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CRC.Press.MatLab.Primer.Seventh.Edition
A very popular book on MATLAB
- 2011-05-31 04:38:41下载
- 积分:1
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MUSIC_based_on_UCA_S3_1
均匀圆阵的二维music算法,有两个信号,采用meshgrid画图(Uniform circular array music algorithm, there are two signals, using meshgrid drawing)
- 2015-05-25 10:44:04下载
- 积分:1
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1CSin_OMP
利用压缩传感技术对1-D信号进行处理,1-D信号压缩传感的实现(Compressed sensing technology using 1-D ,1-D signal processing implementation of compressed sensing signal)
- 2011-01-10 10:49:17下载
- 积分:1
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DCSeries_MotorWM
DC SERIES MOTOR CONTROL
- 2012-08-01 22:37:41下载
- 积分:1
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lms_demo
LMS自适应滤波器算法的matlab程序,其中包含利用LMS算法来识别线性噪声系统的实验(LMS adaptive filter algorithm in Matlab procedures, which contains the use of LMS algorithm to identify the linear system of experimental noise)
- 2007-03-20 21:26:43下载
- 积分:1
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dft
学习matlab的傅里叶变化小程序,没问题额(Fourier transform of small learning matlab program, the amount is no problem)
- 2011-09-27 08:31:13下载
- 积分:1
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LS
说明: This file contains Least Square method program which is one of en bloc approaches to
identifying a system. The target is calculating parameter vector of a system
- 2013-12-23 03:22:14下载
- 积分:1
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graytoRGB
Matlab实现灰度图像转换为RGB图像(grayscal—RGB base on Matlab)
- 2009-05-05 17:29:23下载
- 积分:1
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DBSCAN
BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, Birch only requires a single scan of the database. In addition, Birch is recognized[1] as the, "first clustering algorithm proposed in the database area to handle noise (data points that are not part of the underlying pattern) effectively".
- 2011-04-20 15:56:43下载
- 积分:1
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multiplier-method
关于最优化算法的matlab仿真程序,乘子法。(Optimization algorithm matlab simulation program, the multiplier method.)
- 2013-05-20 00:08:23下载
- 积分:1