News Research
Teaching Students
Publications
Bio
News
- Aug 16 2007: I have joined the school of EECS at
Oregon State University as an assistant professor.
- Prospective
students: if
you are interested in research in statistical signal processing and
statistical/machine learning and would like to be considered for a
graduate
research assistantship, email me with your cv/resume and a letter
stating
your academic interests.
Research
My current research
focuses on the following:
- Adaptive
Sensing/Sampling. In the classical setting, a measurement setup
remains fixed throughout the process of data acquisition. In adaptive
sensing, at every time step, the measurement setup is altered based on
past measurements
to overall maximize the information of interest. Some of the active
areas of application of this concept
appear in mine detection, see through the wall, SAR imaging, and target
tracking.
- Manifold Learning.
Manifolds offer the capability to describe high dimensional data using
a low dimensional representation. Dimensionality
reduction of high-dimensional data that lies on a manifold allows
visualization of the data, reduction in computational complexity of
data processing, and the capability of intrinsic data processing. Areas
of application include: medical diagnosis, target recognition, analysis
of internet data, and sensor networks.
- Sparse Representations
for Signal Processing. We are interested in investigating data
that is
sparse according to some basis or dictionary. In other words, the data
can be represented using only a small number of basis/dictionary
elements. Image compression methods, which are based
on vector quantization, demonstrate that an image can be represented in
a sparse fashion through fixed bases, e.g., discrete cosine transform
(DCT) and wavelets. Sparse reconstruction takes advantage of the signal
sparsity in reproducing the signal from partial and/or noisy
observations. Areas of application include: electromagnetic
imaging, molecular imaging, and sensor/waveform selection.
Teaching
Students
Current students:
PhD students co-advised with Prof. Alfred Hero at the
University of
Michigan:
MSc students co-advised with Prof. Alfred Hero at the
University of
Michigan:
- Xing Zhou
(zhouxing at umich.edu). Currently at Northrop Grumman.
Publications
Book chapters
[1] R. Rangarajan, R. Raich, and
A. O. Hero III, "Sparsity
penalized MDS for blind tracking in sensor networks," in Advances
in Sensor Networks, V. Saligrama, Ed. NY:
Springer, 2007.
Journal papers
Submitted
[12] E. Bashan, R. Raich, and A. O. Hero III, “Optimal
two-stage search for sparse targets using convex criteria,” Dec. 2007,
submitted to IEEE Trans. Signal
Processing.
Published
[11]
R. Rangarajan, R. Raich, and A. O. Hero III, "Optimal
sequential energy allocation for inverse problems," IEEE J. Sel.
Topics in Signal Process. (JSTSP), vol. 1, no. 1, pp.
67-78, June 2007.
[10]
K. Choi, A. D. Lanterman, and R. Raich, "Convergence of
the Schulz-Snyder phase retrieval algorithm to local minima," Journal
of the Optical Society of America A, vol. 23, no. 8, pp.
1835-1845, Aug. 2006.
[9] R. Raich, H. Qian, and G. T. Zhou, "Optimization of
SNDR for amplitude-limited nonlinearities," IEEE Trans. on
Communications, vol. 53, no. 11, pp. 1964-1972, Nov.
2005.
[8] R. Raich, G. T. Zhou, and M. Viberg, "Subspace based
approaches for Wiener system identification," IEEE Transactions on
Automatic Control, pp. 1629-1634, Oct. 2005.
[7]
G. T. Zhou, H. Qian, L. Ding, and R. Raich, "On the
baseband representation of a bandpass nonlinearity," IEEE Trans.
Signal Processing, vol. 53, no. 8, pp. 2953-2957, Aug.
2005.
[6]
R. Raich and G. T. Zhou, "Orthogonal polynomials for complex
Gaussian processes," IEEE Trans. Signal Processing,
vol. 52, no. 10, pp. 2788-2797, Oct. 2004.
[5]
R. Raich, H. Qian, and G. T. Zhou, "Orthogonal
polynomials for power amplifier modeling and predistorter design," IEEE
Trans. on Vehicular Technology, vol. 53, no. 5, pp.
1468-1479, Sept. 2004.
[4]
G. T. Zhou and R. Raich, "Spectral analysis of polynomial
nonlinearity with applications to RF power amplifiers," EURASIP
Journal on Applied Signal Processing, Special Issue on Nonlinear Signal
and Image Processing, vol. 2004, pp. 1831-1840, Sept. 2004.
[3]
J. Friedmann, R. Raich, J. Goldberg, and H. Messer,
"Bearing estimation for a distributed source of non constant modulus," IEEE
Trans. Signal Processing, vol. 51, no. 12, pp.
3027-3035, Dec. 2003.
[2]
R. Raich, J. Goldberg, and H. Messer, "Bearing
estimation for a distributed source: Modeling, inherent accuracy
limitations and algorithms," IEEE Trans. Signal Processing,
vol. 48, no. 2, pp. 429-441, Feb. 2000.
[1] R. Raich and R. Vaughan, "Source power distribution for
a
multipath environment using a near field circular array beamformer," IEE
Electronics Letters, vol. 35, no. 22, pp. 1893-1894,
Oct. 1999.
Conference papers
[32] R. Rangarajan, R. Raich, and A. O. Hero, “Euclidean matrix
completion problems in tracking and geo-localization,” in Proc. IEEE Intl. Conf. Acoust., Speech,
Signal Processing, Las Vegas, NV, 2008, accepted.
[31] K. Herrity, R. Raich, and A. O. Hero, “Blind deconvolution for
sparse molecular imaging,” in Proc.
IEEE Intl. Conf. Acoust., Speech, Signal Processing, Las Vegas,
NV, 2008, accepted.
[30] K. M. Carter, R. Raich, and A. O. Hero, “FINE: information
embedding for document classification,” in Proc. IEEE Intl. Conf. Acoust., Speech,
Signal Processing, Las Vegas, NV, 2008, accepted.
[29] K. Herrity, R. Raich, and A. O. Hero, “Blind reconstruction of
sparse images with unknown point spread function,” in Proc. Computational Imaging Conference in
IS&T/SPIE Symposium on Electronic Imaging Science and Technology,
San Jose, CA, Jan. 2008, accepted.
[28] K. M. Carter, R. Raich, and A. O. Hero, “Learning on manifolds for
clustering and visualization,” in Proc.
Allerton Conf. on
Communication, Control, and Computing, Monticello, IL, Sept.
2007.
[27] R. Rangarajan, R. Raich, and A. Hero, “Blind tracking using
sparsity penalized multidimensional scaling,” in Proc. 14th IEEE Signal Processing Workshop
on Statistical Signal and Array Processing, Aug. 2007, pp.
670–674.
[26] K. Carter, R. Raich, and A. Hero, “De-biasing local dimension
estimation,” in Proc. 14th IEEE
Signal Processing Workshop on Statistical Signal and Array Processing,
Aug. 2007, pp. 601–605.
[25] R. Rangarajan, R. Raich, and
A. O. Hero III, "Sequential energy
allocation strategies for channel estimation," in Proc. IEEE Intl.
Conf. Acoust., Speech, Signal Processing, vol. 3, Honolulu,
Hawaii, April 2007, pp. 821-824.
[24] J. A. Marble, R. Raich, and A. Hero, "Iterative
redeployment of
illumination and sensing (IRIS): Application to STW-SAR imaging," in Proc.
of 25th Army Science Conference, Orlando, FL, Nov. 2006.
[23] M. Ting, R. Raich, and A. O. Hero III,
"Sparse image
reconstruction using a sparse prior," in Proc. IEEE Int. Conf.
Image Processing, Atlanta, GA, Oct. 2006, pp. 1261-1264.
[22] R. Raich and A. O. Hero III, "Sparse image
reconstruction for
partially unknown blur functions," in Proc. IEEE Int. Conf. Image
Processing, Atlanta, GA, Oct. 2006, pp. 637-640.
[21] R. Rangarajan, R. Raich, and
A. O. Hero III, "Single-stage
waveform selection for adaptive resource constrained state estimation,"
in Proc. IEEE Intl. Conf. Acoust., Speech, Signal Processing,
vol. 3, Toulouse, France, May 2006, pp. 672-675.
[20] R. Raich, J. A. Costa, and
A. O. Hero III,
"On dimensionality
reduction for classification and its application," in Proc. IEEE
Intl. Conf. Acoust., Speech, Signal Processing, vol. 5,
Toulouse, France, May 2006, pp. 917-920.
[19] R. Rangarajan, R. Raich, and
A. O. Hero III, "Sequential design
of experiments for a Rayleigh inverse scattering problem," in IEEE/SP
13th Workshop on Statistical Signal Processing, Bordeaux, France,
July 2005, pp. 625-630.
[18] R. Rangarajan, R. Raich, and
A. O. Hero III, "Optimal experimental design for an
inverse scattering problem," in Proc. IEEE Intl. Conf. Acoust.,
Speech, Signal Processing, vol. 4, Philadelphia, PA, March
2005, pp. 1117-1120.
[17] H. Qian, R. Raich, and G. T. Zhou, "Optimization of
SNDR in the
presence of amplitude limited nonlinearity and multipath fading," Nov.
2004, accepted to Proc. 38th IEEE Asilomar Conference on Signals,
Systems and Computers, (Pacific Grove, CA).
[16] R. Raich, H. Qian, and G. T. Zhou, "Signal to noise
and
distortion ratio considerations for nonlinear communication channels,"
in Proc. IEEE 6th CAS Symposium on Emerging Technologies:
Frontiers of Mobile and Wireless Communication, Shanghai, China,
May 2004.
[15] H. Qian, R. Raich, and G. T. Zhou, "On the benefits
of
deliberately introduced baseband nonlinearities in communication
systems," in Proc. IEEE Intl. Conf. Acoust., Speech, Signal
Processing, vol. 2, Montréal, Canada, May 2004, pp.
905-908.
[14] R. Raich and G. T. Zhou, "Spectral analysis for bandpass
nonlinearity with cyclostationary input," in Proc. IEEE Intl.
Conf. Acoust., Speech, Signal Processing, vol. 2,
Montréal, Canada, May 2004, pp. 465-468.
[13] C. Xiao, R. Raich, and G. T. Zhou, "QoS constrained
statistical resource reservation for wireless networks," in Proc.
37th IEEE Asilomar Conference on Signals, Systems and Computers,
vol. 2, Pacific Grove, CA, Nov. 2003, pp. 1713-1717.
[12] R. Raich and G. T. Zhou, "Theory and applications of
orthogonal
polynomials for Gaussian input," in Proc. IEEE Workshop on
Statistical Signal Processing, St. Louis, MO, Sept. 2003, pp.
97-100.
[11] G. T. Zhou and R. Raich, "Closed-form expressions of
output power
spectrum for nonlinear power amplifiers with or without memory," in Proc.
IEEE - EURASIP Workshop on Nonlinear Signal and Image Processing,
Trieste, Italy, June 2003.
[10] R. Raich, H. Qian, and G. T. Zhou, "Digital
baseband
predistortion of nonlinear power amplifiers using orthogonal
polynomials," in Proc. IEEE Intl. Conf. Acoust., Speech, Signal
Processing, vol. 6, Hong Kong, China, Apr. 2003, pp. 689-692.
[9] R. Raich and G. T. Zhou, "On the modeling of memory
nonlinear
effects of power amplifiers for communication applications," in Proc. 10th
IEEE DSP Workshop, Pine Mountain, GA, Oct. 2002, pp. 7-10.
[8] Y. C. Park, W. Woo, R. Raich, J. S. Kenney,
and G. T. Zhou,
"Adaptive predistortion linearization of RF power amplifiers using
lookup tables generated from subsampled data," in Proc. Radio and
Wireless Conference, Boston, MA, Aug. 2002, pp. 233-236.
[7] L. Ding, R. Raich, and G. T. Zhou, "A Hammerstein
predistortion linearization design based on the indirect learning
architecture," in Proc. IEEE Intl. Conf. Acoust., Speech, Signal
Processing, vol. 3, Orlando, FL, May 2002, pp. 2689-2692.
[6] J. S. Kenney, W. Woo, L. Ding, R. Raich,
H. Ku, and G. T. Zhou,
"The impact of memory effects on predistortion linearization of RF
power amplifiers," in Proc. 8th International Symposium on
Microwave and Optical Technology, Québec, Canada, June
2001, pp. 189-193.
[5] J. Friedmann, R. Raich, J. Goldberg, and
H. Messer, "Performance
analysis of mis-modeled estimation procedures for a distributed source
of non-constant modulus," in Proc. 11th IEEE Workshop on
Statistical Signal Processing, Orchid Country Club, Singapore,
Aug. 2001, pp. 221-224.
[4] R. Raich and T. Zhou, "Analyzing spectral regrowth of
QPSK and
OQPSK signals," in Proc. IEEE Intl. Conf. Acoust., Speech, Signal
Processing, vol. 4, Salt Lake City, UT, May 2001, pp.
2673-2676.
[3] R. G. Vaughan, P. Teal, and R. Raich, "Short term
mobile channel
prediction using discrete scatterer propagation model and subspace
signal processing algorithms," in Proc. IEEE Vehicular Technology
Conference, vol. 2, Boston, MA, Sept. 2000, pp. 751-758.
[2] R. Raich, J. Goldberg, and H. Messer, "Localization
of a
distributed source which is `partially coherent' - modeling and
Cramér Rao bounds," in Proc. IEEE Intl. Conf. Acoust.,
Speech, Signal Processing, vol. 5, Phoenix, AZ, Mar. 1999,
pp. 2941-2944.
[1] R. Raich, J. Goldberg, and H. Messer, "Bearing
estimation for a distributed source via the conventional beamformer,"
in Proc. 9th IEEE Signal Processing Workshop on Statistical Signal
and Array Processing, Portland, OR, Sept. 1998, pp. 5-8.
Bio
Raviv Raich received the B.Sc. (1994) and M.Sc. (1998) from Tel-Aviv
University and the Ph.D. from Georgia
Institute of Technology (2004),
all in Electrical Engineering. From Fall 2004 to Summer 2007, he was a
postdoctoral
research fellow with the EECS
department at the University of Michigan,
Ann Arbor, MI. Starting Fall 2007, he is a tenure-track assistant
professor with the School of
EECS at Oregon State
University, Corvallis, OR.
Last updated December 14, 2007.
