EEMD

基于matlab的语音处理程序,可实现经过各种滤波器后的频谱图,幅度图等.(Matlab-based voice processing procedures, can be realized through a variety of filters after the frequency spectrum, range maps.)

基于Hessian能量的半监督回归，并将其应用于半监督维数约简。(This is code for the semi-supervised regression using Hessian energy. Kwang In Kim, Florian Steinke and Matthias Hein, "Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction" NIPS 2009)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.

大学物理实验中电子电荷测量的源代码，在excel表格中输入平衡电压以及运动时间，运行后可以直接生成实验结果。(Measurement of the electron charge in college physics experiment source code in excel form input balance voltage, and exercise time, experimental results can be generated directly in the running.)

Packet reservation multiple access with poisson traffic generation,throughput figure result.

利用GMM算法实现语音信号的高斯混合模型的建立(Gaussian mixture model GMM algorithm of speech signals)

This is uniform quantization coded in matlab

Hardware Intrupts Based on LPC 1768

fastica用于信号处理系统的源码，希望大家多分析多学习(FastICA for signal processing systems source code, I hope everyone more and more analysis of learning)

使用BP神经网络训练数据并且作出预测，比较预测值与真实值的误差。(The use of BP neural network training data and make predictions, comparing predicted and actual values of error.)