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digitrecognition
Source code for automatic digit recognition in matlab
- 2010-09-07 22:28:52下载
- 积分:1
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MATLAB
编写的粒子群(PSO)算法优化Kmeans聚类的MATLAB代码,MATLAB6.5/7.1测试通过,其它版本没测试。((PSO)Kmeans MATLAB6.5/7.1)
- 2010-11-20 22:33:32下载
- 积分:1
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PLL_Basic
说明: PLL basic modal in simulink
- 2019-07-04 03:39:55下载
- 积分:1
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DSP_MATLAB
关于数字信号处理的matlab程序实现代码,有很多实用的方法,如功率谱估计的算法等等,对学习数字信号处理很有帮助(On digital signal processing matlab program implementation code, there are many practical ways, such as power spectrum estimation algorithms, etc., is helpful in learning digital signal processing)
- 2011-10-03 12:14:04下载
- 积分:1
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Mortgage-and-insurance-products
运用MATLAB实现贷款按揭与保险产品模拟(A simulation of Mortgage and insurance products Coded by MATLAB)
- 2015-02-05 15:13:43下载
- 积分:1
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moving_average_v3.1
Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps.
(MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast.
MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact.
NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements.
NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)
- 2009-03-06 23:10:07下载
- 积分:1
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YHTF
Bayesian classifier experimental pattern recognition programs used in the experimental program
- 2010-10-19 01:28:47下载
- 积分:1
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buffer
说明: 在MATLAB中可以当做发射信号的缓冲,以提高系统的稳定性,从而防止数据的剧烈变化(BUFFER Buffer a signal vector into a matrix of data frames.
Y = BUFFER(X,N) partitions signal vector X into nonoverlapping data
segments (frames) of length N. Each data frame occupies one
column in the output matrix, resulting in a matrix with N rows.)
- 2011-04-08 08:57:12下载
- 积分:1
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glp
功率谱求法,代入函数后使用此方法求解功率谱。(Power Spectral Method.)
- 2012-05-18 22:37:40下载
- 积分:1
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FilterPrewit
Prewit filter for image processing
- 2009-11-15 08:18:53下载
- 积分:1