Electrical and Computer Engineering

ECEn 370, Probabillity Theory

ECEn 487, Discrete-time Signal Processing

ECEn 490, Software Radio Senior Project

Curriculum Innovations 

Dr. Jeffs teaches a wide variety of graduate and undergraduate courses in the areas of signals and systems, and electronic circuits. At the graduate level his regular lectures include Digital Image Processing (ECEn 678), Advanced Digital Signal Processing (ECEn 777), and Stochastic Processes (ECEn 670). Undergraduate offerings include Introduction to Digital Signal Processing (ECEn 487), Real-time DSP laboratory (ECEn 487 Lab), Probability theory (ECEn 370), Software Radio Senior Project (ECEn 490), Signals and Systems (ECEn 380), Introduction to Circuits (ECEn 212), and Electronic Circuits and Devices (ECEn 313).

The following list itemizes some of the curriculum innovations and new courses developed and introduced by Dr. Jeffs.

1. ECEn 487, Discrete-Time Signal Processing lecture and Real-Time Digital Signal Processing Laboratory. The lecture course was revised and moved to the undergraduate level by Dr. Jeffs. This permitted much more advanced offerings at the graduate level. The associated real-time DSP lab, developed by Dr. Jeffs, uses the TMS320C6701 floating point signal processor evaluation module. Students develop code for filters, a spectrum analyzer, acoustic direction finder, and adaptive noise canceller.
2. ECEn 490, Software Radio Senior Project. In this lab course, teams of upper division students (four per team) design a complete operational DSP-based digital communications receiver in a competitive environment. The 924 MHz QPSK receiver is implemented in real-time DSP code on a Texas Instruments TMS320C6701 floating point evaluation board. Students must design and build the antenna, radio frequency front-end circuits, and develop code for the digital demodulation. Teams compete based on lowest transmit power required for a specified bit error rate at a fixed distance. Winning teams receive a significant cash award from corporate sponsors.
3. ECEn 212 lab, Circuits Laboratory. This course is based on a semester-long major project where the students design and build a complete stereo audio amplifier and speaker system, and in the process apply all of the major circuits principles taught in class.
4. ECEn 380 Signals and systems. Dr. Jeffs led the effort in 1991 to have this course on linear systems and transforms expanded and moved from the graduate level to be taught at the Junior level. The current course syllabus was developed and first taught by Dr. Jeffs.
5. ECEn 316, Signals and Systems Laboratory. This companion to ECEn 380 included op-amp and DSP-based experiments to study principles of both analog and digital linear systems.
6. ECEn 687, Advanced Digital Signal Processing. Includes topics of statistically optimal signal processing, array processing, adaptive filtering, parametric spectral analysis, etc.
7. ECEn 619, Advanced Digital Image Processing. Includes in depth study of iterative and regularized methods for image restoration and medical image reconstruction. The ill-posed inverse problem is analyzed.

Radio Astronomy Research Lab

Wireless Communications Research Group

The major area of focus for Dr. Jeffs' research includes the related disciplines of digital signal processing, sensor array processing, and digital image restoration. The following list describes research topics Dr. Jeffs has been involved with, with the most recent activities listed first.

1. Phased array feeds for radio telescopes dishes: A new trend in developing the next generation of radio telescopes is to use a compact array of antennas at the focal plane of a large dish reflector. Compared to traditional single waveguide feeds, these phased array feeds (PAFs) can increase the instrument field of view and sky survey speed. Unique challenges associated with PAF observations, including extremely low signal levels, long-term system gain stability requirements, spatially correlated noise due to mutual coupling, and tight beamshape tolerances, require the development of new array signal processing techniques for this application. We are studying calibration and beamforming strategies for PAFs including interference mitigation with power spectral density (PSD) estimation bias correction. We have extended key efficiency metrics for single-feed instruments to the array case and are using these to verify performance of the algorithms. We are collaborating with the National Radio Astronomy Observatory (NRAO) validate these techniques using an experimental PAF prototype on the Green Bank 20-Meter Telescope.

 

2. Self calibration for low frequency radio astronomical arrays: There is growing interest in radio astronomical observations in the low frequency range where it may be possible to detect the most distant, and highly redshifted celestial objects yet observed. Instruments must detect signals at unusually low frequencies (10-350 MHz) and over large apertures (100 km). Major projects include the Dutch Low Frequency Array (LOFAR), the Giant Metre-wave Radio Telescope (GMRT), the Long Wavelength Array (LWA), and low-frequency retrofits to the Very Large Array (VLA) in New Mexico, and the Murchison Wide Field Array in Australia. Our research addresses the most significant outstanding calibration challenge for large low-frequency arrays, i.e. correction for ionospheric phase distortion. At these frequencies the Earth's ionosphere acts as a random refractive sheet which over the large aperture induces source-direction-dependent gain and phase errors that must be estimated and calibrated out. Due to direction dependence, existing self calibration techniques cannot be applied. We have studied the direction dependent calibration problem in detail for the LOFAR and VLA arrays from a parameter estimation theoretic perspective. Self calibration algorithms have been proposed, and Cramer-Rao lower bounds (CRB) have been developed to guide further algorithm development and array geometry design.

 

3. Adaptive interference mitigation for radio astronomy: Radio astronomical observation is increasingly plagued by man-made interference from ground based broadcast, mobile wireless communications, and satellite downlink sources. We have studied several mitigation approaches. Real-time signal processing tools have been developed to cancel space-based interference using adaptive filtering techniques. This has been successfully demonstrated at the National Radio Astronomy Observatory (NRAO) 100m Green Bank Telescope (GBT). New algorithms have been developed and analyzed for algebraically projecting out interference seen in imaging arrays like the Very Large Array in New Mexico. Kalman tracking techniques have been adapted to improve data time blanking for removing aviation radar interference seen at the GBT. Adaptive beamforming cancellation has been employed with a phased array feed on the Green Bank 20 meter Telescope dish to remove mobile interference. Estimation bias caused by array interference cancellation has been studied and correction algorithms proposed.

 

4. Multiple antenna arrays for wireless communication: Recently developed algorithms for space-time coded Multiple Input, Multiple Output (MIMO) wireless systems have been shown to be theoretically capable of increasing channel capacity by an order of magnitude or more. This gain is achieved using multiple antennas at both the transmit and receive ends of a wireless link to exploit the presence of multipath scattering, without increasing radio frequency bandwidth requirements. We have studied both the indoor and outdoor MIMO channel environments with an experimental channel sounding platform. Based on these observations, statistical models to enable realistic channel capacity calculations were proposed.

 

5. Multiframe blind restoration of adaptive optics telescope images: This research is directed at high resolution restoration of multiframe adaptive optics (AO) telescopic images. AO systems remove in real time much of the atmospheric-turbulence-induced blur, but a residual time-varying component remains. While observing a single object, the sequence of AO image frames has a different unknown residual blur point-spread function per frame. This constitutes a multiframe, blind image restoration problem. Algorithms based on Bayesian restoration using Markov random field models for the unknown object and psf's have been developed and shown to provide high quality restorations.

 

6. Deblurring of point source images: We have shown that for point-like images (star fields, bio-magnetic imaging, optical target tracking, etc.), restoration and reconstruction methods which exploit the known point-like structure far outperform conventional methods. Two techniques to identify and localize the image point sources corresponding to individual stars have been studied: an optimization theoretic approach based on a sparseness metric, and an image subspace decomposition method.

Research Grants Received by Brian D. Jeffs 

1. National Science Foundation. (co-PI) K.F. Warnick, B.D. Jeffs, J.R. Fisher, R.D. Norrod, “MRI: Development of a Flexible Multichannel Digital Receiver for Radio Astronomy,” Sep. 2008, $641,275
2. National Science Foundation. (PI) B.D. Jeffs, K.F. Warnick, J.R. Fisher and R.F. Bradley, “Research experience for undergraduates: RFI mitigation for radio astronomy with emphasis on array feeds,” Aug. 2007, 12 months, supplemental award, $22,500.
3. National Science Foundation. (co-PI) J.R. Fisher, R.F. Bradley, B.D. Jeffs and K.F. Warnick, “Development of real-time interference mitigation instrumentation for radio astronomy,” Feb. 2005, $321.919, BYU subcontract: $117,900.
4. National Science Foundation. (PI) B.D. Jeffs, K.F. Warnick, J.R. Fisher and R.F. Bradley, “RFI mitigation for radio astronomy with emphasis on array feeds,” Sep. 2004, 36 months, $573,665.
5. Stichting voor de Technische Wetenschappen, STW (Foundation for Technical Sciences, Netherlands equivalent of NSF). (co-PI) B.D. Jeffs and A.-J. van der Veen, “Grant for living expenses and travel for research sabbatical visit to Technical University of Delft,” competitive, Aug. 2004, 11 months, $30,000.
6. Technical University of Delft. (co-PI) B.D. Jeffs and A.-J. van der Veen, "Grant for half salary for research sabbatical visit to Technical University of Delft,” Aug. 2004, 11 months, $30,000.
7. U.S. Army Communications-Electronics Command. (PI) B.D. Jeffs, principal investigator “Experimental analysis of impairments to RFI mitigation,” Mar. 2003, 12 months, $97,530.
8. National Science Foundation. (co-PI) A.L. Swindlehurst, B.D. Jeffs, M.A. Jensen, and M. Rice, “Development of a comprehensive real-time instrument for MIMO wireless channel measurement,” Aug. 2000, 36 months, $370,567.
9. National Science Foundation. (co-PI) A.L. Swindlehurst, B.D. Jeffs, M.A. Jensen, and M.D. Rice, “Analysis of the capacity improvement for wireless networks with multiple transmit and receive antennas,” Sep. 2000, 36 months, $499,761.
10. National Science Foundation. (PI) B.D. Jeffs, D.V. Arnold, R.F. Bradley, and J.R. Fisher, “Real-time adaptive cancellation of non-stationary interference in radio astronomy,” Jul. 2000, 36 months, $600,280.
11. National Science Foundation. (co-PI) A.L. Swindlehurst, B.D. Jeffs, M.A. Jensen, and M. Rice, “Modeling and design for the lower layers of 4th generation indoor/outdoor wireless networks,” Sep. 1999, 36 months, $697,636.
12. Air Force Office of Scientific Research. (PI) B.D. Jeffs, “Algebraic methods for improved blind restoration of adaptive optics images of space objects,” Air Force Office of Scientific Research, Summer Research Extension Program, 1999, $25,000.
13. Air Force Office of Scientific Research. (PI) Brian D. Jeffs, “Bayesian restoration of space object images from adaptive optics data with unknown residual blur,” Air Force Office of Scientific Research, Summer Research Extension Program, 1998, $25,000.
14. Department of Energy / Los Alamos National Laboratory. (PI) B.D. Jeffs, “Airborne plume identification using generalized gauss-markov model parameter estimation,” Jul. 1997, 12 months, $20,000.
15. Engineering Foundation, Air Force Engineering Research Initiation Grant. (PI) B.D. Jeffs, “Design of sparse beamforming arrays using an optimization theoretic approach,” Sep. 1991, 11 months, $23,000. (Note, this award was subsequently returned to the Engineering Foundation as per their policy after receiving the NSF Research Initiation Award on a different proposed project.)
16. National Science Foundation, Research Initiation Award. (PI) B.D. Jeffs, “Optimally sparse restoration of blurred star field images,” Aug. 1991, 36 months, $59,980.
17. Space Dynamics Laboratory / Utah State University. (PI) B.D. Jeffs, “Algorithm development for Spirit III,” including research to evaluate candidate algorithms for space-born infrared imaging array data preprocessing and resolution enhancement, Nov. 1991, four months, $1,500.
18. Space Dynamics Laboratory / Utah State University. (PI) B.D. Jeffs, BYU IR Initiative, subcontract number C868770. “Adaptive optimal image restoration,” Sep. 1991, 27 months, $46,716.
19. Naval Research Laboratory, subcontract through JIL Systems Incorporated. (co-PI) D.M. Chabries, R.H. Selfridge, and B.D. Jeffs, “Advanced submarine technologies,” including research in the areas of underwater acoustic imaging and modeling of acoustic scattering from submerged bodies, Jul. 1990, 13 months, $116,800.

Total awards and contracts as PI: $1,472,171.

Journal Articles 

1. B.D. Jeffs, K.F. Warnick, J. Landon*, J. Waldron*, D. Jones*, J.R. Fisher, and R.D. Norrod, “Signal processing for phased array feeds in radio astronomical telescopes,” to appear, IEEE Journal of Selected Topics in Signal Processing,Sept., 2008. PDF file
2. K. F. Warnick and B. D. Jeffs, “Beam efficiencies and system temperature for a focal plane array,” to appear, IEEE Antennas and Wireless Propagation Letters, 2008. PDF file
3. B.D. Jeffs and K.F. Warnick, “Bias corrected PSD estimation for an adaptive array with moving interference,” IEEE Transactions on Signal Processing, vol. 56, no. 7, doi:10.1109/TSP.2008.919637, pp. 3108-3121 July, 2008. PDF file
4. J. R. Nagel*, K. F. Warnick, B. D. Jeffs, J. R. Fisher, and R. Bradley, “Experimental verification of radio frequency interference mitigation with a focal plane array feed,” Radio Science, vol. 42, RS6013, doi:10.1029/2007RS003630, 2007. PDF file
5. S. van der Tol*, B.D. Jeffs and A.-J. van der Veen, “Self calibration for the LOFAR radio astronomical array,” IEEE Trans. on Signal Processing, vol. 55, no. 9, pp. 4497-4510, Sept., 2007. PDF file
6. .F. Warnick and B.D. Jeffs, “Gain and aperture efficiency for a reflector antenna with an array feed,” IEEE Antennas and Wireless Propagation Letters, vol. 5, pp. 499-502, December, 2006. PDF file
7. B.D. Jeffs, W. Lazarte*, and J.R. Fisher, “Bayesian detection of radar interference in radio astronomy,” Radio Science, vol. 41, RS3006, doi:10.1029/2005RS003400, June, 2006. PDF file
8. A.J. Poulsen*, B.D. Jeffs, K.F. Warnick and J.R. Fisher, “Programmable real-time cancellation of GLONASS interference with the Green Bank Telescope,” Astronomical Journal, vol. 130, no. 6, pp. 2916-2927, December, 2005. PDF file
9. W. Dong*, B.D. Jeffs and J.R. Fisher, “Radar interference blanking in radio astronomy using a Kalman tracker,” Radio Science, RS5S04, doi:10.1029/2004RS003130, vol. 40, no. 5, June, 2005. PDF file
10. C.K. Hansen*, K.F. Warnick, B.D. Jeffs, J.R. Fisher and R. Bradley, “Interference mitigation using a focal plane array,” Radio Science, RS5S16, doi:10.1029/2004RS003138, vol. 40, no. 5, 2005, June, 2005. PDF file
11. B.D. Jeffs, L. Li* and K.F. Warnick, “Auxiliary antenna assisted interference mitigation for radio astronomy arrays,” IEEE Transactions on Signal Processing, vol. 53, No. 2, pp. 439-451, February, 2005. PDF file
12. J.W. Wallace, M.A. Jensen, A.L. Swindlehurst, and B.D. Jeffs, “Experimental characterization of the MIMO wireless channel: data acquisition and analysis,” IEEE Transactions on Wireless Communications, vol. 2, No. 2, pp. 335-343, March 2003. PDF file
13. Q.H. Spencer*, B.D. Jeffs, M.A. Jensen, and A.L. Swindlehurst, "Modeling the statistical time and angle of arrival characteristics of an indoor multipath channel," IEEE Journal on Selected Areas in Communications, vol. 18, No. 3, pp 347-360, March 2000. PDF file
14. M. Gunsay* and B.D. Jeffs, “Point source localization in blurred images by a frequency domain eigenvector based method,” IEEE Trans. on Image Processing, vol. 4., No. 12, pp. 1602-1612, Dec., 1995. PDF file
15. W.H. Pun* and B.D. Jeffs, “Adaptive image restoration using a generalized Gaussian model for unknown noise,” IEEE Trans. on Image Processing, vol. 4., No. 10, pp. 1451-1456, Oct., 1995. PDF file
16. B.D. Jeffs and M. Gunsay*, “Restoration of blurred star field images by maximally sparse optimization,” IEEE Transactions on Image Processing, vol. IP-2 No. 2, pp. 202-211, Apr., 1993. PDF file
17. R.M. Leahy and B.D. Jeffs, “Maximally sparse beamforming array design,” IEEE Trans. Antennas and Prop., vol. AP-39, No. 8, pp. 1178-1187, Aug. 1991. PDF file
18. B.D. Jeffs, R.M. Leahy, and Manbir Singh, “An evaluation of methods for neuromagnetic image reconstruction,” IEEE Trans. Biomed. Eng., vol. BME-34, pp. 713-723, 1987. PDF file

Journal Articles Currently in Review

1. B.D. Jeffs and K.F. Warnick, “Spectral bias in adaptive beamforming with narrowband interference,” IEEE Transactions on Signal Processing, in review, 2008. PDF file

Full Manuscript Reviewed Conference Proceedings

1. B.D. Jeffs and K.F. Warnick, “Bias corrected PSD estimation with an interference canceling array,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP-2007, vol. II, pp 1145-1148, April 15-20, 2007, Honolulu. PDF file
2. B.D. Jeffs, S. van der Tol*, and A.-J. van der Veen, “Direction dependent self calibration of large distributed sensor arrays,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP-2006, vol. IV, pp 1069-1072, May 2006, Toulouse, France. PDF file
3. S. van der Tol*, B.D. Jeffs, and A.-J. van der Veen, “Direction dependent calibration for radio astronomical arrays,” Proceedings of EUSIPCO-2005, Sept. 2005, Antalya, Turkey. PDF file
4. W. Dong*, B.D. Jeffs and J.R. Fisher, “A Kalman-tracker-based Bayesian detector for radar interference in radio astronomy,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP-2005, vol. IV, pp. 657-660, March, 2005, Philadelphia. PDF file
5. A.J. Boonstra, S.J. Wijnholds, S. v.d. Tol and B. Jeffs, “Calibration, sensitivity, and RFI mitigation requirements for LOFAR,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP-2005, vol. V, pp. 869-872, March, 2005, Philadelphia. PDF file
6. N.B. Shelton* and B.D. Jeffs, “A robust iterative algorithm for wireless MIMO array auto-calibration,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP-2004, vol. II, pp. 341-344, May, 2004, Montreal. PDF file
7. C.K. Hansen*, K.F. Warnick, and B.D. Jeffs, “Interference cancellation using an array feed design for radio telescopes,” Proceedings of IEEE Antennas and Propagation Society International Symposium, vol. 1, pp. 539-542, Monterey, CA, pp. 539-542, June 20-25, 2004. PDF file
8. J.W. Wallace, B.D. Jeffs, and M.A. Jensen, “A real-time multiple antenna element testbed for MIMO algorithm development and assessment,” Proceedings of IEEE Antennas and Propagation Society International Symposium, vol. 2, Monterey, CA, pp. 1716-1719, June 20-25, 2004. PDF file
9. B.D. Jeffs, K.F. Warnick and L. Li*, “Improved interference cancellation in synthesis array radio imaging using auxiliary antennas,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP-2003, April, 2003, Hong Kong, vol. V, pp. V-77-V-80. PDF file
10. B.D. Jeffs and J.W. Wallace*, “MIMO wireless multipath ray parameter estimation from channel transfer matrix measurements,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP-2002, vol. III, May 13-17, 2002, Orlando, pp. 2345-2348. PDF file
11. B.D. Jeffs, E. Pyper*, and B. Hunter*, “A wireless MIMO channel probing approach for arbitrary antenna arrays,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP-2001, vol. IV, May 7-11, 2001, Salt Lake City, UT, pp. 2493-2496. PDF file
12. E. Pyper* and B.D. Jeffs, “Recovery of MIMO wireless channel ray structure using a modified CLEAN deconvolution algorithm,” Optical Society of America Technical Digest, Signal Recovery and Synthesis,” Nov. 5-7, 2001, pp. 121-123. Invited paper.
13. B.A. Chipman* and B.D. Jeffs, “Blind point-source image restoration using subspace techniques,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP-2000, vol. IV, June 5-9, 2000, Istanbul, Turkey, pp. 2207-2210. PDF file
14. M. Willis*, B.D. Jeffs and D.G. Long, “Maximum entropy image restoration revisited,” Proceedings of ICIP'2000, IEEE International Conference on Image Processing, Sept. 10-13, 2000, Vancouver, Canada, vol. 1, pp. 89-92. PDF file
15. B.A. Chipman* and B.D. Jeffs, “Blind multiframe point source image restoration using MAP estimation,” Conference Record, Thirty-Third Asilomar Conference on Signals, Systems, & Computers, Nov. 1999, Pacific Grove CA, vol. 2, pp 1267-1271. Invited paper. PDF file
16. M. Willis*, B.D. Jeffs and D.G. Long, “A new look at maximum entropy image reconstruction,” Conference Record, Thirty-Third Asilomar Conference on Signals, Systems, & Computers, Nov. 1999, Pacific Grove CA, vol. 2, pp. 1272-1276. PDF file
17. M.A. Jensen, Q.H. Spencer, A.L. Swindlehurst, and B.D. Jeffs, “Measurement and modeling of temporal and spatial indoor multipath, ” Proceedings of the IEEE Antennas and Propagation Society International Symposium, July 11-16, 1999, vol. 1, pp. 388-391. PDF file
18. B.D. Jeffs, S. Hong* and J. Christou, “A generalized Gauss Markov model for space objects in blind restoration of adaptive optics telescope images,” Proceedings of ICIP'98, IEEE International Conference on Image Processing, Oct. 4-7, 1998, Chicago, IL, vol. 3, paper WP6.07. PDF file
19. A.H. Gardiner* and B.D. Jeffs, “A Non-uniformly sampled Markov random field model for MAP reconstruction of magnetoencephalogram images,” Proceedings of ICIP'98, IEEE International Conference on Image Processing, Oct. 4-7, 1998, Chicago, IL, paper WP6.07, vol. 3. PDF file
20. B.D. Jeffs, J. Christou and S. Hong*, “Blind MAP restoration of adaptive optics telescope images using estimated shape parameters for generalized Gaussian MRF models,” Proceedings of the 1998 IEEE DSP Workshop, August 9-12, 1998, Bryce Canyon, Utah, Paper no. 156.
21. B.D. Jeffs and A.H. Gardiner*, “Markov random field image prior models for MAP reconstruction of magnetoencephalogram images,” Conference Record, Thirty-Sixth Asilomar Conference on Signals, Systems, and Computers, Nov. 1-4, 1998, Pacific Grove, CA, vol. 1, pp. 314-318. PDF file
22. B.D. Jeffs, “Sparse inverse solution methods for signal and image processing applications,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP-98, May 12-15, 1998, Seattle Washington, vol. 3, pp. 1885-1888. Invited Paper. PDF file

Extended Summary Reviewed Conference Proceedings

1. Q.H Spencer*, B.D. Jeffs, M.A. Jensen, and A.L. Swindlehurst, “Experiments in modeling the space-time indoor wireless communication channel,” IEEE Workshop on Signal Processing Advances in Wireless Communications, 1997. PDF file
2. B.D. Jeffs and W.H. Pun*, “Simple shape parameter estimation from blurred observations for a generalized Gaussian MRF image prior used in map image restoration,” Proceedings of the IEEE International Conference on Image Processing, ICIP-96, 16-19 Sept., 1996, vol. II, pp. 465-468. PDF file
3. B.D. Jeffs, “Rank enhancement for eigenstructure -based direction finding using arrays with non-uniform element responses,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP'96, May 7-10, 1996, Atlanta GA, vol. VI, pp. 2181-3184. PDF file
4. W.H. Pun* and B.D. Jeffs, “A comparison of methods for estimating shape parameters in generalized Gauss Markov random fields,” Proceedings of the Ninth Workshop on Image and Multidimensional Signal Processing, March 3-6, 1996, IEEE Signal Processing Society, pp. 92-93.
5. W.H. Pun* and B.D. Jeffs, “Shape parameter estimation for generalized Gaussian Markov random field models used in MAP image restoration,” Conference Record, 29th Asilomar Conf. on Signals, Systems, and Computers, Oct. 29-Nov. 2, 1995, IEEE Computer Society Press, pp. 1472-1476. PDF file
6. W.H. Pun* and B.D. Jeffs, “MAP image restoration using an adaptive generalized Gaussian Markov random field model,” Record, IASTED International Conference on Signal and Image Processing (SIP-95), Nov. 20-23, 1995.
7. B.D. Jeffs and M. Gunsay*, “Performance analysis for a subspace decomposition point-source image restoration algorithm,” Proc. of the IEEE International Conf. on Image Processing, ICIP-94, vol. 2, 13-16 Nov., 1994, pp. 675-679. PDF file
8. W.H. Pun* and B.D. Jeffs, “Iterative adaptive lp restoration of blurred images,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP'94, vol. 5, 19-22 April 1994, pp. 449-452. PDF file
9. M. Gunsay* and B.D. Jeffs, “A subspace decomposition method for point source localization in blurred images,” Proc. of IEEE Intern. Conf. Acous., Speech, and Sig. Proc., ICASSP'94, vol. 5, 19-22 April 1994, pp. 469-472. PDF file
10. M. Gunsay* and B.D. Jeffs, “An eigenvector based method for point source localization in blurred images,” Conference Record, 27th Asilomar Conf. Signals, Syst., Comp., pp. 159-168, Nov. 1-3. 1993. PDF file
11. W.H. Pun* and B.D. Jeffs, “Model adaptive restoration,” Conference Record, 27th Asilomar Conf. Signals, Syst., Comp., pp. 573-577, Nov. 1-3. 1993. PDF file
12. B.D. Jeffs and D. Elsmore*, “Maximally sparse reconstruction of blurred star field images,” Proc. of IEEE International Conf. Acous., Speech, and Sig. Proc., ICASSP '91, vol. 4, pp. 2937-2940 May 1991. PDF file
13. R.M. Leahy and B.D. Jeffs, “Optimal element placement in conformal beamforming,” Proc. 22nd Asilomar Conf. Signals, Syst. Comp., Nov. 1988. PDF file
14. R. Leahy, B. Jeffs and Z. Wu, “A DSP algorithm for minimum order solutions,” Proc. 21st Asilomar Conf. Signals, Syst., Comp., Asilomar, CA, Nov. 1987.

Abstract Reviewed and Other Conference Articles, Presentations, and Reports

1. B.D. Jeffs, K.F. Warnick, M. Elmer*, J. Landon*, J. Waldron*, D. Jones*, R. Fisher, and R. Norrod, “Calibration and optimal beamforming for a 19 element phased array feed,” Calibration and Imaging Workshop, CALIM2008, Perth Australia, 7-9 Apr. 2008. http://calim2008.atnf.csiro.au/twiki/pub/Main/WorkshopProgram/JeffsCalim.pdf. PDF file
2. K. F. Warnick, D. Jones, B. D. Jeffs, and M. A. Jensen, “Noise penalty due to mutual coupling for receive arrays,” URSI National Radio Science Meeting, Boulder, CO, Jan. 3-6, 2008.
3. J. Landon*, D. Jones*, B. D. Jeffs, K. F. Warnick, R. Fisher, and R. Norrod, “Interference cancellation and sensitivity optimization using an L-band focal plane array on the Green Bank 20m Telescope,” URSI National Radio Science Meeting, Boulder, CO, Jan. 3-6, 2008. PDF file
4. K. F. Warnick, J. Waldron*, J. Landon*, M. Lilrose*, and B. D. Jeffs, “Experimental results on interference mitigation with a 19 element array feed,” Proceedings of 2nd European Conference on Antennas and Propagation, Edinburgh, UK, Nov. 11-16, 2007.
5. K. F. Warnick, B. D. Jeffs, J. Landon*, J. Waldron, D. Jones*, A. Stemmons*, “BYU/NRAO 2007 Green Bank 20 Meter Telescope focal plane array – modeling and experimental results,” invited presentation, SKADS MCCT Technical Workshop on ‘Design of Wideband Receiving Array Systems,’ Dwingeloo, The Netherlands, Nov. 26-30, 2007. PDF file
6. B.D. Jeffs, K.F. Warnick and J. Nagel*, “On interference cancellation with a focal plane array,” Square Kilometer Array Calibration and Imaging Workshop, CALIM2006, Cape Town, South Africa, Dec. 4-6, 2006, http://www.kat.ac.za/calim2006/wiki/Program. PDF file
7. S. van der Tol* and B.D. Jeffs, “Theoretical performance bounds for LOFAR calibration,” Square Kilometer Array Widefield Imaging Workshop, June 22-24, 2005, Dwingloo, The Netherlands, http://www.skatelescope.org/pages/news/Wrksp20220605.htm. PDF file
8. B.D. Jeffs and S. van der Tol*, “Analysis of the peeling algorithm,” Square Kilometer Array Widefield Imaging Workshop, June 22-24, 2005, Dwingloo, The Netherlands, http://www.skatelescope.org/pages/news/Wrksp20220605.htm. PDF file
9. W. Dong* and B.D. Jeffs, “Kalman tracking and Bayesian detection for radar RFI blanking,” Proceedings of RFI2004, IUCAD DRAO Workshop in Mitigation of Radio Frequency Interference in Radio Astronomy, Penticton, British Columbia, July 16 - 18, 2004, http://www.drao-ofr.hia-iha.nrc-cnrc.gc.ca/rfi2004/. PDF file
10. C. Hansen*, K. Warnick, B. Jeffs, R. Fisher and R. Bradley, “Interference mitigation using an array feed,” Proceedings of RFI2004, IUCAD DRAO Workshop in Mitigation of Radio Frequency Interference in Radio Astronomy, Penticton, British Columbia, July 16 - 18, 2004, http://www.drao-ofr.hia-iha.nrc-cnrc.gc.ca/rfi2004/. PDF file
11. A. Poulsen*, B.D. Jeffs, C. Hansen, K. Warnick, and R. Fisher, “Real-time adaptive cancellation of GLONASS interference in OH signal observations at the Green Bank Telescope,” Proceedings of the USNC/CNC/URSI North American Radio Science Meeting, Columbus OH, p. 641, June 22-27, 2003.
12. C. Hansen*, K. F. Warnick, and B. D. Jeffs, “Adaptive interference cancellation using an array feed design for radio telescopes,” Proceedings of the USNC/CNC/URSI North American Radio Science Meeting, Columbus, OH, p. 642, June 22-27, 2003.
13. L. Li*, B.D. Jeffs, A. Poulsen*, and K. Warnick, “Analysis of adaptive array algorithms performance for satellite interference cancellation in radio astronomy,” Nat. Academies of Sciences and Engineering, URSI General Assembly XXVII, Aug. 2002, Maastricht the Netherlands. Invited paper.
14. B.D. Jeffs, J.R. Fisher, and R.F. Bradley, “Development of a programmable real-time interference canceller for a small radio telescope array,” Nat. Academies of Sciences and Engineering, URSI National Radio Science Meeting, p. 322, Jan. 8-11, 2001, Boulder CO.
15. B.D. Jeffs and J. Christou, “Blind Bayesian restoration of adaptive optics images using generalized Gaussian Markov random field models,” Proceedings of the SPIE, Conference 3353, Adaptive Optical System Technologies, Mar. 23-26, 1998, Kona Hawaii, pp. 1006-1013
16. Q. Spencer*, B. Jeffs, M. Jensen, M. Rice, "Indoor wideband time/angle of arrival multipath propagation results," Proceedings of the IEEE Vehicular Technology Conference, Phoenix, vol. 3, May, 1997, pp. 1410-1414. PDF file
17. Q. Spencer*, B. Jeffs, M. Jensen, M. Rice, "A statistical model for angle of arrival in indoor multipath propagation," Proceedings of the IEEE Vehicular Technology Conference, Phoenix, vol. 3, May, 1997, pp. 1415-1419. PDF file
18. B.D. Jeffs and W.H. Pun*, “Model adaptive optimal image restoration,” Proc. of the SPIE Conf. on Applications of Digital Image Processing XV, SPIE vol. 1771, pp. 307-321, July 19-24, 1992.
19. B.D. Jeffs, M. Gunsay*, and J Dougal*, “Resolution enhancement of blurred star field images by maximally sparse restoration,” Proc. of the SPIE Conf. on Applications of Digital Image Processing XIV, SPIE vol. 1567, pp. 511-521, July 22-26, 1991.
20. R. Leahy, B. Jeffs, M. Singh, and R. Brechner, “Evaluation of algorithms for a SQUID detector neuromagnetic imaging system,” Proc. of the SPIE Conf. on Medical Imaging, Newport Beach, CA, Feb. 1987.
21. B.D. Jeffs, R.M. Leahy and M. Singh, “Analysis of reconstruction algorithms for neuromagnetic imaging using SQUID-detectors,” Proc. of IEEE ASSP 1986 Digital Signal Processing Workshop, Chatham, MA, Oct. 20-22, 1986.