Welcome to the California State University, Los Angeles Blind Equalization Research Project (BERP) home page. This project is under the guidance and supervision of Dr. Martin S. Roden. The members of the project team include both undergraduates and graduate students from the School of Engineering and Technology at CSU Los Angeles.

Blind equalization is a method employed to recover with some certainty, noisy signals that undergoes distortions during transmission through an unknown characteristics of the channel. The major task for this project is to investigate the performance of communication systems using blind equalizers. The blind equalizer performance is usually measured by its convergence time (or performance of the Probability of error curve) when the signal to noise ratio (SNR) is low, and inter-symbol interference (ISI) is presently high. Our present approach uses baseband technique for the signal modulation and recovery, thus eliminating the carrier which would eventually be cancelled during demodulation.  Also the concept of an adaptive array receiver to deal with noise elimination along with an embedded Least Means Square (LMS) and Sato Algorithms for the reduction of ISI.  These concepts are readily simulated on Signal Processing Workstation (SPW).  Please check our Software Information page link or go to http://www.cadence.com/
for more detailed information about SPW.

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