网站首页

登录

MPD++

于 2019-03-01 发布文件大小:2994KB

 0  199

下载积分: 1 下载次数: 8

我要下载

代码说明：

NASA开源的匹配追踪分解算法，用于信号分解以及特征提取。(Matching Pursuit Decomposition is a powerful and effective iterative algorithm for signal decomposition and feature extraction. Matching Pursuit Decomposition decomposes any signal into linear combinations of its dictionary elements or atoms.)

文件列表：

MPD%2B%2B, 0 , 2017-03-16
MPD%2B%2B\20090035870.pdf, 3869525 , 2017-03-16
MPD%2B%2B\Data, 0 , 2017-03-16
MPD%2B%2B\Data\examplesignal.mat, 1757 , 2009-06-10
MPD%2B%2B\Dgausschirp.m, 5243 , 2009-06-10
MPD%2B%2B\Dgausssinusoidal.m, 4763 , 2009-06-10
MPD%2B%2B\Dgenerator.m, 13003 , 2009-06-10
MPD%2B%2B\Dsinusoidal.m, 723 , 2008-12-12
MPD%2B%2B\MPD2plus.m, 3745 , 2010-07-21
MPD%2B%2B\MPDparameters.m, 8921 , 2009-06-10
MPD%2B%2B\MPDsubroutine.m, 5264 , 2009-06-10
MPD%2B%2B\calculaterange.m, 697 , 2008-12-12
MPD%2B%2B\extractatoms.m, 8073 , 2009-06-10
MPD%2B%2B\fftfilter.m, 911 , 2009-06-10
MPD%2B%2B\fineDgenerator.m, 2369 , 2009-06-10
MPD%2B%2B\maxcorrelation.m, 6488 , 2009-06-10
MPD%2B%2B\plotresults.m, 627 , 2008-12-12
MPD%2B%2B\printresults.m, 1548 , 2009-06-10
MPD%2B%2B\prunedictionary.m, 1647 , 2009-06-10
MPD%2B%2B\readme.txt, 2663 , 2010-07-21

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

PCD
这个文件用PCD算法解决压缩感知（构造一个冗余字典用于图像的修复）(Using PCD algorithm to solve compressed sensing (constructing a redundant dictionary for image restoration).)

2018-04-10 18:07:35下载

积分：1
水下目标检测算法程序1（有程序说明）
该程序包含多个水下目标检测的增强算法（暗通道、引导滤波、MSR等）(The program includes several enhancement algorithms for underwater target detection (dark channel, guided filtering, MSR, etc.).)

2018-09-17 15:08:31下载

积分：1
分割剖面及GRB分量
主要是对图像的某一部分，做一条线的剖分，然后显示这条线上所有RGB的颜色值(A section of a line is made mainly for a part of the image, and then the color value of all RGB on this line is displayed.)

2018-01-21 04:16:41下载

积分：1
IQE
说明：这是一个图像质量评估包，含有LOE、NIQE和GMSD三种图像评估方法，可以直接调用，demo程序有一些示例图片。(This is an image quality assessment package, including loe, niqe and gmsd three image assessment methods, which can be called directly. Demo program has some sample pictures.)

2021-05-15 00:30:19下载

积分：1
SF
说明：用于计算图像的空间频率和空间频率图（可看作是图像的轮廓）(Used to calculate the spatial frequency and spatial frequency graph of the image)

2020-01-06 17:47:57下载

积分：1
边缘分割程序
边缘图象分割程序，是使用vb编程，希望有帮助(edge image segmentation procedures, the use of vb programming, with the hope of helping)

2005-05-20 22:01:50下载

积分：1
License-plate-correction
车牌矫正,对于一写不够标准的车牌进行矫正，让车牌更容易被分割(Plate correction, not enough for a standard license plate write to correct, so more likely to be split plate)

2015-05-21 15:48:47下载

积分：1
calibration-for-binocular-vision-
关于大视场的视觉标定方法，相对于目前很多近距离的标定，很有借鉴作用(tisi is a paper about fast calibration for binocular vision measuring system,and it s with a large field)

2015-04-11 16:40:04下载

积分：1
Somecircuit
说明：一些电路图，包括电脑红外遥控，调速风扇，无线免提电话电路，学习型红外遥控终端，智能脉冲自行车充电器等。(Some circuit, including computer infrared remote control, fan speed, wireless hands-free telephone circuits, a learning IR remote control terminals, smart pulse bicycle chargers.)

2009-08-25 18:16:24下载

积分：1
PCA
主成分分析（ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)

2021-01-28 21:48:40下载

积分：1

696518资源总数
106155会员总数
8今日下载