MATLAB-download

程序应用扩展卡尔曼滤波，实现单站定位算法。(Procedures for the application of extended Kalman filter to achieve single-station location algorithm.)

针对一个混和正弦波信号，设计FIR滤波器，给出了三种设计方法：凯塞窗函数设计带通滤波器法、FDATool设计法实现凯塞窗函数滤波器的低通、带通和高通三种滤波效果以及椭圆低通滤波器的设计法。利用matlab软件实现。(Sine wave for a mixed signal design FIR filter, gives the three design methods: Kaiser window function design band-pass filter method, the FDATool Design Kaiser window function low-pass filter, band-pass and high passthree filter effects, and elliptic low-pass filter design method. Using matlab software.)

基于语音信号的压缩感知重构程序 采用OMP算法对语音进行重构 包含语音的分帧程序，及omp程序，程序可正常运行。(Sensing Reconstruction program is based compressed speech signals Using OMP algorithm to reconstruct speech Framing program includes speech, and omp, programs can be run properly.)

小波分析的盲信号处理方法，有完成的程序，波形，及输出结果，适合初学者。(Wavelet analysis of blind signal processing method, and a complete program, waveform, and output, suitable for beginners.)

CMA 盲均衡算法代码 采用QAM调制信号(CMA，blind equalizer with QAM)

说明：  最小二乘支持向量机（来自于互联网，本人测试过，好使）(Least squares support vector machine (from the Internet, I tested, so that))

卡尔曼滤波的基础上简要介绍了和处理代码。过程通过随机噪音过滤掉，以获取原始信号。(Kalman filter based on a brief introduction and processing code. Process through the filter out random noise to obtain the original signal.)

说明：  matlab编写的相同要求时提某列取大小值。(Matlab prepared by the same requirements when a series from a size value.)

接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法可参考算法说明文档。这里对程序的流程进行说明。 首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。 (The receiving end uses the algorithm and the program flow and the frame structure of the OFDM symbol transmitted by the sending end. Specific frame structure, and timing estimation, frequency offset estimation, residual error tracking algorithm can refer to the documentation. Here to illustrate the process of the program. First, according to the characteristics of the short training word correlation operation, the signal reaches the detection, when the correlation value is greater than the threshold of a certain number of times, that there is a signal to reach. Then, according to the characteristics of the long training word, the correlation operation is carried out, and the initial position of the OFDM symbol FFT is estimated. The estimated position of the FFT window, first in the time domain for small frequency offset estimation, two long training word for small frequency offset compensation, the FFT operation. According to the result of FFT for integer frequency bias estimation. Af)

matlab - image processing - histogram equalization(matlab- image processing- histogram equalization)