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Digital Filters

by R. W. Hamming

An introduction to digital filtering

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AlbakiReads Editorial

An introduction to digital filtering

R. W. Hamming’s revised text approaches digital filtering through the operations used to shape and analyze signals: smoothing, prediction, differentiation, integration, separation, and noise removal. It emphasizes linear signal processing and its computer applications, with round-off effects and a brief discussion of Kalman filters among the exceptions. The mathematical groundwork assumes calculus and some statistics, which the text reviews. This edition adds material on the z-transform, along with examples and exercises that reinforce the chapter topics.

Good fit for readers who enjoy

  • Readers seeking an introductory text on digital filtering and signal processing.
  • People working with computer applications involving digital signals.
  • Readers with calculus knowledge who want a treatment that reviews some statistics.

Themes

Digital filteringLinear signal processingNoise removalComputer applicationsZ-transform

Based on publisher information and book metadata.

Book overview

Digital signals occur in an increasing number of applications: in telephone communications; in radio, television, and stereo sound systems; and in spacecraft transmissions, to name just a few. This introductory text examines digital filtering, the processes of smoothing, predicting, differentiating, integrating, and separating signals, as well as the removal of noise from a signal. The processes bear particular relevance to computer applications, one of the focuses of this book.
Readers will find Hamming's analysis accessible and engaging, in recognition of the fact that many people with the strongest need for an understanding of digital filtering do not have a strong background in mathematics or electrical engineering. Thus, this book assumes only a knowledge of calculus and a smattering of statistics (reviewed in the text). Adopting the simplest, most direct mathematical tools, the author concentrates on linear signal processing; the main exceptions are the examination of round-off effects and a brief mention of Kalman filters.
This updated edition includes more material on the z-transform as well as additional examples and exercises for further reinforcement of each chapter's content. The result is an accessible, highly useful resource for the broad range of people working in the field of digital signal processing.

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