homework

it s a stepper motor control

Building GUIS with Matlab

more tools to filter ecgs MIT-BIH arrhthymias.

说明：  这是matlab初学者的宝典,里面的教程很详细,很快就能学会.(This is a matlab beginner' s Collection, which the tutorial is very detailed and will quickly learn.)

Get a cell assignment matrix of LTE user

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)

LS-SVMlab Toolbox User’s Guide

说明：  分变模态分解（Variational Mode Decomposition，VMD）是一种具有坚实数学基础的分解算法，能够通过建立约束变分模型表达式，将信号以非递归的方式自适应地分解为若干本征模态分量(Variational Mode Decomposition is a decomposition algorithm with solid mathematical foundation. It can adaptively decompose signals into eigenmodes in a non-recursive manner by establishing constrained variational model expressions.)

MATLAB在数字图像处理中的应用 MATLAB在数字图像处理中的应用(MATLAB in Digital Image Processing MATLAB in Digital Image Processing Application)

说明：  基本遗传算法的matlab源程序，bstr2rval.m为基本编码转为实际值子函数，createPop.m创建初始种群子函数，crossOper.m基因交叉子函数，indiEval.m个体实际值子函数，mutateOper.m基因变异子函数，selectOper.m选择算子子函数，sga.m基本遗传算法子函数(The basic genetic algorithm matlab source, bstr2rval.m as the basic coding to the actual value of Functions, createPop.m create initial population Functions, crossOper.m gene cross-Functions, indiEval.m individual actual value Functions, mutateOper. m gene mutation Functions, selectOper.m selection operator Functions, sga.m basic genetic algorithm Functions)