Notes on Digital Signal Processing: Practical Recipes for Design, Analysis and Implementation (Hardcover)

Notes on Digital Signal Processing is a comprehensive, easy-to-use collection of step-by-step procedures for designing and implementing modern DSP solutions. Leading DSP expert and IEEE Signal Processing Magazine associate editor C. Britton Rorabaugh goes far beyond the basic procedures found in other books while providing the supporting explanations and mathematical materials needed for a deeper understanding.

Rorabaugh covers the full spectrum of challenges working engineers are likely to encounter and delves into crucial DSP nuances discussed nowhere else. Readers will find valuable, tested recipes for working with multiple sampling techniques; Fourier analysis and fast Fourier transforms; window functions; classical spectrum analysis; FIR and IIR filter design; analog prototype filters; z-transform analysis; multirate and statistical signal processing; bandpass and quadrature techniques; and much more.

Notes on Digital Signal Processing begins with mapping diagrams that illuminate the relationships between all topics covered in the book. Many recipes include examples demonstrating actual applications, and most sections rely on widely used MATLAB tools.

• DSP fundamentals: ideal, natural, and instantaneous sampling; delta functions; physical signal reconstruction; and more
• Fourier Analysis: Fourier series and transforms; discrete-time and discrete Fourier transforms; signal truncation; DFT leakage and resolution
• Fast Fourier transforms: decimation in time and frequency; prime factor algorithms; and fast convolution
• Window techniques: sinusoidal analysis; window characteristics and choices; Kaiser windows; and more
• Classical spectrum analysis: unmodified and modified periodograms; Bartlett’s and Welch’s periodograms; and periodogram performance
• FIR filters: design options; linear-phase FIR filters; periodicities; basic and Kaiser window methods; and the Parks-McClellan algorithm
• Analog prototype filters: Laplace transforms; characterization; and Butterworth, Chebyshev, elliptic, and Bessel filters
• z-Transform analysis: computation and transforms using partial fraction expansion
• IIR filters: design options; impulse invariance methods; and bilinear transformation
• Multirate signal processing: decimation and interpolation fundamentals; multistage and polyphase decimators and interpolation
• Bandpass and quadrature techniques: bandpass sampling; wedge diagrams; complex and analytic signals; and advanced signal generation techniques
• Statistical signal processing: parametric modeling of discrete-time signals; autoregressive signal models; fitting AR and All-Pole models; and more

《數位信號處理筆記》是一本全面且易於使用的步驟指南集，用於設計和實施現代數位信號處理解決方案。該書由領先的數位信號處理專家、《IEEE信號處理雜誌》副編輯C. Britton Rorabaugh撰寫，不僅提供其他書籍中所找不到的基本程序，還提供了支持性的解釋和數學材料，以深入理解數位信號處理。

Rorabaugh涵蓋了工程師在工作中可能遇到的所有挑戰，並深入探討了其他地方未討論的關鍵數位信號處理細節。讀者將找到有價值且經過驗證的配方，用於處理多種取樣技術；傅立葉分析和快速傅立葉變換；窗函數；經典頻譜分析；有限脈衝響應（FIR）和無限脈衝響應（IIR）濾波器設計；類比原型濾波器；z-變換分析；多速率和統計信號處理；帶通和正交技術等等。

《數位信號處理筆記》以揭示書中所有主題之間的關係的映射圖開始。許多配方包括演示實際應用的示例，大多數章節依賴於廣泛使用的MATLAB工具。

- 數位信號處理基礎：理想、自然和瞬時取樣；德爾塔函數；物理信號重建等等
- 傅立葉分析：傅立葉級數和變換；離散時間和離散傅立葉變換；信號截斷；DFT泄漏和解析度等等
- 快速傅立葉變換：時間和頻率的抽取；質數因子算法；快速卷積等等
- 窗函數技術：正弦波分析；窗函數特性和選擇；Kaiser窗等等
- 經典頻譜分析：未修改和修改的周期圖；Bartlett和Welch的周期圖；周期圖性能等等
- FIR濾波器：設計選項；線性相位FIR濾波器；周期性；基本和Kaiser窗方法；Parks-McClellan算法等等
- 類比原型濾波器：拉普拉斯變換；特性；Butterworth、Chebyshev、橢圓和Bessel濾波器等等
- z-變換分析：使用部分分式展開的計算和變換等等
- IIR濾波器：設計選項；脈衝不變方法；雙線性變換等等
- 多速率信號處理：抽取和插值基礎；多級和多相抽取器和插值器等等
- 帶通和正交技術：帶通取樣；楔形圖；複數和解析信號；高級信號生成技術等等
- 統計信號處理：離散時間信號的參數建模；自回歸信號模型；擬合AR和全極模型等等