Updated and expanded, the second edition of this bestselling text introduces the fundamentals of DSP. Along with discussing current DSP applications, this edition includes new chapters on analog systems models and pattern recognition using support vector machines as well as new sections on the chirp z-transform, resampling, waveform reconstruction, discrete sine transform, and logarithmic and nonuniform sampling. It also contains a more comprehensive table of transforms. Numerous exercises and examples harness the power of MATLAB^(R) and MATLAB functions and examples are available for download online.

� propos de l?auteur

Samuel D. Stearns is a professor emeritus at the University of New Mexico, where has been involved in adjunct teaching and research since 1960. An IEEE fellow, Dr. Stearns was also a distinguished member of the technical staff at Sandia National Laboratories for 27 years. His principal technical areas are DSP and adaptive signal processing.

Don R. Hush is a technical staff member at the Los Alamos National Laboratory. An IEEE senior member, Dr. Hush was previously a technical staff member at Sandia National Laboratories and a professor at the University of New Mexico. He was also an associate editor for IEEE Transactions on Neural Networks and IEEE Signal Processing Magazine.

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