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说明: matlab中的关于综合问题实验方面的例子和程序(matlab problem in experiments on the synthesis examples and procedures)
- 2010-10-14 18:50:34下载
- 积分:1
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attackjsteg
抗jsteg的隐写分析,jsteg jpeg图像隐写的重要方法之一。(Anti-jsteg of steganalysis, jsteg jpeg image steganography one of the important ways.)
- 2009-05-24 10:14:30下载
- 积分:1
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myperspectivetransformation
利用单应点进行透视反变换,matlab实现(Perspective inverse transform, matlab achieve)
- 2013-09-21 09:09:48下载
- 积分:1
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homework1
清华大学信号处理原理课程第一次实验,内容为产生固定波形以及声波的叠加(Signal processing theory, Tsinghua course first experiment, the content and the acoustic waveform to generate a fixed superposition)
- 2013-12-06 08:40:32下载
- 积分:1
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SLM_Papr_V4
“SLM_Papr_V4.m”,SLM方法(V=4)PAPR的互补累积分布函数(CCDF)曲线。(A way to reduce the high PAPR of OFDM system-SLM)
- 2010-07-17 15:03:30下载
- 积分:1
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EEGfilter
This Program is an M-file to implement a low-pass filter and notch filter (50Hz) on EEG channels.
- 2009-04-27 15:35:24下载
- 积分:1
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《神经网络理论与Matlab7实现》下载资料
神经网络理论与Matlab7电子工业出版社原代码(neural network theory and Matlab7 Electronic Industry Publishing House source)
- 2005-08-16 14:36:48下载
- 积分:1
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newton
solution to nonlinear equations useing newton methode
- 2011-07-07 13:31:21下载
- 积分:1
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gender-classification-experiments
这是用身高体重数据进行性别分类的实验。
用最小错误率贝叶斯分类器决策时,首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女,然后再逐一与已知性别的数据比较,就可以得到错误率的统计。然后改变先验概率,重复上面的过程,观察数据结果的变化。
用最小风险贝叶斯分类器决策时,首先求出用最小错误率贝叶斯分类器得到的条件概率;然后根据人为给定的决策表,根据公式算出条件风险;然后逐一比较条件风险,找出使条件风险最小的决策(也就是分类)。最后用分类得到的结果逐一比较已经知道的原始数据,统计处错误率。
(This is the height and weight data for gender classification experiment.
With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data .
Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate .
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- 2012-02-02 20:40:46下载
- 积分:1
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WaterMark
数字水印,用MATLAB制作的,还有一些叙述情况(Digital Watermarking using MATLAB produced, and some described the situation)
- 2007-07-12 09:07:32下载
- 积分:1