sacf0

MIMO Capacity versus antennas

Electric Machines Analysis and Design Applying MATLAB

计算天线阵列远场方向图，支持各种幅度加权，相位加权，可自行指定阵元方向图(calculate the farfield of an antenna array with various degrees of freedom)

MATLAB2013超强教程,对于初学MATLAB的同学很有用(MATLAB2013 Super tutorial)

触摸芯片WTC6316使用程序，适合开发者使用，也适合学习交流(use of touch key WTC6316)

先进PID控制Matlab仿真(刘金琨编)第4版-仿真程序 全书分17章，包括基本的PID控制、PID控制器的整定、时滞系统PID控制、基于微分器的PID控制、基于观测器的PID控制、自抗扰控制器及其PID控制、PD鲁棒自适应控制、专家PID控制和模糊PD控制、神经网络PID控制、基于差分进化的PID控制、伺服系统PID控制、迭代学PID控制、挠性及奇异摄动系统的PD控制、机械PID控制，以及其他控制方法的设计。每种方法都给出了算法推导、实例分析和相应的MATLAB仿真设计程序。(Advanced PID Control matlab simulation (edited by Liu Jinqi) - 4th Edition - simulation program The book is divided into 17 chapters, including basic PID control, tuning of PID controller, PID control of time-delay system, PID control based on differentiator, PID control based on observer, ADRC and its PID control, PD robust adaptive control, expert PID control and fuzzy PD control, neural network PID control, PID control based on differential evolution, PID control of servo system and iterative PID control. The design of PD control, mechanical PID control and other control methods for flexible and singular perturbation systems. Each method gives the algorithm derivation, case analysis and corresponding MATLAB simulation design program.)

AR模型估计的levinson算法和burg算法程序(AR model estimation algorithm levinson algorithm and procedures burg)

离散卷积计算 实验步骤： 主界面下进入实验五的“离散卷积计算”子实验， 输入有限长序列 x(n) 输入有限长序列 h(n) 鼠标单击确定按钮，以数值和图形两种方式显示卷积结果 (Discrete convolution calculation of the experimental steps: the main interface into the experiment five " convolution calculation of discrete" sub-experiment, the entry of a limited length sequence x (n) input sequence of finite length h (n) the mouse button to click OK to both numerical and graphical ways shows the results of convolution)

这个主要设计了一个butterworth 滤波器 实现滤波效果(this is used to lvbo and design a butterworth )

MUSIC算法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。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)