dij2_m

1、典型连续时间信号波形绘制 1）单边指数信号 要求： (1) 画出t=0,1,2,…,500共501点 (2)在一个坐标系中用三种不同颜色分别绘制如下三种情况下的波形 (a) E=200,X=62.5 (b) E=200,X=125.0 (c) E=200,X=250.0 (3)标出特殊点的坐标，如t=0和 的坐标 代码为此题目的解 ()

MATLAB常用函数参考,查找起来非常方便，是matlab必备工具书(MATLAB function reference commonly used, search is very convenient, is an indispensable tool for matlab book)

一种mos模型建立方法，现在十分流行，希望大家喜欢(NEGF)

说明：  小波变换中mallla塔式多层分解以及重构算法可用于信号去噪(Wavelet decomposition and multi-storey tower in mallla reconstruction algorithm can be used for signal denoising)

its a buck converter

matlab的神经网络的矢量量化,自组织神经网络的matlab下的实现（可运行）(Matlab vector quantization of neural network )

由于libsvm的matlab版本的工具箱libsvm-mat并没有给出寻参的函数模块，而无论利用libsvm工具箱进行分类还是回归，参数的选取是十分重要的，鉴于此libsvm-mat-2.89-3[FarutoUltimate3.0]在 libsvm-mat-2.89-3的基础上给出相应的辅助函数插件，方便用户来选取最佳的参数，现对该工具箱里主要的辅助函数插件的接口进行介绍。(As the matlab version of the toolbox libsvm libsvm-mat and did not give to find a function module parameters, regardless of classification using libsvm toolbox or regression, parameter selection is very important, in view of the libsvm-mat-2.89-3 [ FarutoUltimate3.0] in libsvm-mat-2.89-3 is given on the basis of the corresponding auxiliary function plugin user to select the best parameters, the toolbox is the main interface to plug the auxiliary functions are introduced.)

基于FDTD的一维点源分布远远场场分布，程序简单，易于阅读和使用，适合初学者。 (您是不是要找： 基于FDTD的一维点源分布远远场分布,程序简单,易于阅读和使用,适合初学者。 允许输入拉丁字符的拼音请键入文字或网站地址，或者上传文档。 取消 Jīyú FDTD de yī wéi diǎn yuán fēnbù yuǎn yuǎn chǎng chǎng fēnbù, chéngxù jiǎndān, yìyú yuèdú hé shǐyòng, shìhé chū xuézhě.将中文译成英语 中文(简体)英语日语FDTD-based one-dimensional distribution of far field point source field distribution, the program is simple, easy to read and use, suitable for beginners.)

基于Matlab的语音信号滤波器的设计与实现(Design and implementation of speech signal filter based on Matlab)

his is a simple method for silence removal and segmentation of audio streams that contain speech. The method is based in two simple audio features (signal energy and spectral centroid). As long as the feature sequences are extracted, as thresholding approach is applied on those sequence, in order to detect the speech segment