This book is based on several courses taught during the years 1985-1989 at the City College of the City University of New York and at Fudan Univer­ sity, Shanghai, China, in the summer of 1986.  Meer

Develops algorithms for processing multi-dimensional digital signals - particularly, algorithms for multi-dimensional Fourier transforms in a form that is convenient for writing efficient code on a variety of vector and parallel computers.  Meer

Convolution is the most important operation that describes the behavior of a linear time-invariant dynamical system. Deconvolution is the unraveling of convolution.  Meer

Radar, like most well developed areas, has its own vocabulary. Words like Doppler frequency, pulse compression, mismatched filter, carrier frequency, in-phase, and quadrature have specific meaning to the radar engineer.  Meer

This book is based on several courses taught during the years 1985-1989 at the City College of the City University of New York and at Fudan Univer­ sity, Shanghai, China, in the summer of 1986.  Meer

This book is dedicated to electrical and mechanical engineers involved with the design of magnetic devices for motion con­ trol and other instrumentation that uses magnetic principles and technology.  Meer

This book is intended as an introduction to array signal process­ ing, where the principal objectives are to make use of the available multiple sensor information in an efficient manner to detect and possi­ bly estimate the signals and their parameters present in the scene.  Meer

Fourier transforms of large multidimensional data sets arise in many fields --ranging from seismology to medical imaging. The rapidly increasing power of computer chips, the increased availability of vector and array processors, and the increasing size of the data sets to be analyzed make it both possible and necessary to analyze the data more than one dimension at a time.  Meer

Algorithms for computation are a central part of both digital signal pro­ cessing and decoders for error-control codes and the central algorithms of the two subjects share many similarities.  Meer

The theory of linear discrete time filtering started with a paper by Kol­ mogorov in 1941. He addressed the problem for stationary random se­ quences and introduced the idea of the innovations process, which is a useful tool for the more general problems considered here.  Meer

This book is intended to be a comprehensive reference to multiplicative com­ plexity theory as applied to digital signal processing computations. Although a few algorithms are included to illustrate the theory, I concentrated more on the develop­ ment of the theory itself.  Meer