adpmedian

Matlab code for base band filter! working

单相逆变器的双环系统matlab仿真（阻性,感性性,容性负载）(Single-phase inverter bicyclic system matlab simulation (resistive, inductive, capacitive load))

SINGLE PHASE three 3PH motor

基于正则化转置的LDA matlab源代码，可以应用在人脸识别中，详细说明见readme(based Regularization home to the LDA Matlab source code, can be applied to face recognition, detailed explanation see readme)

本书提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院校研究生、本科生教学用书，也可作为广大科研工程技术人员的自学用书。(The book provides a practical guide to using MATLAB. MATLAB has become suitable for multi-disciplinary, a variety of work platform is a powerful, friendly interface, language, natural and open the strong outstanding applications, but also has become the domestic and foreign institutions of higher learning higher mathematics, numerical analysis, digital signal processing, automatic control theory and engineering application programs, basic teaching tool. Logical arrangement of the book from start to finish with an example description complete and relatively independent of each chapter is a simple MATLAB reference, both for beginners, but also for advanced MATLAB users. Language combined with a description of MATLAB and FORTRAN, C, is a major feature of the few in all of MATLAB books. The book is suitable as a science and engineering colleges and universities graduate, undergraduate teaching book, the book is also available as self-study of the majority of scientific engineering and te)

使用MATLAB仿真ISAR在飞机目标无抖动的情形(ISAR using MATLAB simulation, jitter-free in the case of aircraft targets)

基于回归理论分析的支持向量代码及m代码顶顶顶顶顶顶(Based on support vector regression analysis code and m code)

Another QPSK MODEM simulation

基于Matlab的三电平SVPWM逆变器的仿真实现(Three-level inverter SVPWM the Matlab simulation-based implementation)

稀疏建模工具箱，是一个为解决各种稀疏估计问题的开源优化工具箱，可实现字典学习与矩阵分解；使用LARS、快速下降法、OMP、SOMP等算法解决稀疏分解问题；使用Lasso解决结构化稀疏分解问题( Dictionary learning and matrix factorization Solving sparse decomposition problems with LARS, coordinate descent, OMP, SOMP, proximal methods Solving structured sparse decomposition problems )