压缩感知中的稀疏度自适应算法

说明：  该函数利用高斯频谱产生一维的高斯随机起伏地表。(RSGENG generates 1D Gaussian random rough surfaces with Gaussian Spectrum.)

lms滤波器的matlab源代码，可以实现变步长仿真效果！(LMS filter Matlab source code, change can be achieved step simulation results!)

永磁电机矢量控制matlab仿真，适合电驱动研究者(Matlab simulation of permanent magnet motor vector control for electrically driven researcher)

说明：  实现协作频谱感知，采用压缩感知方法，并对不同虚警率下的正确判决概率进行对比仿真。(To achieve cooperative spectrum sensing, compressed sensing method is adopted, and the correct decision probability under different false alarm rates is compared and simulated.)

【实例简介】

rbf神经网络源代码，基于MATLAB编程(rbf neural network, based on MATLAB programming)

load training.txt load TrainOut.txt load validation.txt load ValOut.txt load testing.txt load TestOut.txt INPUT=[training validation testing] OUTPUT=[TrainOut ValOut TestOut] net=newff(INPUT,OUTPUT,200,{ tansig , purelin }, trainlm )

四节点杆单元集成，及力，应力，刚度矩阵，使用MATLAB编制，此为m文件-QuadraticBarElement assemble force,stiff,stress

MFCC参数和LPCC参数需要频繁使用的语音的说话人识别分析还需要使用大量的这些特征参数,这就需要研究MFCC和LPCC算法和参数提取的原则。因为我们需要了解与人交谈的过程中,我们要进行建模 率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(MFCC parameters and LPCC parameters are parameters of speaker recognition which requires frequent use of voice analysis also need to use a lot of these characteristic parameters, This requires research MFCC and LPCC algorithm and the principle of parameter extraction. Because we need to understand the process of talking to people, we want to conduct a speaker modeling the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula)

RBF源代码 我调试过的 用S函数编写的 在simulink里 一切都弄好的 希望对大家有帮助(the code of RBF)