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  • Home / List of Universities / UC Berkeley / DSP /

    DSP

    Here you can find lists of great DSP books are or have been used to teach courses at UC Berkeley.





    Statistical Digital Signal Processing And Modeling

    By: HAYES MONSON H.

    2008

    Discrete Time Signal Processing PNIE

    By: Alan V. Oppenheim

    2013

    Digital Signal Processing

    By: John Proakis, Dimitris Manolakis

    2006

    Introduction to Spectral Analysis

    By: Petre Stoica, Randolph Moses

    1997

    Modern Spectral Estimation: Theory and Application

    By: Steven M. Kay

    1999

    Adaptive Filter Theory, 4/e

    By: HAYKIN

    2008

    Optimal and Adaptive Signal Processing

    By: Peter M. Clarkson

    1993

    Adaptive Signal Processing

    By: Bernard Widrow

    1985

    Wavelets and Subband Coding

    By: Martin Vetterli, Jelena Kovacevic

    1995

    Wavelets and Filter Banks

    By: Gilbert Strang, Truong Nguyen

    1996

    A Wavelet Tour of Signal Processing: The Sparse Way

    By: Stephane Mallat

    2008

    Digital Coding of Waveforms: Principles and Applications to Speech and Video

    By: N. S. Jayant, Peter Noll

    1984

    Vector Quantization and Signal Compression

    By: Allen Gersho, Robert M. Gray

    1991

    The Scientist & Engineer's Guide to Digital Signal Processing

    By: Steven W. Smith

    1997

    Signals and Systems

    By: Alan Oppenheim, Alan Willsky, S. Nawab

    1996

    Foundations of Signal Processing

    By: Martin Vetterli, Jelena Kovacevic, Vivek K. Goyal

    2014

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