MARKOV

说明：  matlab编写用于图像处理的程序，希望对大家有用。(matlab image processing to prepare for the procedure, I hope useful for all of us.)

对于不同的检测距离，雷达对应脉冲宽度相对所要求的信噪比SNR曲线。(The different detection distances corresponding to the pulse width of the radar relative to the SNR required for the curve.)

这个matlab源程序 系统详细的描述了 滤波器模型的计算方法(The matlab source system, a detailed description of the calculation method filter model)

说明：  bp神经网络的相关MATLAB实现，源码被保存在txt文件中，需要自行粘贴即可(Related MATLAB bp neural network implementations, source code is stored in the txt file, you need to stick to their own)

The Prediction Algorithm Based on Fuzzy logic(clustering approach)

数字信号处理基于matlab 文件内容 /conv(卷积部分) dupconv 重叠保留法 freqcirconv 频域圆周卷积 freqconv 频域卷积 timecirconv 时域圆周卷积 timeconv 时域卷积 /fft(频域分析部分) d2fft 基2FFT dft DFT最简化程序 dtft DTFT演示 /fir(fir滤波器设计) fir 得到fir滤波器hn getwindow 得到fir滤波器窗函数wn idealfilter 理想滤波器(低通,高通,带通)hdn idealhd 理想低通滤波器 /fir gui(fir滤波器GUI设计) gui_top 总图 gui_fir fir滤波器GUI gui_sigout 选择信号GUI /power caculate(功率谱分析) directpower 直接谱分析 indirectpower 间接谱分析(估计谱分析) noise 噪声谱分析 /sigout(常见信号产生) sigout 离散信号产生(Digital signal processing matlab based on the content of the document/conv (convolution part) dupconv law of reservations freqcirconv overlapping frequency domain circular convolution freqconv frequency domain convolution timecirconv time-domain circular convolution timeconv time-domain convolution/fft (frequency domain analysis part) d2fft base 2FFT dft DFT the most simplified procedure dtft DTFT demo/fir (fir filter design) fir be fir filter hn getwindow be fir filter window function wn idealfilter ideal filter (low pass, high pass, band-pass) hdn idealhd ideal low-pass Filter/fir gui (fir filter GUI design) gui_top general layout gui_fir fir filter selection GUI gui_sigout signal GUI/power caculate (power spectrum analysis) directpower direct spectral analysis indirectpower indirect spectral analysis (spectral analysis estimated) noise noise spectrum analysis/sigout (common signals) sigout discrete signals)

说明：  汉明窗译码功能，采用matlab开发平台实现汉明窗译码功能，简明操作简单(Decoding Hamming window function, the development platform used matlab hamming window decoding functions, concise easy to operate)

face recogintion system using PCA algorithm that recognize faces using features of human faces

可以实现MIMO系统在锐利满衰落和高四百噪声信道下的几种天线结构的容量。(MIMO system can be achieved over a sharp decline and high noise channel 400 under the capacity of several antenna structure.)

Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement Usage ------- [logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])