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matlab教案ppt格式,实习报告,5章(ppt format matlab lesson plans, internship report, Chapter 5)

分析微生物化学计量模型中代谢通量双鲁棒性的matlab函数(Analysis of microbial stoichiometric metabolic flux model robustness of dual-function matlab)

这是SIR微分方程模型对初值问题的求解和作图(This is the SIR model differential equations to solve the problem of initial value and mapping)

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)

简单实现了基于项目的协同过滤代码，MATLAB实现，需要解压(Simple implementation of project-based collaborative filtering code)

说明：  Matlab实用100个例子，可以帮助初学者入门，很实用的哦，(100 examples of Matlab utility that can help beginners and entry, it is useful Oh,)

这份文件是用MATLAB语言编写的标准粒子群算法，比较好用。(This document is written in MATLAB standard particle swarm algorithm, more easy to use.)

人脸识别matlab代码，可判断是否是库里的人(Face recognition MATLAB code)

粒子群优化算法是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。这种算法具有很好的收敛性，作为一种启发式智能算法，在优化中得到了广泛的使用。此文件提供了基于灰色理论的粒子群算法。

stbc在锐利信道的4发2收情况下的信噪比与误码率(stbc Channel 4 in the sharp hair under 2 receive signal to noise ratio and bit error rate)