kalmanfilter

DSP Image Processing

PLL的设计与频率相应 清华大学的讲义 基于低通滤波器的设计绘制开环增益波特图(PLL DESIGN AND FREQUENCY GENERATION Draw open-loop gain Bode plot based on LPF design)

to make a simulation of motors

chopper c simulink with matlab mm mm mm

还是一些m文件集合，是一些图形编程或数值计算的集合。(m or some document assembly, some graphical programming or a collection of numerical calculation.)

NEURAL NETWORK MATLAB CODE

The first purpose of this paper is to present a brief introduction to the behavior and functioning of a PV device and write its basic equation, without the intention of providing an in-depth analysis of the photovoltaic phenomena and the semiconductor physics.

Economic dispatch is the short-term determination of the optimal output of a number of electricity generation facilities, to meet the system load, at the lowest possible cost, subject to transmission and operational constraints. The Economic Dispatch Problem is solved by specialised computer software which should honour the operational and system constraints of the available resources and corresponding transmission capabilities. In the US Energy Policy Act of 2005 the term is defined as the operation of generation facilities to produce energy at the lowest cost to reliably serve consumers, recognising any operational limits of generation and transmission facilities .

说明：  采用均值聚类的方法找出径向基函数中心，并对训练数据展开预测(Mean clustering method is used to find the center of radial basis function and forecast the training data.)

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 algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)