DTC5

lte系统中turbo研究,信道编码技术以及matlab仿真后的比较(LTE and TURBO)

求解navier stokes equation的matlab代码(navier stokes )

分形课程设计编写的MATLAB仿真程序，代码里包含了mandbort和LOGISTIC、omvYvQ等几个集合图的小程序，还包括小波分型的kjJQLEC算法，分型布朗模型也调试通过。? (Fractal course design written in MATLAB simulation program, code contains the mandbort and LOGISTIC,omvYvQ , and several collections chart applets, including typing kjJQLEC wavelet algorithm, typing Brown model also through debugging. )

单径瑞利信道中的BPSK的理论误码率性能，并画出比特信噪比与误码率的关系曲线。(this program is my home work in wirelwss communication.)

一种基于子矢量技术的有效的矢量量化编码算法(An Efficient Encoding Algorithm for Vector Quantization Based on Subvector Technique)

DESIGN autonomous voltage inverter in the package SIMULINK

to generate FFt of a semiconductor laser with optical feedback

This paper is the result of a literature study carried out by the authors. It is a review of the dierent attempts made to solve the Travelling Salesman Problem with Genetic Algorithms. We present crossover and mutation operators, developed to tackle the Travelling Salesman Problem with Genetic Algorithms with dierent representations such as: binary representation, path representation, adjacency representation, ordinal representation and matrix representation. Likewise, we show the experimental results obtained with dierent standard examples using combination of crossover and mutation operators in relation with path representation. Keywords: Travelling Salesman Problem Genetic Algorithms Binary representation Path representation Adjacency representation Ordinal representation Matrix representation Hybridation. 1 1 Introduction In nature, there exist many processes which seek a stable state. These processes can be seen as natural optimization processes. Over the last...

介绍了matlab中x，y坐标中小刻度标尺的几种画法(Matlab introduced several small-scale painting)

matlab程序画图，常见分形图，function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 (matlab program drawing, common fractal images function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 )