caft230rp

matlab voice recording

阵列信号处理中波束形成技术的apes算法matlab程序(The matlab code for apes algorthim of beamforming technique of array signal processing)

l1-magic的matlab代码，l1-magic: Recovery of Sparse Signals via Convex Programming(l1-magic of matlab code, l1-magic: Recovery of Sparse Signalsvia Convex Programming)

creat channel, input, noise for ISI channel

Corrigé d une epreuve de l electrotechnique

matlab实现FIR和IIR滤波器的设计，并作图显示(matlab FIR and IIR filter design and mapping display)

MATLAB优化工具箱学习资料，使用方法，线性规划，二次规划(MATLAB optimization toolbox learning materials, the use of linear programming, quadratic programming)

ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，语音信号的采集与处理，数字信号处理课设，对信号进行频谱分析及滤波。( ofdm system simulation including 16qam modulation fft windowing modules plus cp, Acquisition and Processing of the speech signal, digital signal processing class-based, The signal spectral analysis and filtering.)

一个计算声子晶体结构的一维传递矩阵法,在MATLAB中求图像纹理特征，Relief计算分类权重。( A one-dimensional transfer matrix method to calculate the phonon crystal structure, In the MATLAB image texture feature, Relief computing classification weight.)

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )