《压缩感知理论与应用》读书札记目录一、内容概括................................................31.1书籍简介.............................................31.2研究背景与意义.......................................5二、压缩感知基本理论........................................62.1压缩感知的定义.......................................72.2压缩感知的分类.......................................82.3压缩感知的理论基础...................................92.3.1信号稀疏表示理论................................112.3.2信号变换理论....................................112.4压缩感知的关键技术..................................122.4.1信号去噪算法....................................132.4.2信号重构算法....................................152.4.3信号压缩算法....................................16三、压缩感知在图像处理中的应用.............................183.1图像压缩............................................193.1.1无损压缩........................................203.1.2有损压缩........................................223.2图像去噪............................................233.2.1基于稀疏表示的去噪方法..........................243.2.2基于贝叶斯估计的去噪方法........................253.3图像识别............................................273.3.1特征提取........................................283.3.2分类与识别......................................29四、压缩感知在音频处理中的应用.............................314.1音频压缩............................................324.1.1无损压缩........................................334.1.2有损压缩........................................354.2音频去噪............................................364.2.1基于稀疏表示的去噪方法..........................374.2.2基于深度学习的去噪方法..........................394.3音频编码............................................40五、压缩感知在其他领域的应用...............................415.1通信领域............................................425.2生物信息学领域......................................435.3计算机视觉领域......................................445.4机器学习领域........................................45六、结论与展望.............................................466.1主要成果总结........................................476.2研究展望..........................................