self_adaptive_filter

用于进行prony模态识别，注意这里含有文件处理的过程，在时域中效果很好(prony estimation)

应用MATLAB对图像进行频率域的平滑和锐化处理的简单例子(Application of MATLAB in frequency domain image smoothing and sharpening the handle of a simple example)

这是用C语言编写的灰度直方图，在matlab软件下可以运行。不是用imhist直接调用。(It is written in C language histogram in matlab software can run. Not called directly by imhist.)

该源码用三种方法实现图像去噪，简单易懂实用(The source with the three methods of image denoising, easy to understand practical)

这是一个gold序列代码 本人是搞扩频码的对这方面比较有研究 (gold sequence)

基于PSO的多目标优化问题，两个目标函数，一个公共变量的问题(PSO )

通过对连续调频波进行数学建模进行发射波形与回波波形的仿真，从何获得目标的速度和距离(Through mathematical modeling of continuous FM wave, the simulation of waveform and echo waveform is carried out, and the speed and distance of the target are obtained.)

....瑞利平坦衰变信道.doc ....channel_model ....AS2sigma_gaussian_90.mat ....AS2sigma_gaussian_180.mat ....AS2sigma_laplacian_90.mat ....correlation.m ....dialog.m ....erfcomp.m ....geometry2correlation.m ....Rxx_gaussian.m ....Rxx_laplacian.m ....Rxy_gaussian.m (.... Rayleigh flat decay channel. Doc .... channel_model .... AS2sigma_gaussian_90.mat .... AS2sigma_gaussian_180.mat .... AS2sigma_laplacian_90.mat .... correlation.m .... dialog. m .... erfcomp.m .... geometry2correlation.m .... Rxx_gaussian.m .... Rxx_laplacian.m .... Rxy_gaussian.m)

频偏估计 oqpsk qpsk，仅供参考 (Applicable to QPSK OPSK frequency offset estimation, the measured very accurately)

毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了TNIErq算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 KWMnxOx， 3 测试 4， 输出结果。 (Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining TNIErq algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 KWMnxOx , 3 test 4, the output result. )