bemd

自适应均衡器设计用于抑制信号失真，自适应均衡器节拍系数是时变调整的。(Adaptive equalizers remove signal distortion attributed to intersymbol interference in band-limited channels. The tap coefficients of adaptive equalizers are time-varying and can be adapted using several methods. When these do not include the transmission of a training sequence, it is referred to as blind equalization.)

matlab实现对单声道立体声信号的fir低通滤波器，使用窗函数方法。并将信号写入.dat文件供硬件仿真使用。(fir low-pass filter use window function method，use matlab)

一个结构数组图像可视化的程序，可以用树结构表示结构数组中的各域名下的数组(a structure array image visualization process, the tree structure can be said that the structure of the array of arrays under the domain name)

Here s a sample kernel module showing the use of return probes to report the return value and total time taken for probed function to run.

支持向量机在分类和回归中的应用（MATLAB）(Application for svm in classification and regression)

a graphical spider implementation in matlab

利用ＤＣＴ变换给图像插入水印信息，配有详细步骤说明( Use of DCT insert watermark to the image, with a detailed description of the steps)

在matlab上实现的卡尔曼滤波器仿真实验，代码全部注释过了，有利于学习卡尔曼滤波器的参考学习(Implemented in the Kalman filter matlab simulation code all over the comment, the Kalman filter is conducive to learning refer to learning)

最经典AdaBoost实现，适合初学，有大量详细的注释，容易理解(This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" 。)

采用卡尔曼滤波的阻尼系数的非线性估计：用于较小但未知阻尼系数，增强阻尼因子的可测性(This implementation uses lower (but unknown)damping to improve damping observability.)