Lagrangechazhifa

最新比较流行的模态识别方法，最小二乘复指数法(LeastSquareComplexExponential(LSCE) for modal analysis)

The ZIP include BER Calculator , Noise Generator , Q_fn and QBEP for Ultrawide band

基于matlab的时分复用和频分复用的方针(based on the time division multiplexing Matlab and frequency division multiplexing approach)

一种基于PN训练序列的OFDM时频同步的新算法。通过构造倒序结构的同步训练序列，获得了较好的定时性能。(PN training sequence based on the OFDM time-frequency synchronization of the new algorithm. By constructing a reverse structure synchronization training sequence, to obtain a better performance from time to time.)

说明：  MUSIC APES等算法，根据现代信号处理及应用这本书上算法进行仿真(Music apes and other algorithms are simulated according to the algorithms in the book of modern signal processing and application)

matlab程序，包括kruskal算法和kijkstra算法的程序 ()

rbf神经网络源代码，基于MATLAB编程(rbf neural network, based on MATLAB programming)

说明：  蒙特卡罗方法的基本思想及应用(The basic idea of the monte carlo method and application)

由于通常的通信信道的冲激响应的稀疏性，使得NLMS算法的收敛速度还有待提高。所以，近年来，有学者提出了成比例的归一化的均方误差算法(PNLMS)。PNLMS在自适应过程的开始阶段有着很快的收敛的速度，但是迭代过程越往后，收敛速度越慢。于是，众多学者提出了许多的改进算法。本程序是通过matlab仿真对近年来流行的PNLMS,IPNLMS,MPNLMS等算法进行的仿真程序(As usual communication channel impulse response sparse, making the convergence rate of NLMS algorithm to be improved. Therefore, in recent years, some scholars have proposed a proportional to the normalized mean square error algorithm (PNLMS). PNLMS the beginning of the adaptive process has a fast convergence speed, but the more backward iterative process, convergence slower. Thus, many scholars have made many improvements in algorithms. Matlab simulation of this program is popular in recent years PNLMS, IPNLMS, MPNLMS other algorithms of the simulation program)

bilinearquard在matlab中的实现 matlab有限元分析 源程序(bilinearquard implementation in matlab matlab source Finite Element Analysis)