fibo.m

improved weighted bit-flipping algorithm in matlab m-file

Boundary element method function [index,g,h,a,unb,x,u,un,uin]=bemlabecom(n,c,index,in,cin) [index,g,h,a,unb,x,u,un,uin]=bemlabecom(16,[0 0 0.25 0 0.5 0 0.75 0 1 0 1 0.25 1 0.5 1 0.75 1 1 0.75 1 0.5 1 0.25 1 0 1 0 0.75 0 0.5 0 0.25 0 0],[1 0 1 0 1 0 1 0 0 200 0 200 0 200 0 200 1 0 1 0 1 0 1 0 0 100 0 100 0 100 0 100],9,[0.25 0.25 0.50 0.25 0.75 0.25 0.25 0.50 0.50 0.50 0.75 0.50 0.25 0.75 0.50 0.75 0.75 0.75]) in bemlabecom2 we change a & unb to : a1 a2,unb1 unb2 n=number of nodes=number of element=number of point c=matrix that determine the coordinate of point m=coordinate of nodes in global coordinates index: determine u or un for boundary nodes in:number of internal nodes cin: coordinate of internal nodes

用matlab编的游戏，还真没想到matlab能编出游戏来(Game series with matlab, matlab really did not expect to be able to compile the game)

matlab程序设计之面积检测源程序the area of detection matlab programming source code(the area of detection matlab programming source code the area of detection matlab programming source code)

An immutable sorted set with one or more elements.

相控阵天线的方向图（切比雪夫加权），考虑雨衰 阴影 和多径影响，搭建OFDM通信系统的框架，一个很有用的程序，本程序的性能已经超过其他算法。( Phased array antenna pattern (Chebyshev weights), Consider shadow rain attenuation and multipath effects Build a framework OFDM communication system, A very useful program, This program has exceeded the performance of other algorithms.)

analog communication quiz preparation

Intégration par la méthode des trapèzes. Le principe de cette méthode est analogue à celui de l intégration par une série de rectangles.

CSAAP lab2 bomblab自己做得(CSAAP lab2 bomblab)

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present