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PCA人脸识别 的源代码 在matlaB 里面实现的(PCA MatlAB FaceRec.m eigface Reconstruct.m calc xmean,sigma and its eigen decomposition)

发生在时变系统中所展示的频谱扩展。待仿真系统是一个简单系统，其中系统的代桶输入是一个形为x(t)=cos[2π(f0+f1)t]的“音频”。(Occurred in the time-varying system in spread spectrum display. Subject to the simulation system is a simple system in which the generation of the system input is a bucket-shaped to x (t) = cos [2π (f0+f1) t] of the " audio." )

fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s with parameter: s format:result = fit_rayleigh_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. hAx - handle of an axis, on which the fitted distribution is plotted output: result - structure with the fields s - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution

实现希尔伯特-黄变换的功能，并带有一段测试数据。希尔伯特-黄变换是使用EMD分解将信号分解为本征模态函数（IMF），然后求得IMF分量的瞬时频率。其对于非稳态和非线性信号具有优良的效果。(The function plot_hht is a realization of the Hilbert-Huang transform (HHT). The HHT decomposes a signal into intrinsic mode functions (or IMFs), and obtain the instantaneous frequency data. It is designed to work well for data that are nonstationary and nonlinear.)

进行逐步线性回归，阐述了负荷预测的应用研究,通过虚拟阵元进行DOA估计，最小均方误差（MMSE）的算法，添加噪声处理，相控阵天线的方向图（切比雪夫加权），直线阵采用切比学夫加权控制主旁瓣比。( Stepwise linear regression, It describes the application of load forecasting, Conducted through virtual array DOA estimation, Minimum mean square error (MMSE) algorithm, Add noise processing, Phased array antenna pattern (Chebyshev weights), Linear array using cut than learning laid upon the right control of the main sidelobe ratio.)

MATLAB统计功能的简单介绍，并且与splus的对应功能做了比较(Brief introduction to MATLAB statistical functions, and with splus features were compared with the corresponding)

Gepp algorithm. Developed By dr Kucinski from Warsaw Univeristy of technology.

利用窗口设计法选择GAUSSWIN设计一个FIR滤波器，对一段含噪语音信号进行滤波去噪处理并根据滤波前后的波形和频谱分析滤波性能。(audio denoising)

The matlab source code for the paper "A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration".

简单的LEACH算法，适合新手学习，本人毕设用到的分簇路由算法(LEACH,Low Energy Adaptive Clustering Hierarchy)