MATLABdianjisimulink

完成相关向量机的回归与分类的功能，采用经典例子(The relevance vector machine regression and classification)

surf feature extraction for target tracking applications

对信号在AR模型下进行的的yuler_walker,和burg算法谱估计(AR model of the signal under the yuler_walker, and spectral estimation algorithm burg)

说明：  动作的表面肌电信号进行频谱分析和功率谱估计，计算 肌电信号的时域和频域参数，根据结果分析讨论肌肉工作状态程序源码，在matlab软件测试成功(The spectrum analysis and power spectrum estimation of the surface electromyogram signal of the action are carried out, and the time domain and frequency domain parameters of the electromyogram signal are calculated. According to the results, the program source code of the muscle working state is discussed and tested successfully in MATLAB software.)

matlab的chm格式之帮助手册 短小精悍型的手册，可以在忘记命令的时候迅速查出命令(Matlab chm format- help manuals short and pithy manual forget in order to identify quickly when orders)

此程序为matlab的关于人工神经网络的一段代码，已经用于开发的软件中(This procedure matlab artificial neural network on a piece of code, has been used to develop the software)

瑞利信道下，2发2收，最大似然译码，空时编码，MATLAB仿真实现(Rayleigh channel, 2 admission, maximum likelihood decoding, space-time coding, MATLAB simulation)

西安交通大学版信号与系统第一次作业，求数学卷积和C++代码(For convolution and c++ code )

using the magic time-step in 1D FDTD grid, implement a total-field/scattered-field wave-source.

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))