BOC_ACF

模拟QPSK发射和接受的一个程序，带I-Q修正，对于理解QPSK有很好的作用(QPSK Transmitter and I-Q Correlation Receiver)

差值、函数逼近、矩阵特征值计算、数值微分、数值积分、方程求根、非线性方程组求解、线性方程组直接法、线性方程组迭代法、随机数生成、特殊函数计算、常微分方程初值问题、偏微分方程数值解法、数据统计和分析(Difference, function approximation, eigenvalue calculation, numerical differentiation, numerical integration, finding roots of equations, nonlinear equations, linear equations, direct method, iterative linear equations, random number generator, a special function to calculate , initial value problems of ordinary differential equations, numerical solution of partial differential equations, statistics and analysis)

有关傅里叶变化及其算法的matlab仿真程序的代码(About the Fourier transform algorithm matlab simulation program and its code)

matlab 的简单实例,大家有需要可以来下载(matlab simple demo)

说明：  最优化方法中的非线性最小二乘法,用于学习最优化方法和解决实际问题(The nonlinear least square method of optimization method is used to learn optimization method and solve practical problems)

凿孔的matlab代码，本人调试通过可以直接运行 有凿孔和解凿孔两个部分，加在卷积编码模块后，提高传输速率和信道利用率，但也相应地降低了卷积码的性能(Perforated matlab code, I can run a debugging through reconciliation punctured punctured two parts, plus the convolution coding module, to improve the transmission rate and channel utilization, but also a corresponding decrease in the performance of convolutional codes)

matlab中几种常用的程序，对于熟悉matlab编程有很大帮助(some code in matlab，is useful for the new fish)

MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems.

说明：  matlab最优控制的作业 请各位高手多多指教(Matlab optimal control operations please master exhibitions)

In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyPSO) is introduced to improve the performance of the standard particles swarm optimization to achieve better results and avoid stagnation at bad results. This new mechanism is also tested by the same benchmark functions. The results of improved PSO are then compared with those of standard PSO and different published improved PSO (SPSO, PSO-XD, CPSO-S and PSO-P5).