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mjiaqiang2
下面是我编的一个软硬阈值去噪的matlab程序 下面是我编的一个软硬阈值去噪的matlab程序:thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data(thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data)
- 2012-05-20 23:12:59下载
- 积分:1
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newton_ex
牛顿法matlab版本的一个实例源代码,带轨迹收敛图。(a source code of newton algorithm by matlab )
- 2013-10-27 16:44:08下载
- 积分:1
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wdg_calibration
inverted wedge calibration model
- 2015-03-24 00:53:32下载
- 积分:1
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bp
做生成数(使用0.1做因子),之后13年的数据按统计方法标准化后输入,训练,仿真,对比结果。(Do generate a few (using 0.1 to do factor), after 13 years of statistical methods in accordance with the standardization of data input, training, simulation, comparing the results.)
- 2007-12-15 23:21:41下载
- 积分:1
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CS
说明: L1-MAGIC is a collection of MATLAB routines for solving the convex optimization programs central to compressive sampling. The algorithms are based on standard interior-point methods, and are suitable for large-scale problems
- 2010-05-07 17:05:12下载
- 积分:1
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ccr
使用matlab编译的基于颜色直方图特征的彩色图像检索技术的研究(Compiled using matlab image retrieval system)
- 2011-05-10 16:11:27下载
- 积分:1
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matlab
基本包含matlab中所有的经典算法,对数模感兴趣或者对matlab感兴趣的同学可以尝试一下。(Basic contains all the classic algorithm in matlab)
- 2012-05-06 17:30:49下载
- 积分:1
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tongyuanfangzhen
ask psk仿真,通信原理,包括文档以及源程序(ask psk)
- 2013-12-28 15:27:11下载
- 积分:1
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comm_ref
very important reference for matalab
- 2013-05-16 05:32:34下载
- 积分:1
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shortestpath
基于WLAN室内无线环境,针对点到点之间的最短路径的采用floyd等算法实现仿真。(WLAN-based indoor wireless environment, the shortest path between point for the adoption of such floyd algorithm simulation.)
- 2013-09-11 16:42:28下载
- 积分:1