GUI

比较DFT,小波分析，hht算法分析调频信号的异同(Comparison of DFT, wavelet analysis, hht similarities and differences between the FM Signal Algorithm Analysis)

本文主要介绍基于SIMULINK的SVPWM仿真，并且详细阐述了SVPWM 的算法。(This paper describes the SVPWM based on SIMULINK simulation, and detailed SVPWM algorithm.)

说明：  梯度下降法对数据进行分类，并取了四个数据点，对分类进行证明。对梯度下降法有详细的备注。(The gradient descent method classifies the data and takes four data points to prove the classification. There are detailed remarks on gradient descent method.)

说明：  一种空时贝叶斯压缩感知算法，用在认知无线电中，大大提高了检测概率(Perception of space-time compression of a Bayesian algorithm, used in the cognitive radio, greatly improving the detection probability)

说明：  viterbi 解码程序，用matlab编写。希望对大家有用。(viterbi decoding process, using matlab write. Hope to be useful.)

ofdm系统中QPSK和QAM调制解调不同调制方法误码率的比较(ofdm system QPSK and QAM modulation and demodulation error rate of different modulation methods comparison)

k-d树的matlab程序，包含了KDTREE, KDTREEIDX and KDRANGEQUERY functions。提供了两个Demo scripts(kdtree_demo.m & kdrange_demo.m),很实用( This distribution contains the KDTREE, KDTREEIDX and KDRANGEQUERY functions. Included are the source code files in kdtree/src, as well as precompiled mex files for the following systems: - Mac OS X (Matlab 6.5) - Redhat Linux (Matlab 6.5) - Windows (Matlab 6.1) Two demo scripts are provided (kdtree_demo.m & kdrange_demo.m). The new features added June 2004: + You can now use N dimensional data points, where N>3. + Use KDTREEIND to return the index value to the closest point, instead of the closest point values. + KDRANGEQUERY can now return these index values as well. Written by/send comments or suggestions to : Guy Shechter guy at jhu dot edu June 2004 )

这是在上一个MIMO基础上再次集成了OFDM，包含了迫零算法、ldpc译码，以及OFDM的调制解调(This is on the basis of a re-integration of MIMO OFDM, it contains zero forcing algorithm, ldpc decoding, and OFDM modulation and demodulation)

说明：  利用AR模型仿真瑞利衰落信道，可用为信道建模做参考(Program to simulate Rayleigh fading using a p-th order autoregressive model AR(p) )

matlab的学习教程与应用，及对比方案精选(matlab tutorial and application of learning, and selected comparison program)