eigenvaluefield33

Jon Bentley的《编程珠玑》 本书针对程序设计人员探讨了一系列的实际问题，这些问题是对现实中常见问题的归纳总结。作者虽然没有给出解决这些问题的具体代码，但始终非常富有洞察力和创造力地围绕着这些折磨程序员的实际问题展开讨论，从而引导读者理解问题并学会解决问题的技能，这些都是程序员实际编程生涯中的基本技能。为此，本书给出了一些精心设计的有趣而且颇具指导意义的程序，这些程序能够为那些复杂的编程问题提供清晰而且完备的解决思路，书中还充满了对实用程序设计技巧及基本设计原则的清晰而睿智的描述。 ()

说明：  MUSIC方法是Schmidt 在 1979 年首先提出的,并于1986 年重新发表。该方法和 Roy 于1986 年提出的 Esprit方法都是早期经典的超分辨率 DOA 估计方法 即超瑞利限的方法 ,他们同属特征结构的子空间方法。(MUSIC method is Schmidt first proposed in 1979, and re-released in 1986. The method and Roy in 1986, Esprit proposed methods are early classic super-resolution DOA estimation method that is super-Rayleigh limit of the method, they belong to the same characteristic structure of the subspace method.)

PCA Based implementation souce code

矢量网络分析仪的驱动程序，可以用matlab调用(Vector network analyzer driver, you can use matlab call)

万哲先的经典版本《代数和编码》，对于编码方面学习具有重要意义。(Zhe-Xian Wan classic version algebra and coding, for the coding to learn of great significance.)

algorithms of adaptiveness

介绍时频分析的基本理论和在工程中的应用方法，介绍了MATLAB时频分析工具箱的用法。(Introducing the basic theory and application of frequency analysis methods in engineering, describes the time-frequency analysis MATLAB toolbox usage.)

astonishing anatomy from an document file

2010年最新原版英文专著Matlab codes for finite element analysis一书源码。这本书介绍了基于Matlab的实体和结构有限元分析方法，深入浅出，十分经典。(English version 2010, the latest monograph on Matlab codes for finite element analysis of a source book. This book describes the physical and Matlab-based finite element method, easy to understand, very classic.)

基于bregman算法在一维、二维、三维信号处理中的应用matlab工具箱(This toolbox provides the source code associated with the Bregman Cookbook Doc: - BregmanCookbook.pdf In 1D: -L1_SplitBregmanIteration.m : performs the recovery of a sparse signal affected by a known linear operator In 2D: -AddCurveletArray.m : sum the curvelet coefficients of two decomposition structures -AddFrameletArray.m : sum the framelet coefficients of two decomposition structures -ATV_NB_Deconvolution.m : performs the Nonblind Anisotropic Total Variation Deconvolution -ATV_ROF.m : performs the Anisotropic Total Variation Denoising -ITV_ROF.m : performs the Isotropic Total Variation Denoising -Curvelet_NB_Deconvolution.m : performs the Nonblind Deconvolution based on Curvelet sparsity -Framelet_NB_Deconvolution.m : performs the Nonblind Deconvolution based on Framelet sparsity (Analysis approach) -Framelet_NB_Deconvolution2.m : performs the Nonblind Deconvolution based on Framelet sparsity (Synthesis approach) -ShrinkCurvelet.m : performs the shrinkage of cu)