Advanced Digital Signal Processing and Noise Reduction, 4/e (Hardcover)

Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system.

The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods.

• Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis

• Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems

• Examples and applications in signal and information extraction from noisy data

• Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models

Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities.

數位信號處理在現代通訊和資訊處理系統的發展中扮演著核心角色。信號處理的理論和應用涉及信號過程中模式和結構的識別、建模和利用。觀測信號通常會受到失真、不完整和噪音的影響，因此噪音降低、通道失真的消除和丟失樣本的替換是信號處理系統的重要部分。

《高級數位信號處理與降噪》第四版更新和擴展了上一版的章節，並新增了兩個關於MIMO系統、相關性和特徵分析以及獨立成分分析的章節。本書涵蓋了多個主題，包括Wiener濾波器、回聲消除、通道均衡、頻譜估計、檢測和去除突發和瞬態噪音、插值缺失數據段、語音增強以及移動通信環境中的噪音/干擾。本書提供了統計信號處理和降噪方法的一致且有結構的理論和應用介紹。

《高級數位信號處理與降噪》具有以下特點：
- 兩個關於MIMO系統、相關性和特徵分析以及獨立成分分析的新章節
- 全面介紹了通信和資訊處理系統中的高級數位信號處理和降噪方法
- 提供了從噪音數據中提取信號和資訊的示例和應用
- 全面但易於理解的信號處理理論介紹，包括概率模型、貝葉斯推斷、隱馬可夫模型、自適應濾波器和線性預測模型

《高級數位信號處理與降噪》對於碩士研究生、高年級本科生和數位信號處理、電信和統計數據分析領域的研究人員來說是一本寶貴的教材。同時，這本書也對於電信、音頻和信號處理行業的專業工程師以及移動和無線通信社區的網絡規劃者和實施者具有興趣。