SVM

Face Detection, neural network

As mentioned before, the feature fusion is an efficient step in scene understanding. We proposed to combine between the outputs of CNN algorithm, where the final features can effectively represent the scene images

系统辨识中LMS，NLMS的比较,输入信号为高斯白噪声(compare LMS with NLMS in the system identification)

Fractal dimension using the box-counting method for 1D, 2D and 3D sets

两个模拟信号的分离与模拟，并通过图例说明问题(two signal to seperat)

channel estimation for ofdm using legendre polynomials

基于ASM的人脸识别程序，包括训练部分。由Ghassan Hamarneh编写(ASM-based face recognition procedures, including the training component. Prepared by Ghassan Hamarneh)

基于MATLAB的系统分析与设计：信号处理 楼顺天 等编(System analysis and design based on MATLAB: signal processing Lou Shuntian edited)

偏最小二乘法PLS的NIPALS算法Matlab程序及例子①(failed to translate)

利用matlab实现无约束优化，对不同的函数进行优化，并比较优化结果和运算速度(Matlab unconstrained optimization, optimize and compare different function optimization results and computational speed.)