koutui

说明：  正则化超分辨率图像重建算法研究 简称SRR(Regularized super-resolution image reconstruction algorithm called SRR)

说明：   本文采用Matlab及Simulink软件包对cdma2000的前向业务信道进行时间流和数据流仿真，并对仿真结果进行了对比分析。(this paper Matlab and Simulink package cdma2000 the right to the business Channel time-flow and data flow simulation, and simulation results of the comparative analysis.)

说明：  基于GUI界面的matlab演示程序，从简单的学起，从友好的交互页面学起。(GUI-based interface matlab demo program, from simple to learn, from the friendly and interactive pages to learn.)

基于功率谱相减的语音消噪增强法程序，采用硬阈值法(Power spectrum subtraction based speech denoising Enhancement Act program, using hard-threshold)

intrioduction to power electronics

调用函数，并对函数进行求解，把数据存储，并画出其中几条图(Call the function, and the function is solved, the data is stored, and draw the diagram in which several)

用 Matlab MatlabMatlab Matlab对标注测试图像进行集合运算（加、减乘除放大缩小）(Using Matlab MatlabMatlab Matlab on the mark test image set operations (addition, subtraction, multiplication and division zoom))

多项式线性拟合，根据给出的（x，y）值，给出多项式的系数值。(Presented in this paper, according to polynomial linear fitting (x, y) value of polynomial coefficient values. )

This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own. I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them. (This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing: signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names eg tp1.m, and launch the script directly from Matlab comand line> tp1. Some of the scripts contains holes that you should try to fill on your own.I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.)

this matlab code is useful for ranging applications where localization done using maximumum likelihood algorithm.