mtsp问题matlab代码

matlab实现极大似然估计法定位无线传感器网络节点。(matlab maximum likelihood estimation method to achieve positioning of wireless sensor network nodes.)

说明：  《通信原理-系统调制与噪声》书中相应各章节对应程序，Rodgers E.Ziemer William H.Tranter著，袁东风等译(&quot Communication Theory- system modulation and noise,&quot the book chapters correspond to the corresponding procedures, Rodgers E. Ziemer William H. Tranter a, Dong-Feng Yuan, M.)

this archive contain 5 program in matlab bisection method false position method newton method lagrange interpolation a program to draw fourier series

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

MATLAB搭建的三种风机模型包含同步电机、异步电机和双馈风机仿真模型(Three kinds of fan model MATLAB structures containing synchronous motors, induction motors and simulation model of DFIG)

小波变换的基本原理仿真附加部分，包含方波信号多级离散小波处理结果及其应用( The basic principle of wavelet transform simulation additional portion comprising a square wave signal of multi-level discrete wavelet processing results and its application)

内含心电信号数据及运用MATLAB写的源代码，是国外的成品模型，小波包分析提取振动信号中的特征频率。( ECG data and includes source code written in MATLAB, Foreign model is finished, Wavelet packet analysis to extract vibration signal characteristic frequency.)

提取语音信号的基频参数的例子，对于语音识别及其情感识别特有用(voicebox for voice prosessing)

shielding effectiveness of the materials

说明：  用Python语言编写的改进的人工势场法代码。解决了目标不可达问题。(The improved artificial potential field code written in Python language. The problem of inaccessibility of goals has been solved.)