Here is an up-to-date and detailed introduction to the fundamentals of processing signals by digital techniques and their applications to practical problems.
Coverage includes discrete-time signals and systems, z-transform, discrete Fourier transforms, flow graph and matrix representations of digital filters, digital filter design, the fast Fourier transform, discrete Hilbert transforms, discrete random signals, effects of finite register length, homomorphic signal processing, and power spectrum estimation.
Among the features: · Introduces concepts of two-dimensional signal processing. · Presents newly published material based on the authors' original research. · Includes thorough treatment of Tellegen's theorem, other digital network theorems, fast Fourier transform algorithms, and homomorphic processing. · Provides more than 200 carefully prepared illustrative problems-all closely integrated with the text.
Alan Victor Oppenheim is a professor of engineering at MIT's Department of Electrical Engineering and Computer Science. He is also a principal investigator in MIT's Research Laboratory of Electronics (RLE), at the Digital Signal Processing Group.
His research interests are in the general area of signal processing and its applications. He is co-author of the widely used textbooks Discrete-Time Signal Processing and Signals and Systems. He is also the editor of several advanced books on signal processing.