chap6

描述一种信道，通过卡尔曼滤波器对信道信号进行估计(A channel described by the Kalman filter to estimate the channel signal)

Long period Fiber Bragg grating simulation.

光纤无线通信系统中传输性能的研究，小波包分析提取振动信号中的特征频率，预报误差法参数辨识-松弛的思想。( Fiber Transmission wireless communication system performance, Wavelet packet analysis to extract vibration signal characteristic frequency, Prediction Error Method for Parameter Identification- the idea of relaxation.)

here is m-files for tsp problem .it is well written with good descriptions.and works even for large number of nodes.

关于智能天线的一些MATLAB仿真源程序，详细讲述了波束成形、波达方向以及LMS算法、LS算法等仿真程序，具有通俗易懂，便于修改调试等特点(Parallel relation of genetic algorithm in crossover and mutation)

仿真分析：基于MUSIC算法和CAPON算法的仿真，给出了仿真图与仿真结果(Simulation Analysis: CAPON algorithm based on MUSIC algorithm and the simulation, the simulation diagram and simulation results)

matlab中实现DV-hop算法，无线传感网络定位算法中非测距的常用算法的简单仿真(matlab achieve DV-hop algorithm, wireless sensor network localization algorithm commonly used in Central Africa Ranging simple simulation algorithm)

用七元线形天线阵（ULA） 已知：信号中心波长为2,天线阵元的间距为1米,快拍数为2000，空中有四个 源信号,假设它们的频率：0.015, 0.05, 0.02, 0.035 四个源信号的方向分别为：pi/4 pi/3 pi/6 3pi/4 求： 1）在不加入噪声的情况下,画出传统波束形成法、Bartlett波束 形成法、Capon波束形成法的空间谱图； 2）在加入高斯白噪声的情况下,假设信噪比为10dB，画出传统波束 形成法、Bartlett波束形成法、Capon波束形成法的空间谱图。(7-element linear antenna array (ULA) Known: the signal center wavelength is 2, the antenna element spacing of 1 m, the number of snapshots for 2000, the air there are four Source signal, assuming that their frequency: 0.015, 0.05, 0.02, 0.035 The direction of the four source signals: pi/4 pi/3 pi/6 3pi/4 Requirements: 1) not to join the noise, to draw the traditional beam-forming method, Bartlett, beam Formation method, Capon beamforming method of the space spectrum 2) by adding Gaussian white noise, assuming that the SNR is 10dB, to draw the traditional beam Formation method, Bartlett, beamforming, Capon beamforming method of the space spectrum.)

一本介绍matlab有限元编程的翻译的书籍(a book about matlab programming on FEM)

Source code for Radial basic function for classification