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贝叶斯分类器的设计与实现，非常好的应用程序，能够在其上面实现人脸识别(Bayesian classifier design and implementation of a very good application, face recognition can be achieved in the above)

cha 011h is a multimedia developer tool . helps us to create simple softwares.

基于Matlab利用零记忆非线性变换法求瑞利雷达杂波(Rayleigh radar clutter based on Matlab and zero memory nonlinear transformation method)

分段平均法功率谱分析，不同数据重叠长度对结果的影响 (Sub-average power spectrum analysis, the results of different data length on the impact of overlapping)

meiyou wenjianshuoning (nonono nono nono nono n non non ono nonon o non on on onon)

光伏电池板仿真，里面包含三个文件，其中包括光照遮挡仿真(Photovoltaic panel simulation, which contains three files, including lighting occlusion simulation)

智能天线波束赋型的研究，使智能天线波束赋型角度更加准确。(Beamforming smart antenna research, so that smart antenna beamforming point of view more accurate.)

1.录制一段自己的语音信号,对录制的信号进行采样 画出采样后语音信号的时域波形和频谱图 给定滤波器的性能指标,采matlab设计数字滤波器,并画出滤波器的频率响应 然后用自己设计的滤波器对采集的信号进行滤波,画出滤波后信号的时域波形和频谱,并对滤波前后的信号进行对比,分析信号的变化 回放语音信号。2.(1. Recorded his voice for some signal, the signal is sampled on the record draw sampled speech signal time-domain waveform and frequency spectrum performance for a given filter, mining matlab digital filter design, and draw the filter frequency response then use their own filters designed to filter the collected signals, to draw the filtered time domain waveform and frequency spectrum, and comparing the signal before and after filtering, analysis of signal changes playback of audio signals. 2.)

由OUADDEMO、ZERODEMO和FPLOTDEMO等函数调用的一个函数 humps(x)是一个在x=0.3和x=0.9附近有尖锐极大值的函数 [X,Y]=HUMPS(x)在无输入时，HUMPS将使用x=0:0.5:1返回X(By the OUADDEMO, ZERODEMO and FPLOTDEMO other function calls a function humps (x) is an x ​ ​ = 0.3 and x = 0.9 the maximum value near the sharp function [X, Y] = HUMPS (x) in the absence of input , HUMPS uses X return x = 0:0.5:1)

说明：  基于MATLAB的GA-BP神经网络代码实现(Realization of GA-BP neural network code based on MATLAB)