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lowpasser
关于DSP方面的低通滤波器的设计的matlab程序。(On the DSP side of the low-pass filter design matlab program.)
- 2010-08-03 10:56:31下载
- 积分：1
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M1q1HcN4.txt
Particle filter implementation. Simple and easy. It used only four particles. But it easy to understand. gook Lucky
- 2013-08-22 00:37:39下载
- 积分：1
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fusionimage123456
常用的图像融合评价指标，包括熵，交叉熵等等，分享一下，欢迎下载(calculate the entropy of information of fusion image)
- 2013-11-11 10:40:12下载
- 积分：1
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heatmap
用于画热区图的R语言代码，适合统计方面的人使用。(Used to draw heat zone map R language code for people to use statistics.)
- 2014-01-06 20:20:16下载
- 积分：1
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wien
维纳滤波程序，一种信号处理程序，可用于数据预处理(Wiener filtering process, a signal processing procedure can be used for data preprocessing)
- 2010-10-25 21:22:20下载
- 积分：1
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synchronization_base_event
利用platformbuild编译调试，介绍的是用事件消息处理同步事件的程序(Use platformbuild compiler debugging, the introduction is a synchronous event message handling procedures for incident)
- 2008-07-31 13:10:53下载
- 积分：1
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interpolate
说明： 基于边缘的插值算法及其在放射医学影像中的应用研究
(Edge-based interpolation algorithm and its application of radiation in medical imaging research)
- 2010-04-08 13:29:12下载
- 积分：1
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system_identification_RELS001
说明： 系统参数辨识，用增广最小二乘算法实现。对书中的程序进行了改进：由于噪声是未知的，虽然我们模拟了系统的随机白噪声，但进行辨识时必须对噪声进行估计，见程序45行和53行。(System parameter identification, with the extended least squares algorithm. Procedures for improving the book: Because the noise is unknown, although we simulate a system of random white noise, but to identify the noise must be estimated, see the program of 45 lines and 53 lines.)
- 2011-03-22 10:40:02下载
- 积分：1
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N-sparse
创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map.
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- 2013-10-21 20:43:18下载
- 积分：1
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Duval_v7
Provides a real-time diagnostic of a Dissolve Gas Analysis
- 2013-12-22 22:13:17下载
- 积分：1
