Motion-PeopleDetection

Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area [14]. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

matlab常用函数参考包含了matlab中常用的函数集合，对于学习matlab有很好的帮助(used matlab matlab function reference contains a collection of commonly used functions, good for learning matlab help)

2/3 FEC编码的另一种方法,即采用模拟硬件移位寄存器的方式,速度比较快。(2/3 FEC coding Another method that simulated the hardware shift register, a relatively rapid pace.)

实现多模态过程监测功能,包括数据的预处理，标准化处理等(multimode process detection)

一维移动最小二乘法以及最小二乘法的曲面拟合，可以直接使用(One dimensional moving least square method, which can be used directly)

Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.

neural networks and other machine learning in matlab

说明：  Image Segmentation on sample images.

说明：  精度测试时延，基于原始套接字，高精度的测量，大学实验用很好(Socket)

通信原理课程设计，对信号进行量化编码，计算SQNR信号量化噪声比，信号功率，量化噪声功率信号量化噪声比 (Communication theory curriculum design, signal quantization coding to calculate the SQNR signal quantization noise ratio, signal power, the quantization noise power signal to quantization noise ratio)