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chap8_2
干扰信号的灰色估计仿真程序及分析,属于灰色估计理论基础(Gray estimated interference signal simulation program and the analysis, estimation theory is the basis of gray)
- 2009-05-27 16:17:46下载
- 积分:1
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ThreeBp
说明: 三层bp网络实现三种模式识别,没有使用matlab工具箱,完全自己手写(Three modes of three bp networks to identify, do not use matlab toolbox, completely on my own handwriting)
- 2011-04-13 12:00:57下载
- 积分:1
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MATLAB+Books+-+Digital+Signal+Processing+-+Ingle+
E-book - Digital Signal Processing - Proakis & Ingle.
- 2010-05-08 08:05:54下载
- 积分:1
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mit.tar
这个市一个ns环境下的leach算法!大家可以多下在啊!我想要一个matlab环境下的概算法!(1 ns of the city under the leach algorithm! We can do more in ah! I want an environment of Matlab budget for the law!)
- 2006-10-12 09:05:11下载
- 积分:1
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Calculator
example caculartor guide using matlab
- 2011-07-19 22:32:31下载
- 积分:1
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MARKOV
隐马尔科夫过程预测编码,对于使用或研究隐马尔科夫模型的人会有帮助。(Hidden Markov process predictive coding, for the use of hidden Markov models or research who will help.)
- 2013-10-14 22:17:02下载
- 积分:1
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Mini-Sumo-3.2-Line-Sensor-Read
This code for Embedded for Sumo Bot (sensor)
- 2015-03-22 13:23:16下载
- 积分:1
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solar-cell
about maximum peak power tracking
- 2014-01-23 13:12:27下载
- 积分:1
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PCAandLDA
用pca 和 lda 实现数据的降维,加快机器的特征提取的速度。(Pca and lda of data with dimension reduction, feature extraction to speed up the speed of the machine.)
- 2010-09-05 22:40:41下载
- 积分:1
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nccmp
比较两个netcdf文件
1。通过添加内部ind2sub1函数remove函数依赖第三方
2。格式化文本(Description NCCMP compares two netcdf files and prints the differences. This function is useful for testing mathematical forecasting or prediction models.
USAGE:
NCCMP(ncfile1,ncfile2)
NCCMP(ncfile1,ncfile2,tolerance,forceCompare)
INPUT:
ncfile1- name of the NetCDF file to compare
ncfile2- name of the NetCDF file to compare
tolerance- Compare numeric data using a tolerance threshold
forceCompare- if false, exit when first difference is found
true: continues to process all variables
EXAMPLES:
nccmp( old.nc , new.nc ,0.000001)
nccmp( old.nc , new.nc ,[],true)
FEATURES:
1. Print the differences and their locations
2. Exits when first difference is found or optionally continues to process all variables
3. User defined tolerance threshold to compare the variables
TO DO:
1. Specific variable inclusion or exclusion
2. Specific attribute inclusion or exclusion
3. Option to ignore the history attribute
4. Ignore difference between v)
- 2014-09-16 13:34:49下载
- 积分:1