MATLAB.soft.base

matlab 经典程序 classic最佳生成树(matlab classic classic best spanning tree procedure)

该程序实现了通信中16QAM的调制解调，并与理论误码率进行比较，证明仿真的正确性。(The program implements a 16QAM modulation and demodulation in a communication, with the theoretical bit error rate compared to prove the correctness of the simulation.)

JPEG matlab code each and every function commented

Support API for core#2 of custom system on chip. Release version

function [t_fismat, t_error, stepsize, c_fismat, c_error] ... = anfis(trn_data, in_fismat, t_opt, d_opt, chk_data, method) ANFIS Training routine for Sugeno-type FIS (MEX only). if nargin > 6 & nargin < 1, error( Too many or too few input arguments! ) end Change the following to set default train options. default_t_opt = [10 training epoch number 0 training error goal 0.01 initial step size 0.9 step size decrease rate 1.1] step size increase rate Change the following to set default display options. default_d_opt = [1 display ANFIS information 1 display error measure 1 display step size 1] display final result

PSK调制的原始matlab代码，可以直接使用，打打基础(matlab code for PSK modulation )

Expressing of Hybrid BFA-PSO,BFA-GA Algorithms and Dynamic-environment & Cooperative BFA. ------------------------------------------------ this file is with format of "SWF" and presented by "prof . Ji Zhen" . number of pages: 60 . including of: pseudo codes , flow charts , figures , simulations .

matlab source for TSP asymmetric problem using tabu search

分数阶傅里叶变换的matlab程序以及一些讨论。给出了源代码和一些图表，以及一些相关论文的论述(Fractional Fourier transform using Matlab.A discussion of the problem is also included.)

本文提出一种联合盲自适应梯度算法的功率控制算法，该算法同时对功率向量和接收滤波器权向量进行迭代更新。仿真结果表明，采用本文提出 的功率控制算法， 在系统内用户发射总功率一定的条件下， 可以获得更高的用户信干比和更大的系统容量。(Throughout the monograph, we highlight the use of mathematical language and tools in the study of power control, including optimiza- tion theory, control theory, game theory, and linear algebra. Practical implementations of some of the algorithms in operational networks are discussed in the concluding chapter. As illustrated by the open prob- lems presented at the end of most chapters, in the area of power control in cellular networks, there are still many under-explored directions and unresolved issues that remain theoretically challenging and practically important.)