Digital Signal Processing 101, Second Edition: Everything You Need to Know to Get Started
暫譯: 數位信號處理 101, 第二版:入門所需的所有知識

Michael Parker

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商品描述

Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples with minimum mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems.

This book has been updated to include the latest developments in Digital Signal Processing, and has eight new chapters on:

  • Automotive Radar Signal Processing
  • Space-Time Adaptive Processing Radar
  • Field Orientated Motor Control
  • Matrix Inversion algorithms
  • GPUs for computing
  • Machine Learning
  • Entropy and Predictive Coding
  • Video compression
  • Features eight new chapters on Automotive Radar Signal Processing, Space-Time Adaptive Processing Radar, Field Orientated Motor Control, Matrix Inversion algorithms, GPUs for computing, Machine Learning, Entropy and Predictive Coding, and Video compression
  • Provides clear examples and a non-mathematical approach to get you up to speed quickly
  • Includes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems

商品描述(中文翻譯)

《數位信號處理 101:您需要知道的一切以開始》提供了數位信號處理(DSP)的基本教程。從數字表示法和複數及指數的討論開始,接著解釋了如取樣、混疊、虛數和頻率響應等困難概念。它使用易於理解的例子,並且數學運算最小化。此外,還概述了在多個以DSP為重的領域或應用中使用的DSP功能和實現,從錯誤修正到CDMA行動通信,再到空中雷達系統。

本書已更新以包含數位信號處理的最新發展,並新增了八個章節,內容包括:

- 汽車雷達信號處理
- 時空自適應處理雷達
- 田向電動機控制
- 矩陣反演演算法
- 用於計算的GPU
- 機器學習
- 熵與預測編碼
- 視頻壓縮

- 特別新增八個章節,內容涵蓋汽車雷達信號處理、時空自適應處理雷達、田向電動機控制、矩陣反演演算法、用於計算的GPU、機器學習、熵與預測編碼,以及視頻壓縮
- 提供清晰的例子和非數學的方法,讓您快速上手
- 包含在典型的DSP密集型應用中使用的DSP功能和實現的概述,包括錯誤修正、CDMA行動通信和雷達系統