[2] W. Knecht, R.
Steiner,
M. Joho, and G.S. Moschytz,
Cancelling Spatial
Interference with Nonlinear Filters
in European Conference on Circuit
Theory and Design, H. Dedieu, Ed. August/September 1993, vol. 1, pp.
537-542,
Elsevier.
[3] M. Joho and G. S.
Moschytz,
Adaptive beamforming with
partitioned frequency-domain filters
in IEEE Workshop on Applications
of Signal Processing to Audio and Acoustics, New Paltz, NY, USA, Oct
19-22, 1997.
( ps-file , pdf-file )
[4] M. Joho and G. S.
Moschytz,
On the design of the
target-signal filter in adaptive beamforming
in IEEE International Symposium on
Circuits and Systems, Monterey, CA, June, 1998, vol. 5, pp. 166-169.
( ps-file )
[7] M. Joho and H. Mathis,
``Performance comparison of
combined blind/non-blind source separation algorithms,''
in Proc. International Conference
on Independent Component Analysis and Blind Source Separation,
Aussois,
France, January 11-15, 1999, pp. 139-142.
( ps-file
, pdf-file )
[8] M. Joho and H. Mathis,
An FFT-based algorithm for
multichannel blind deconvolution
in IEEE International Symposium on
Circuits and Systems, Orlando, FL, May 30 - June 2, 1999, pp. III
203-206.
( ps-file ) (filter coefficients )
[9] H. Mathis, M. Joho, and
G. S. Moschytz,
``A simple threshold
nonlinearity for blind signal separation'',
IEEE International Symposium on
Circuits and Systems, Geneva, Switzerland, May 28-31, 2000, pp. IV
489-492.
( ps-file , pdf-file )
[10] M. Joho, H. Mathis, and
R. H. Lambert,
Overdetermined blind
source separation: Using more sensors than source signals in a noisy
mixture'
International Conference on
Independent Component Analysis and Blind Signal Separation, Helsinki,
Finland,
June 19-22, 2000, pp. 81-86.
( ps-file , pdf-file )
[11] H. Mathis, T. P.
von Hoff, and M. Joho,
Blind separation
of mixed-kurtosis signals using an adaptive threshold nonlinearity
Proc. International
Conference on Independent Component Analysis and Blind Signal
Separation, Helsinki,
Finland, June 19-22, 2000, pp. 221-226.
( ps-file , pdf-file )
[12] H. Mathis and M. Joho,
Unbiased Blind Separation
Using the Threshold Nonlinearity'
Proc. Signal Processing Advances
in Wireless Communications SPAWC 2001,
Taoyuan, Taiwan, March 20-23,
2001, pp. 239-242.
( ps-file , pdf-file )
[13] M. Joho, R. H. Lambert,
and H. Mathis,
Elementary Cost
Functions for Blind Separation of Non-Stationary Source Signals
ICASSP 2001, Salt Lake City,
UT, May 7-11, 2001, Vol 5, pp. 2793-2796.
( ps-file , pdf-file )
[14] H. Mathis, T. P.
von Hoff, and M. Joho,
Blind Separation of
Signals with Mixed Kurtosis Signs Using Threshold Activation Functions
IEEE Transactions on Neural
Networks, 2001, Vol. 12, No. 3, May 2001, pp. 618-624.
( pdf-file
)
[15] M. Joho, H. Mathis, and
G. S. Moschytz,
Combined Blind/non-Blind
Source Separation Based on the Natural Gradient
IEEE Signal Processing Letters,
Vol. 8, No. 8, August 2001, pp. 236-238.
( pdf-file
)
[16] R. H. Lambert, M. Joho,
H. Mathis,
Polynomial Singular
Values for Number of Wideband Sources Estimation and Principal
Component Analysis'
International Conference on
Independent Component Analysis and Blind Signal Separation ICA, San
Diego,
CA,
December 9-12, 2001, pp.
379-383.
( pdf-file )
[17] M. Joho and H. Mathis,
Joint Diagonalization of
Correlation Matrices by Using Gradient Methods with Application to
Blind Signal Separation
IEEE Sensor Array and Multichannel
Signal Processing Workshop SAM, Rosslyn, VA, August 4-6, 2002,
pp. 273-277.
( ps-file
, pdf-file )
[18] M. Joho and K. Rahbar,
Joint Diagonalization of
Correlation Matrices by Using Newton Methods with Application to Blind
Signal Separation
IEEE Sensor Array and Multichannel
Signal Processing Workshop SAM, Rosslyn, VA, August 4-6, 2002,
pp. 403-407.
( ps-file
, pdf-file )
[19] H. Mathis, and M.
Joho,
Blind signal separation
in noisy environments using a three-step quantizer
Neurocomputing, Vol.
49, No. 1-4, 2002, pp. 61-78.
[20] M. Joho and P. Schniter,
On frequency-domain
implementations of filtered-gradient blind deconvolution algorithms'
36th Asilomar Conference on
Signals, Systems, and Computers, Pacific Grove, CA, USA, Nov. 3-6,
2002, Vol. II, pp. 1653-1658.
( ps-file , pdf-file
) Additional
Notes ( ps-file
, pdf-file )
[21] M.
Joho and P. Schniter,
Frequency-domain realization
of a multichannel blind deconvolution algorithm based on the natural
gradient'
International Conference on
Independent Component Analysis and Blind Signal Separation, ICA 2003,
Nara, Japan,
April 1-4, 2003, pp.
543-548.
( ps-file
, pdf-file )
[22]
M. Joho,
Blind Signal Separation of
Convolutive Mixtures: A Time-Domain Joint-Diagonalization Approach
International Conference on
Independent Component Analysis and Blind Signal Separation, ICA 2004,
Granada, Spain,
September 22-24, 2004, pp.
577-584.
( ps-file
, pdf-file )
[23]
M. Joho,
Convolutive blind signal
separation in acoustics by joint approximate diagonalization of
spatiotemporal correlation matrices
Proc. Asilomar Conference on
Signals, Systems, and Computers, Pacific Grove, CA, USA, November
9-12, 2004, Vol.1, pp. 983-988.
( ps-file
, pdf-file )
[24]
M. Joho,
Newton Method for Joint
Approximate Diagonalization of Positive Definite Hermitian Matrices
SIAM Journal on Matrix Analysis
and Applications, Special Issue on
Tensor Decompositions and Applications,
vol. 30, no. 3, pp. 1205 - 1218, 2008.
( ps-file (draft)
, pdf-file (draft) )