ICA

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

Digital Signal Processing Charles Darwin University Lab4

《系统辨识理论及Matlab仿真》MATLAB程序( System identification theory and Matlab simulation MATLAB program)

chirp信号matlab源代码程序，及信号的时域和频域压缩代码(time domain and frequency domain chirp signal matlab source code program, and signal compression code)

堆场外部集卡与集装箱的操作计算时间即等待时间(container matlab)

基于SVM的人脸检测。优化了部分代码。可以参考一下，各位亲们。(SVM-based face detection. Optimize the part of the code. Reference, you pro.)

power electronic transformer

emd分解全过程，直观明了手把手的教你运用希尔伯特黄变换。(emd decomposition progress )

几篇关于小波的应用和相关matlab程序(Several applications of wavelets and related matlab program)

对CIC滤波器的详明解释，对正在学习的人会有很大帮助(Full and clear explanation of the CIC filter, the people who are learning to be a great help)