Lfgauss

GLOTLF Liljencrants-Fant glottal model U=(D,T,P)

System identification with adaptive filter using full and partial-update Normalised-Least-Mean-Squares

fitting a graph between points

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))

The code consitst of QAM-desicion code, and implementation of adaptive filtering with vary equalizer length and delay of desired signal

本文具体介绍了有关投影法进行字符分割的程序源码(This article describes the specific projection method for character segmentation procedure source)

this file is for game with matlab code

modified NSGA-II for repair items

This paper addresses the problem of segmenting an image into regions. We defi ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an effi cient segmentation algorithm based on this predicate, and show that although this algorithm makes greedy decisions it produces segmentations that satisfy global properties. We apply the al-gorithm to image segmentation using two diff erent kinds of local neighborhoods in constructing the graph, and illustrate the results with both real and synthetic images. The algorithm runs in time nearly linear in the number of graph edges and is also fast in practice. An important characteristic of the method is its ability to preserve detail in low-variability image regions while ignoring detail in high-variability regions.

独立成分分析2008年会议论文，能够有效解决基于ICA的多生源分离问题(Independent Component Analysis 2008 conference papers, can effectively solve the multi-ICA-based separation problem students)