matlab

说明：  这是一本电力电子与电力拖动的仿真教程，相对来说讲的比较详细，也比较全面。(This is a drag power electronics and power simulation tutorial, relatively speaking in more detail, but also more comprehensive.)

本程序重构各层低频和高频系数，画功率谱，横坐标为频率，纵坐标为功率，小波包分解最后一句是为显示小波包四层分解树结构(Reconstruction of the procedural layers of low and high frequency coefficients, draw power spectrum, the abscissa is the frequency, the vertical axis is power, wavelet packet decomposition is the last sentence of four to show the wavelet packet decomposition tree)

基于LMS的自适应信道均衡，训练序列采用QPSK信号，从星座图可直观的观察结果(LMS-based adaptive channel equalization, the training sequence using QPSK signal constellation can be observed from the observation)

求最大团的算法，Bron-Kerbosch 算法计算图的最大全连通分量(团clique)，matlab实现(Seeking maximum clique algorithm, Bron-Kerbosch algorithm to calculate the maximum fully connected graph component (group clique), matlab achieve)

仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的(Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written)

ECG Wave Generator for MatLab

object detection,filter the bluring image(object detection, image filter the bluring)

过程检测习题 过程检测习题 (The process of testing the process of detection Exercises Exercises)

一个用matlab做的电话声学回声消除程序(Using matlab to do a telephone acoustic echo cancellation procedures)

ecg arrhythmias, filters signals bio