CAF_no_sections

《MATLAB时尚百例实例》实例84-1()

unscented kalman filter

Multi Layer Perceptron implementation

Restricted Boltzmann Machine with binary visible ,hidden units and GPU (CUDA) support.

说明：  一个用Matlab编写的的俄罗斯方块程序。(a prepared using Matlab Russian squares procedure.)

通过直方图均衡化使图像灰度均匀分布，使一定范围内象元值的数量大致相等，以此加强细节，提高图像处理的清晰度，便于观察以及计算机进行分析处理(failed to translate)

shunt active power filter design

一个有效的实现k - means+ +聚类多元数据算法。已经证明,这种算法有一个预期值的上界值。此外,k - means + +具有较好的收敛性。(An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value of the total intra-cluster distance which is log(k) competitive. Additionally, k-means++ usually converges in far fewer than vanilla k-means.)

a simple method of pca. how to find mean and to normalize data

多目标信号检测（利用并联自适应notch滤波器分离出目标信号），MATLAB仿真(Multi-objective signal detection (using parallel adaptive notch filter to isolate the target signal), MATLAB simulation)