Digital Signal Processing for Measurement Systems: Theory and Applications
暫譯: 測量系統的數位信號處理：理論與應用

Gabriele D'Antona, Alessandro Ferrero

Digital Signal Processing for Measurement Systems: Theory and Applications

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Description

Digital Signal Processing for Measurement Systems: Theory and Applications covers the theoretical as well as the practical issues which form the basis of the modern DSP-based instruments and measurement methods.  It covers the basics of DSP theory before discussing the critical aspects of DSP unique to measurement science.

Key Features:

Approaches signal processing through a unique measurement science perspective

Covers both theory and state-of-the-art applications, from the sampling theorem to the design of FIR/IIR filters

Includes important topics, for example, problems that arise when sampling periodic signals and the relationship between the sampling rate and the SNR

 

Table of contents

Contributors List.- Preface.- Digital Signal Processing.- Discrete-Time Signals and Systems.- Signal Transformation from the Continuous Time to the Discrete Time Domain.- Methods for the Reduction of the Leakage Errors.- Architecture and Performance of DSP-Based Instruments.- Anti-Aliasing Methods and Sampling Strategies.- Dynamical Discrete Systems.- Finite Impulse Response (FIR) Filters.- Infinite Impulse Response (FIR) Filters.- Index.

商品描述(中文翻譯)

**描述**
《數位信號處理於測量系統：理論與應用》涵蓋了現代基於DSP的儀器和測量方法所需的理論及實務問題。它在討論測量科學中獨特的DSP關鍵方面之前，首先介紹DSP理論的基礎。

**主要特點：**
- 從獨特的測量科學視角來探討信號處理
- 涵蓋理論和最先進的應用，從取樣定理到FIR/IIR濾波器的設計
- 包括重要主題，例如取樣週期信號時出現的問題，以及取樣率與信噪比（SNR）之間的關係

**目錄**
- 貢獻者名單
- 前言
- 數位信號處理
- 離散時間信號與系統
- 從連續時間到離散時間域的信號轉換
- 減少洩漏誤差的方法
- 基於DSP的儀器的架構與性能
- 抗混疊方法與取樣策略
- 動態離散系統
- 有限脈衝響應（FIR）濾波器
- 無限脈衝響應（IIR）濾波器
- 索引

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