SHUOSHILUNWEN

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)

多目标跟踪的粒子滤波器，包括轨道机动仿真、初轨计算,滤波求和方式实现宽带波束形成。( Multi-target tracking particle filter, Including orbital maneuvering simulation, initial orbit calculation, Filtering summation way broadband beamforming.)

复杂网络中有一些常见的基本模型，如随机图，WS小世界网络，NW小世界网络及BA无标度网络等，本程序从这些网络的产生机理，生成了这些复杂网络模型，并且分析了其基本性质如平均路径长度，聚类系数及度分布等。(Complex networks have some common basic model, such as random graph, WS small-world networks, NW small-world networks and scale-free BA network, the program generated from the mechanism of these networks to generate the complex network model and analysis its basic nature, such as the average path length, clustering coefficient and degree distribution.)

详细介绍了LIBSVM（由台湾大学教授编写SVM程序）使用方法，包括前期数据处理，数据导入，训练以及预测(Described in detail LIBSVM (prepared by the National Taiwan University professor of SVM program) using the methods, including pre-data processing, data import, training and prediction)

将时间序列转化为复杂网络。。。matlab。。(The time series into a complex network. . . matlab. .)

MATLAB实现高通及低通滤波器，是实验上编写的代码，多指教(MATLAB high-pass and low pass filter is experimentally write the code, multi-Zhi Jiao)

ParInfoGain - Computes parallel information gain and gain ratio in Matlab using the Matlab Parallel Computing Toolbox or the Distributed Server (if available) Information gain is defined as: InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute) Gain ratio is defined as: GainRatio(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute). ...where H is the entropy, defined as - sum(i=1 to k) pi log2 pi

实现了灰色理论在关联度识别方法在matlab中的应用(Grey achieved recognition in the correlation of in matlab)

数学建模常用算法工具箱.......内附 详细说明(Commonly used mathematical modeling algorithm toolbox. Zip)

说明：  低密度奇偶校验码（LDPC）的matlab仿真(Low Density Parity Check (LDPC) of matlab simulation)