A Self-Study Guide for Digital Signal Processing

A Self-Study Guide for Digital Signal Processing pdf epub mobi txt 电子书 下载 2026

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出版者:Prentice Hall
作者:John G. Proakis
出品人:
页数:224
译者:
出版时间:2003-8-1
价格:USD 33.00
装帧:Paperback
isbn号码:9780131432390
丛书系列:
图书标签:
  • 数字信号处理
  • 信号处理
  • 自学教程
  • 通信工程
  • 电子工程
  • MATLAB
  • 算法
  • 滤波器
  • 傅里叶变换
  • DSP
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具体描述

这本图书《A Self-Study Guide for Digital Signal Processing》旨在为读者提供全面而深入的学习路径,以帮助他们理解和掌握数字信号处理的核心概念与应用技术。内容以系统化的方式组织,涵盖从基础理论到高级实践的多层次知识点,适合初学者和有一定背景的进阶学习者。书中首先详细介绍了数学基础、离散时间信号和连续时间信号之间的转换方法,为读者打下坚实的理论基础。通过对傅里叶变换、拉普拉斯变换以及时域与频域分析的深入解释,帮助学习者明确这些重要概念在实际工程问题中的应用意义。 本书不仅讲授了数字滤波器设计的各种方法,如均值滤波、移动平均滤波及卡尔曼滤波等,还详细介绍了不同类型滤波器的实现原理与适用场景,强调如何根据具体应用需求进行优化。同时,书中还涵盖数字信号处理中的相关算法,包括快速傅里叶变换(FFT)、小波变换等,并提供实际计算步骤和示例,帮助读者掌握这些工具在数据压缩、图像处理以及语音识别等领域的具体应用。 此外,内容广泛涉及信号采集与处理流程,从传感器系统到模拟-数字转换,详细描述了各个环节的重要性和关键技术点。这不仅帮助读者理解整个数字信号处理链条,还为后续实验操作提供了完整的指导。书中还注重理论与实践的结合,包含大量问题与案例分析,引导读者通过自主学习巩固知识,提升解决实际问题的能力。 在技术深度方面,本书对复杂信号处理方法进行了系统阐述,如多元信号分析、非线性滤波以及高级数据压缩算法等,不仅介绍理论框架,还结合案例展示这些方法在不同领域中的实际效果和优势。读者通过深入理解这些内容,能够更灵活地应用数字信号处理技术解决复杂的工程问题。 总体而言,这本书不仅是一本教学工具,更是一种系统性学习指南,旨在提升读者对数字信号处理领域的全面认知和操作能力,为从事相关研究或实际开发的人士提供有力支持。通过详尽的内容设计与严谨的逻辑安排,该书将为学习者打开探索数字信号处理新天地的大门。

作者简介

The Study Guide is intended for use as a companion for self-study to the textbook entitled Digital Signal Processing, Principles, Algorithms, and Applications, Third Edition, published by Prentice Hall. MATLAB is incorporated as the basic software tool for this self-study guide. The Study Guide, along with the textbook, can be used by students, practicing engineers, and scientists who wish to obtain an introduction to the subject. It can also be used by people who have had a basic undergraduate course in DSP but who have not been exposed to DSP software tools, such as MATLAB, for analyzing and implementing DSP systems and algorithms.

For effective learning of the material and for understanding difficult concepts in DSP, it is important to integrate software tools with textual study. This integration makes it possible for students to simulate signals, systems (or filters), or algorithms and provides for "what-if" type of analyses to delve more deeply into the topics. This Study Guide, designed with this approach in mind, uses MATLAB as the tool. In addition to learning each topic, concept, or algorithm, the student should make every effort to use the provided MATLAB functions to develop a stronger intuition and a deeper understanding of the material.

The Study Guide treats traditional topics covered in an introductory DSP course. In each chapter of the Study Guide, the reader is directed to review the topics covered in the corresponding chapter of the textbook. The basic topics and results treated in each chapter of the textbook are summarized in the Study Guide, and the relevant MATLAB functions to be used in solving problems are introduced. At the end of each chapter of the Study Guide is a set of problems that the reader should solve, using MATLAB. Solutions to these problems are included in the Study Guide.

The DSP textbook also contains numerous problems at the end of each chapter. Many of these problems can also be solved by using MATLAB. If additional practice is desirable, the reader is encouraged to solve some of these problems in MATLAB.

The various MATLAB functions cited in the Study Guide are available at the location

ftp://ftp.cdsp.neu.edu/pub/ingle/I&P_dsp_toolbox

These functions require MATLAB version 5 or higher and the signal toolbox version 3 or higher. Further information about MATLAB and the related toolbox can be obtained from the MathWorks, Inc.

A self contained, more in-depth treatment of the use of MATLAB in the analysis and design of digital-signal processing systems and algorithms is given in the book Digital Signal Processing using MATLAB, written by Vinay K. Ingle and John G. Proakis, and published by Brooks Cole, Thomson Learning.

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