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pca-xiugai
一个修改后的PCA进行人脸识别的Matlab代码(A revised PCA for Face Recognition Matlab code)
- 2009-05-29 10:41:53下载
- 积分：1
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yidongchuanbohuanjin
说明： 杨大成的移动传播环境，包含大尺度衰落信道，小尺度衰落信道的详细表述。还有一些建模方法。(Yang Dacheng mobile communication environment, including large-scale fading, small-scale fading detailed presentation. Some modeling.)
- 2010-04-15 11:34:29下载
- 积分：1
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test_word_filter
关键字查找和过滤 WordFilter applyFilter (word filter demo)
- 2014-09-17 16:25:50下载
- 积分：1
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kftry
卡尔曼滤波算法是一种状态估计算法，它是最小二乘法的特殊形式，所以，卡尔曼滤波算法也能做系统辨识，这个代码是自己写的，基于卡尔曼滤波算法的系统辨识，希望对大家有用(Kalman filter algorithm is a state estimation algorithm, which is a special form of least squares method, so the Kalman filter algorithm can do system identification, this code is to write their own, based on Kalman filtering system identification algorithm, we want to useful)
- 2013-06-20 15:59:02下载
- 积分：1
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FASTICA
说明： 在盲信号处理过程中，通过该算法实现信号分离(Blind source seperation)
- 2010-03-26 21:06:12下载
- 积分：1
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a_jpeg_compression_matlab
It shows what a jpeg compression is all about.
the function implements the DCT transform, using a matrix operator.
note that matlab has a function for the DCT and iDCT transforms
that might be more efficient.
(It shows what a jpeg compression is all abou t. the function implements the DCT transform. using a matrix operator. note that Matlab has a f unction for the DCT and iDCT transforms that mig ht be more efficient.)
- 2007-05-31 16:01:34下载
- 积分：1
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fdtd2D
通过是与有限差分法，使用matalb模拟二维光子晶体(simulation of EM wave in two-dimensional photonic crystals using fdtd)
- 2014-10-31 13:10:42下载
- 积分：1
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officeassign
用最优化方法求解优化问题的极大值或极小值问题的方法(Maximum or minimum value of the issue of method optimization method for solving optimization problems)
- 2015-01-10 22:35:23下载
- 积分：1
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Steepest.Descent.Method.matlab
matlab经典算法的程序
最速下降梯度法matlab程序(classical algorithm matlab procedure steepest descent gradient method matlab program)
- 2008-05-24 10:33:30下载
- 积分：1
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multiScale_KalmanFilter
用多尺度卡尔曼滤波法，对信号参数进行识别估计。高频信号和低频信号识别结合起来改进了算法识别的精确度和准确度。(It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. The model parameters are estimated by expectation maximization (EM) algorithm. In this implementation, we considered two time series with different frequencies. The messages between high and low frequency signals are combined to improve the estimation and prediction.)
- 2013-01-07 20:17:40下载
- 积分：1
