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Signal Computing Digital Signals in the Software Domain Michael Stiber

By: Contributor(s): Material type: TextTextSeries: Open textbook libraryDistributor: Minneapolis, MN Open Textbook LibraryPublisher: Bothell, Washington Michael Stiber, Eric Larson 2020Copyright date: ©2020Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): LOC classification:
  • QA76
Online resources:
Contents:
Preface -- Signals in the Physical World -- Signals in the Computer -- Filtering and Feedforward Filters -- The Z-Transform and Convolution -- Feedback Filters -- Spectral Analysis -- Compression -- Audio & Video Compression and Coding -- Review and Conclusions -- Answers to Self-Test Exercises -- Index
Subject: In this book, you will learn how digital signals are captured, represented, processed, communicated, and stored in computers. The specific topics we will cover include: physical properties of the source information (such as sound or images), devices for information capture (microphones, cameras), digitization, compression, digital signal representation (JPEG, MPEG), digital signal processing (DSP), signal analysis and feature extraction via re-representation as functions of frequency, and network communication. By the end of this book, you should understand the problems and solutions facing signal computing systems development in the areas of data structures and algorithms, data analytics, feature extraction, information retrieval, user interfaces, and communications.
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Preface -- Signals in the Physical World -- Signals in the Computer -- Filtering and Feedforward Filters -- The Z-Transform and Convolution -- Feedback Filters -- Spectral Analysis -- Compression -- Audio & Video Compression and Coding -- Review and Conclusions -- Answers to Self-Test Exercises -- Index

In this book, you will learn how digital signals are captured, represented, processed, communicated, and stored in computers. The specific topics we will cover include: physical properties of the source information (such as sound or images), devices for information capture (microphones, cameras), digitization, compression, digital signal representation (JPEG, MPEG), digital signal processing (DSP), signal analysis and feature extraction via re-representation as functions of frequency, and network communication. By the end of this book, you should understand the problems and solutions facing signal computing systems development in the areas of data structures and algorithms, data analytics, feature extraction, information retrieval, user interfaces, and communications.

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In English.

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