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Astar
Astar algorithm for path finding
- 2012-02-02 19:32:08下载
- 积分：1
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runDemo
RUNDEMO Illustrates the use of BFILTER2 and CARTOON.
This demo shows typical usage for the bilateral
filter implemented by BFILTER2. The application
of bilateral filtering to image abstraction is
demonstrated by the CARTOON function.
Douglas R. Lanman, Brown University, September 2006.
dlanman@brown.edu, http://mesh.brown.edu/dlanman
- 2014-01-28 16:48:17下载
- 积分：1
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差分法雷诺方程
差分法计算雷诺方程，求解油膜压力分布，偏心率，偏位角等(Difference method is used to solve oil film pressure distribution, eccentricity, deviation angle, etc.)
- 2020-11-25 21:39:32下载
- 积分：1
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Vehicle_traffic_count
Vehicle traffic counting by the use of image processing in Matlab
- 2015-02-07 11:43:59下载
- 积分：1
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welch
说明： 本程序实现了短数据序列不同窗函数的welch功率谱估计，然后又求了他们的平均标准差，从而判断各个窗函数的优劣。只要稍作修改就能实现不同信噪比下的功率估计，同时也可以实现长数据序列的估计。(This procedure has a short data series of different welch window function power spectrum estimation, and then seek their average standard deviation, and thus to determine the merits and demerits of each window function. As long as we can with some slight modifications under different signal to noise ratio power estimate, but also the realization of a long data sequence can be estimated.)
- 2009-07-27 14:28:03下载
- 积分：1
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85745
清华大学编写的matlab教程，有用的东西(Tsinghua University, written matlab tutorials, useful things)
- 2013-03-25 22:11:49下载
- 积分：1
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SP-code-plus-paper
SOMP是压缩感知中的子空间重构算法，这里包含一个源码和一片关于SOMP的文章，供参考(compressive sensing_SOMP)
- 2014-05-20 01:48:34下载
- 积分：1
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jpeg
this is the jpeg code i try to simulate in matlab
- 2010-10-30 12:41:30下载
- 积分：1
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EMALGORITHM
In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.
- 2010-12-14 17:04:44下载
- 积分：1
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LabVIEW(1)
this code about fuzzy controller
- 2013-08-15 00:21:14下载
- 积分：1
