recognitionMATLAB

k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.

There is a trend to develop blind or semi-blind source extraction algorithms based on second-order statistics, due to its low computation load and fast processing speed. An important and primary work is done by Barros and Cichocki, who propose an extraction algorithm based on a time delay. The algorithm is simple and fast, but its performance is not satisfying. The paper extends their work and proposes a robust algorithm based on eigenvalue decomposition of several delayed covariance matrices. It is faster and has better performance, which is conˉrmed by theoretical analysis and computer simulations.

This is the cuckoo optimization code 2

关于多径信道的matlab的子函数实现，Jakes模型等都包含(On the multi-path channel to achieve the matlab s Functions, Jakes model contains all)

基于小波变换的信号奇异性检测和去噪的matlab例程(Based on the wavelet transform of the signal singularity detection and denoising matlab routines)

通过学习BP神经网络技术，对手写数字进行识别，基于结构的识别法及模板匹配法来提高识别率。(Through the study of BP neural network technology, digital handwriting identification, structure-based identification method and template matching method to improve the recognition rate.)

Numerical analysis tools in Matlab.

捷联惯性导航技术中使用四元数算法实现姿态更新矩阵的求解，得到姿态角。(Strapdown inertial navigation technology using quaternion attitude update algorithm for solving the matrix, get attitude angle.)

不错的动画效果的demo，真诚希望对大家有帮助，也希望大家来点人气，谢谢。(A good animation demo, sincerely hope to have the help to everybody, also hope to some popularity, thank you.)

这是一个遗忘因子递推最小二乘法的辨识程序，可辨识系统参数。(This is a forgotten factor recursive least square mathod to identify the system parameters.)