This book provides the communications engineer involved in the physical layer of communications systems, the signal processing techniques and design tools needed to develop efficient algorithms for the design of various systems. These sytems inlcude satellite modems, cable modems, wire-line modems, cell-phones, various radios, multi-channel receivers, audio encoders, surveilance receivers, laboratory instruments, and various sonar and radar systems. The emphasis woven through the book material is that of intuitive understanding obtained by the liberal use of figures and examples. The book contains examples of all these types of systems. The book also will contain MATLAB script files that implement the examples as well as design tools for filters similar to the examples.
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Multirate Signal Processing for Communication Systems: Current Practice and Next Generation Techniques fredric j harris
Multirate signal processing can reduce costs and improve performance in applications ranging from laboratory instruments to cable modems, wireless systems, and consumer entertainment products. This book offers the first systematic, clear, and intuitive introduction to multirate signal processing for working engineers and system designers.
The author uses extensive examples and figures to illuminate a wide range of multirate techniques, from basic resampling to leading-edge cascade and multiple-stage filter structures. Along the way, he draws on extensive research and consulting experience to introduce processing itricksi shown to maximize performance and efficiency.
D igitalsignal processing (DSP) has become a core body of material in undergraduateelectrical engineering programs. Several threads branch from this core toenable related disciplines, such as communication systems, source coding,multimedia entertainment, radar, sonar, medical and laboratory instruments, andothers. Multirate signal processing isone of these major threads. Multirate signal processing is the body of materialthat deals with concepts, algorithms, and architectures that embed sample ratechanges at one or more sites in the signal flow path.
There are two reasons to include multirate signal processing in thesolution of a particular signal-processing task. The first is reduction in costof the implementation. The second is enhanced performance of theimplementation. We might also include a third, personal incentive, which is,that it is fun to apply clever concepts to solve problems. We can hardlycomplete a multirate DSP design without a smile and the accompanying thought,“Boy, this is neat!”
Traditional concepts developed in the DSP world are the same asthose developed in the analog-processing world. In both domains we learn anduse concepts such as convolution, Fourier transforms, transfer functions, polesand zeros, and others. When required to distinguish the two approaches we usethe qualifier “discrete” when discussing the DSP version of thesefundamental concepts. The reason the two approaches are so similar is that theyboth emphasize linear time invariant (LTI ) systems for which the toolsof analysis and synthesis are well developed.
Multirate signal processing brings to the designer an importanttool not available to the traditional DSP designer, who to the first orderapplies DSP techniques to emulate analog systems. We note that the interfacebetween the two versions of the world, continuous and discrete, is the samplingprocess. In the traditional DSP perspective, the sample rate is selected tosatisfy the Nyquist criterion but is otherwise incidental to the problem. Inmultirate signal processing, sele...
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