Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing (Hardcover)

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines contributions from field experts to deliver a comprehensive account of the latest developments in signal processing. These experts detail the results of their research related to audio and speech enhancement, acoustic image estimation, video compression, biometric recognition, hyperspectral image analysis, tensor decomposition with applications in communications, adaptive sparse-interpolated filtering, signal processing for power line communications, bio-inspired signal processing, seismic data processing, arithmetic transforms for spectrum computation, particle filtering in cooperative networks, three-dimensional television, and more.

This book not only shows how signal processing theory is applied in current and emerging technologies, but also demonstrates how to tackle key problems such as how to enhance speech in the time domain, improve audio quality, and meet the desired electrical consumption target for controlling carbon emissions.

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing serves as a guide to the next generation of signal processing solutions for speech and video coding, hearing aid devices, big data processing, smartphones, smart digital communications, acoustic sensors, and beyond.

《信號與影像：語音、估計、壓縮、識別、過濾和處理的進展與結果》匯集了領域專家的貢獻，全面介紹了信號處理領域的最新發展。這些專家詳細介紹了他們在音頻和語音增強、聲學影像估計、視頻壓縮、生物識別識別、高光譜影像分析、通信應用中的張量分解、自適應稀疏插值過濾、電力線通信的信號處理、仿生信號處理、地震數據處理、頻譜計算的算術變換、合作網絡中的粒子濾波、三維電視等研究成果。

本書不僅展示了信號處理理論在當前和新興技術中的應用，還演示了如何解決關鍵問題，例如如何在時域中增強語音、改善音頻質量，以及實現控制碳排放的所需電力消耗目標。

《信號與影像：語音、估計、壓縮、識別、過濾和處理的進展與結果》是下一代語音和視頻編碼、助聽器設備、大數據處理、智能手機、智能數字通信、聲學感應器等信號處理解決方案的指南，更遠超出這些應用的範疇。