【摘要】：壓縮感知技術在許多領域都有廣闊的應用前景。壓縮感知關鍵技術主要包括稀疏矩陣的選取,觀測矩陣的構造以及重構算法的設計。語音信號不同于一般信號,通常在觀測矩陣和重構算法中有特殊的結構特征。在實際的應用中,噪聲難以避免,而壓縮感知系統(tǒng)中,重構系統(tǒng)是非線性的,且對噪聲敏感,因而研究具有抗噪能力的魯棒性壓縮感知系統(tǒng)具有重要意義,也是壓縮感知技術能否真正實用的關鍵之一。本文首先介紹了壓縮感知的基本概念,然后分析各種噪聲對壓縮感知帶來的影響,側重從語音信號的觀測矩陣和重構技術入手,介紹具有魯棒性的壓縮感知投影算子和重構算法,最后對未來可能的研究方向進行了展望。
[Abstract]:Compression sensing technology has a broad application prospect in many fields. The key techniques of compression sensing include the selection of sparse matrix, the construction of observation matrix and the design of reconstruction algorithm. Speech signals are different from general signals and usually have special structural characteristics in observation matrix and reconstruction algorithm. It is difficult to avoid noise in practical applications, but in compression sensing systems, the reconstruction system is nonlinear and sensitive to noise, so it is important to study robust compression sensing systems with anti-noise capability. It is also one of the keys to the real practicability of compression sensing technology. This paper first introduces the basic concept of compression perception, then analyzes the influence of various noises on compression perception, focusing on the speech signal observation matrix and reconstruction technology. The compaction perceptual projection operator and reconstruction algorithm with robustness are introduced. Finally, the possible research directions in the future are prospected.
【作者單位】： 南京郵電大學寬帶無線通信與傳感網(wǎng)技術教育部重點實驗室;
【基金】：國家自然科學基金(61671252,61271335)資助項目 南京郵電大學�？蒲谢�(NY214191)資助項目
【分類號】：TN912.3

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本文編號：2347149