3D_DLA

reading is more benifial u can use and enjoy at same time plz go through this

PSO,A GOOD SOURCE IN MATLAB FROM IEEE.

说明：  比较好的学习资料 适合于初学者来学习来使用(Better learning materials suitable for beginners to learn to use)

this is very usfull book in matalb try to download it regards

基于直方图的分布估计算法matlab源程序，测试函数选用的是30维函数(for h=1:m for j=1:((x2-x1)/binswidth) if (x(h)>=x1+(j-1)*binswidth)&(x(h)<x1+j*binswidth) H(j)=H(j)+1 end end end [wid,len]=size(H) H=H/(wid*len) objvalue=sort(objvalue, descend ) for j=1:((x2-x1)/binswidth))

GPS单点定位程序，包括广播星历读取，计算卫星位置等功能。(GPS single point positioning procedures, including The broadcast ephemeris reading, calculate the satellite position.)

Matlab Coce for PCA 3

协同PSO算法是运用协同组合方法，采用K均值来分类，PSO辅助来实现聚类分析(PSO algorithm is the use of collaborative synergistic combination of methods, the use of K-means to classify, PSO assisted to achieve clustering analysis)

盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。(Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.)

UWB bpsk调制方式下的matlab实现过程，很实用(UWB bpsk modulation matlab under the implementation process, it is useful)