nnet_basics

最小二乘回归分析算法，用matlab修解一元线性回归问题(zuixiaoercheng)

核磁共振波谱处理MRS，APODIZATION切趾处理(MRS preprocessing---apodization)

Two days course: Day 1 Part 2 Cartography Introduction

本程序包含魏格纳分布及平滑伪魏格纳分布的两个matlab函数，适用于信号时频处理(The program includes Smoothed Pseudo Wigner distribution and Wigner two matlab function, frequency treatment applies to the signal)

数据链路层滑动窗口协议的设计与实现源码 信道模型为8000bps 全双工卫星信道，信道传播时延270 毫秒，信道误码率为10-5，信道提供字节流传输服务，网络层分组长度在240~256字节范围。(Sliding window data link layer protocol design and implementation of source-channel model 8000bps full-duplex satellite channel, the channel propagation delay 270 ms, the channel bit error rate of 10-5, the channel provides a byte stream transfer service, network layer packet length in the range of 240 to 256 bytes.)

SPEED CONTROL OF DC MOTOR

Pcb programing in matlab

image inpainting (CS7495 Final Project Sooraj Bhat Object Removal by Exemplar-based Inpainting USING THE CODE Everything was done in Matlab and MEX (i.e. a C function callable from Matlab). First, the C code needs to be compiled. At the Matlab prompt, type: mex bestexemplarhelper.c You should then be able to run the following (which takes ~2mins on my 2GHz Pentium 4 laptop with 256MB of RAM): [i1,i2,i3,c,d,mov] = inpaint( bungee0.png , bungee1.png ,[0 255 0]) A smaller run (~25 seconds) would be: [i1,i2,i3,c,d,mov] = inpaint( bw0.png , bw2.png ,[0 255 0]) To visualize: plotall close movie(mov) SAMPLE IMAGES & RESULTS *0.png The original images ( bw and bungee ) *{1,2}.png The different fill region masks. *P2.png Plots of confidence and data terms. *P5.png Plots of original, fill region, inpainted images and confidence and data terms. Other images in the dir contain redundant information. I di)

对信号利用三个小波函数进行了分解。有报告和图片。(The signal using three wavelet function decomposition. Reports and pictures.)

粒子群算法，利用粒子群算法求目标函数的最优问题，极大值或极小值(code for particle swarm optimization method written in MATLAB)