Digital Spectral Analysis: Parametric, Non-parametric and Advanced Methods (Hardcover)

Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature.
The theoretical principles necessary for the understanding of spectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation in spectral analysis, and time-series models.
An entire chapter is devoted to the non-parametric methods most widely used in industry.
High resolution methods are detailed in a further four chapters: spectral analysis by stationary time series modeling, minimum variance, and subspace-based estimators.
Finally, advanced concepts are the core of the last four chapters: spectral analysis of non-stationary random signals, space time adaptive processing: irregularly sampled data processing, particle filtering and tracking of varying sinusoids.
Suitable for students, engineers working in industry, and academics at any level, this book provides a rare complete overview of the spectral analysis domain.

《數位頻譜分析》提供了一個全面涵蓋頻譜分析領域的單一資源。這本自成一體的著作包含了通常在文獻中分散呈現的高級主題的詳細資訊。

第一到第四章討論了理解頻譜分析所需的理論原則：基礎知識、數位信號處理、頻譜分析中的估計和時間序列模型。

整整一章專門介紹了工業界最廣泛使用的非參數方法。

高解析度方法在接下來的四章中詳細介紹：通過定常時間序列建模的頻譜分析、最小變異和子空間估計器。

最後，高級概念是最後四章的核心：非定常隨機信號的頻譜分析、時空自適應處理：不規則採樣數據處理、粒子濾波和追蹤變化的正弦波。

適合學生、工程師和學術界的任何級別，這本書提供了頻譜分析領域的罕見完整概述。