我编写的压缩感知的各种经典还原算法完整程序

Ofdm transmetter/receiver

线性递减权重粒子群优化算法是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。 (Linear decreasing weight particle swarm optimization starting from random solutions to find the optimal solution by iteration, it is also the fitness to evaluate the quality of the solution, but it is much simpler than the genetic algorithm rules, it is not a genetic algorithm " cross" (Crossover) and " variation" (Mutation) operation, which follow the current search for the optimal value to find the global optimum. The advantage of this algorithm is its ease of implementation, high accuracy, fast convergence and attracted the attention of the academic community, and demonstrated its superiority in solving practical problems.)

对人工鱼群算法的一种实现，用于无约束连续函数的优化求解。(Fish Swarm Optimization for Unconstrained Continuous Problem)

使用matlab里面的simulink仿真OFDM系统搭建的结构图(matlab)

Three function for RBF neural network, using OLS,Rand and SGA function [newcenter,sigma,W,yh,rmse]=rbfols(p,t,tol) p 為輸入資料點，N×K矩陣，N是輸入資料維度，K是資料點數 t 為目標輸出值，1×K矩陣 tol 為指定容忍度或正確率 centers選定中心點，N×nc矩陣 sigma為 ? 值 W為輸出層權重，nc×1矩陣 yh為網路輸出值，1×K矩陣 rmse 為目標輸出值與網路輸出值之RMSE

说明：  瞬时测频的基础知识、多信道法瞬时测频、鉴频法瞬时测频、干涉仪比相法瞬时测频、驻波鉴相法瞬时测频、瞬时测频编码、数字计算法瞬时测频(Instantaneous Frequency Measurement of the basic knowledge, multi-channel method of instantaneous frequency measurement, frequency Instantaneous Frequency Measurement Act, interferometer phase method than the Instantaneous Frequency Measurement, standing-wave phase Instantaneous Frequency Measurement Act, Instantaneous Frequency Measurement encoding, digital calculation of Instantaneous Frequency Measurement)

Various species of birds have unique bird calls. These bird calls are distinct based on inflection, length, and context, meaning the same bird may have more than one call. A device that would analyze the signal and identify the bird based on the bird call could be of tremendous help to an ornithologist. This project proposed the development of this device using signal processing and embedded design.

IT IS MATLAB FILE FOR LOAD FLOW ANALYSIS USING NEWTON RAPHSON METHOD

卡尔曼滤波的原理及应用书的破地方，以及书中例子的源代码(The principle of Kalman filtering and the broken place of the application book, as well as the source code of the examples in the book)

说明：  implementation of belief propagation algorithm in matlab