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Multirate Signal Processing for Communication Systems by Fredric J. Harris (2004, Hardcover)

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Multirate Signal Processing for Communication Systems by Fred Harris Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less

About this product

Product Identifiers

PublisherPrentice Hall PTR

ISBN-100131465112

ISBN-139780131465114

eBay Product ID (ePID)30442835

Product Key Features

Number of Pages496 Pages

LanguageEnglish

Publication NameMultirate Signal Processing for Communication Systems

Publication Year2004

SubjectSignals & Signal Processing, Telecommunications

TypeTextbook

AuthorFredric J. Harris

Subject AreaTechnology & Engineering

FormatHardcover

Dimensions

Item Height1.4 in

Item Weight38.9 Oz

Item Length7.3 in

Item Width9.5 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2004-044419

Dewey Edition22

IllustratedYes

Dewey Decimal621.382/2

Table Of ContentPreface. Purpose of Book. Organization of Book. 1. Why Multirate Filters? Compact Disc 4-to-1 Oversample. Anti-alias Filtering. 2. The Resampling Process. The Sampling Sequence. What Is a Multirate Filter? Useful Perspectives for Multirate Filters. Nyquist and the Sampling Process. 3. Digital Filters. Filter Specifications. Windowing. The Remez Algorithm. 4. Useful Classes of Filters. Nyquist Filter and Square-root Nyquist Filter. The Communication Path. The Sampled Cosine Taper. Half-band Filters. 5. Systems That Use Resampling Filters. Filtering with Large Ratio of Sample Rate to Bandwidth. Workload of Multirate Filter. 6. Polyphase FIR Filters. Channelizer. Separating the Aliases. 7. Resampling Filters. Interpolators. Interpolator Architecture. Band-pass Interpolator. Rational Ratio Resampling. Arbitrary Resampling Ratio. Farrow Filter. 8. Half-band Filters. Half-band Low Pass Filters. Half-band High pass Filter. Window Design of Half-band Filter. Remez Algorithm Design of Half-band Filters. Hilbert Transform Band-pass Filter. Interpolating with Low Pass Half-band Filters. Dyadic Half-band Filters. 9. Polyphase Channelizers. Demodulator Channel Bank. Arbitrary Output Sample Rates. 10. Recursive Polyphase Filters. All-pass Recursive Filters. Two-path All-pass Recursive Filters. Comparison of Nonuniform and Equal-ripple Phase Two-path Filters. Pass band and Stop band Response in Half-band Filters. Transforming Half-band to Arbitrary Bandwidth. Multirate Considerations of Recursive Half-band Filters. Hilbert-transform Filter Variant of Two-path All-pass Filter. M-path Recursive All-pass Filters. Iterated Half-band Filters. 11. Cascade Integrator Comb Filters. A Multiply-free Filter. Binary Integers and Overflow. Multistage CIC. Hogenauer Filter. CIC Interpolator Example. Coherent and Incoherent Gain in CIC Integrators. 12. Cascade and Multiple Stage Filter Structures. Interpolated FIR (IFIR) Filters. Spectral Masking Filters Based of Half-band Filters. Spectral Masking Filters Based on Complementary Filters. Proportional Bandwidth Filter Banks. 13. Communication Systems Applications. Conventional Digital Down Converters. Aliasing Digital Down Converters. Timing Recovery in a Digital Demodulator. Modem Carrier Recovery. Digitally Controlled Sampled Data Delay. Recursive All-pass Filter Delay Lines. Sigma-delta Decimating Filter. FM Receiver and Demodulator. Index.

SynopsisThis 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., Provides communication engineers with the signal processing techniques needed to develop efficient algorithms for the design of various systems.

LC Classification NumberTK5103.7.H38 2004