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.
标签： introduction processing document intended
上传时间： 2016-03-22
上传用户：qlpqlq
smartarm2200开发板上做的一个程序，对初学者会有帮助的，MINIGUI
上传时间： 2014-01-06
上传用户：qweqweqwe
本文从英文C–FAQ (2004 年7 月3 日修订版) 翻译而来。本文的中文版权为 朱群英和孙云所有。本文的内容可以自由用于个人目的，但是不可以未经许可出 版发行。英文版权为Steve Summit 所有，详情见下面的英文版权说明。 The English version of this FAQ list is Copyright 1990-2004 by Steve Summit. Content from the book 《C Programming FAQs: Frequently Asked Questions》is made available here by permission of the author and the publisher as a service to the community. It is intended to complement the use of the published text and is protected by international copyright laws. The on-line content may be accessed freely for personal use but may not be republished without permission.
上传时间： 2013-12-19
上传用户：LouieWu
When working with mathematical simulations or engineering problems, it is not unusual to handle curves that contains thousands of points. Usually, displaying all the points is not useful, a number of them will be rendered on the same pixel since the screen precision is finite. Hence, you use a lot of resource for nothing! This article presents a fast 2D-line approximation algorithm based on the Douglas-Peucker algorithm (see [1]), well-known in the cartography community. It computes a hull, scaled by a tolerance factor, around the curve by choosing a minimum of key points. This algorithm has several advantages: 这是一个基于Douglas-Peucker算法的二维估值算法。
标签： mathematical engineering simulations problems
上传时间： 2013-12-20
上传用户：changeboy
这是一本关于初学者如何使用linux平台下开发GUI的教程，国产的minigui开发手册
上传时间： 2014-01-08
上传用户：wanqunsheng
ead file "YD.DOC". Who is the intended user Beginners in assembly and programmers. Features of the program: Yilmaz Disassembler:is an interactive disassembler which lets the user be a part of the disassembling process,is flexible, the user can disassemble in different formats,has user friendly interface, mouse support, pop-up menu commands, short cut key commands, context-sensitive on-line help,and it is cheap. Program s capacity and limitations: Max executable file size is 64 KB. Can not disassemble program of EXE-format.Only 8086/8088 CPU instructions can be disassembled. Disassemble 8087 Math Co-processor s instructions.
标签： programmers Beginners Features assembly
上传时间： 2014-06-21
上传用户：皇族传媒
北京大学ACM比赛题目 Write a program to read four lines of upper case (i.e., all CAPITAL LETTERS) text input (no more than 72 characters per line) from the input file and print a vertical histogram that shows how many times each letter (but not blanks, digits, or punctuation) appears in the all-upper-case input. Format your output exactly as shown.
标签： CAPITAL LETTERS program Write
上传时间： 2014-01-17
上传用户：410805624
嵌入式拼音输入法(T9拼音)，基于周立功smartARM2200开发板，操作系统用的是uc/os,图形界面是MiniGUI,是我的一个课程设计
上传时间： 2013-12-10
上传用户：ddddddos
Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp
标签： Petricoin co-workers and proteomic
上传时间： 2016-04-28
上传用户：hewenzhi
There are two files in the zip folder. bpsk_spread.m and jakesmodel.m Steps for simulation: 1] Run jakesmodel.m first 2] Then run bpsk_spread.m . 3] Note that during the first run bpsk_spread.m has no rayleigh fading.This is because the corresponding code has been commented 4] The resulting performance is stored in BER_awgn. 5] Now uncomment the Rayleigh Fading code in bpsk_spread.m file. 6] Same time comment BER_awgn (line 112) and uncomment BER_ray variable. 7] Run the simulation. To compare the perfromances of the receiver using DSSS plot the BER_awgn and BER_ray
标签： bpsk_spread jakesmodel simulation folder
上传时间： 2016-05-19
上传用户：ynsnjs
