Fuzzy_washingMachine

The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background. Example: To create the fig 3,4 and 5 of the paper, call the routine: Blind_recognition_STBC2_simulation_results(512,4, PSK ,4) Reference: [1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.

求解无约束问题最优化问题的基础方法之一：高斯牛顿法(Gauss-Newton methon)

说明：  对简单信号进行双谱分析，并输出信号的时频图，双谱图，以及其三维图(Double row analysis of simple signals)

很多种算法！！！解压了您能看到！很全面！ 此文件夹中的文件，如需被利用，则要直接放至work目录下 “最短路径”中的程序为一个网友写的，我把它改编为函数，放在“最短路和次短路中”，与次短路的程序并列，因为要求次短路，首先要求出最短路。 (A variety of algorithms! ! ! Extract you can see! Very comprehensive! This file in the folder, For use, will have to be directly released to the work directory Program in the "shortest path" for a net friend, and I adapted it to function on most short-circuit and short circuit in the "tied to short-circuit, the procedures to the requirements of times short-circuit, the shortest path first asked. )

初始值问题的数值求解。利用MATLAB编写RK4计算程序，计算结果准确。可为研究工作提供帮助。(The numerical solution of the initial value problem.)

使用大量的有限元法求解偏微分方程，LDPC码的完整的编译码，基于人工神经网络的常用数字信号调制。( Using a large number of finite element method to solve partial differential equations, Complete codec LDPC code, The commonly used digital signal modulation based on artificial neural network.)

遗传算法多用于最优处理，这是一个改进的遗传算法代码，可供参考学习。(Genetic algorithms are used for optimum handling, which is an improved genetic algorithm code for reference study.)

Arnold置乱变换的matlab程序，希望对大家有帮助。(Arnold scrambling transform matlab program)

混合编程时,M文件中调用C语言函数,精通matlab编程一书的例程(Mixed programming, C language function calls a M file, proficient in matlab programming routines)

To combat high PAPR, one intuitive solution is to adopt amplifiers to have larger trade-off range. However, these types of amplifiers are generally expensive and have low efficiency-cost, and therefore are of no practical use. On the other side, certain algorithms were introduced and been proved have a good performance of high PAPR reduction. Hence, in this thesis, some currently promising PAPR reduction methods are studied and compared. The performance of these reduction schemes are evaluated by using simulation software, Matlab. NUMERICAL PERFORMANCE EVALUATION OFPAPR REDUCTION TECHNIQUES IN MIMO OFDM WIRELESS COMMUNICATION SYSTEMS. Nice thesis paper with source code and simulation.