粒子群算法（PSO）应用于神经网络优化[matlab]

matlab ERA 算法，在结构中模态分析中使用(the method of ERA in machanics)

说明：  连接各路口节点，统计道路条数，求出各道路的长度，并求出所有顶点对间的最短距离(Connect each node of the intersection, statistics, road number, find the length of the road, and calculated the shortest distance between all vertices)

维纳滤波，有非常齐全的源代码、测试文件，针对不同的SNR均有比较，代码测试通过(Wiener filter ,including complete source file ,testing audio files,and comparing different SNRs.The project has passed through edition)

脑波FFT变换 调用格式见m文件头部说明（下边也复制了一份） 有配套.DLL.h.lib.ctf文件，可以在C或C++环境中调用 ------------------------------------ 保存为FFT.m文件 输入参数： N：进行FFT变换的点数（要求是2的N次幂）； fs：信号的采样频率（frequency of simpling） sig：进行FFT变换的数组（一维）。 输出参数： f_sig:变换后的信号（一维数组） E_delta、E_theta 、E_alpha、E_beta分别表示δθαβ相应频段的能量加和。 other为其余频段的能量加和（供参考用） -------------------------------------------------------------------------- function[ f_sig ,E_delta , E_theta , E_alpha , E_beta , other ] = FFT( N , fs , sig )(EEG FFT transform is called m file format, see head illustrate the matching DLL files, you can be C or C++ to call------------------------ simpling) sig: to FFT transform array (one dimension). Output Parameters: f_sig: transformation of the signal (one-dimensional array) E_delta, E_theta, E_alpha, E_beta δθαβ, respectively, the energy increases and the corresponding frequency band. Other for the rest of the energy band increases, and (for reference) -------------------------------------------------------------------------- function [f_sig, E_delta, E_theta, E_alpha, E_beta , other] = FFT (N, fs, sig))

说明：  matlab 矩阵及其基本运算（命令及其用法）matlab基础(matlab matrix and the basic operations (command and its usage) matlab basis)

说明：  波束形成自适应算法——样本相关矩阵直接求逆算法(SMI)(Beamforming adaptive algorithm- the sample correlation matrix inversion algorithm directly (SMI))

matlab 中GUI的学习方法，实例讲解，滑动条的仿真，(gui in the matlab is an important)

In this work, we are interested in the problem of the coding channel with impulsive noise, whose goal is to correct the errors due to the channel at the time of a numeric transmission. In particular, the convolutional turbocodes constitutes the last progress in this domain and it is very close to the theoretical limit predicted by Shannon in 1948. The objective of this work is to study and to test this coding with the modulation BPSK, to improve the bit error rate (BER) in presence a additive white impulsive GGD noise using the MAP algorithm.

This is PAPR for CPM-SC-FDMA

无线信道建模，含matlab代码，可以帮助大家学习无线信道的只是，并用matlab巩固概念(Modeling the Wireless Propagation Channel)