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white-noise-produce
白噪声产生程序，使用C++编程，适合初级系统辨识的研究人员使用(whilte noise)
- 2015-04-01 10:02:08下载
- 积分：1
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原MWC
说明： 调制宽带转换器仿真源代码，基于压缩感知理论，对多带信号进行压缩、和重构(Modulated wideband converter simulation source code)
- 2021-03-17 17:09:20下载
- 积分：1
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2
说明： 《MATLAB程序设计教程》电子教案有PPT和源代码。均为M文件(" MATLAB Programming Guide" e-lesson plans-2660. PPT and the source code there. Are M documents)
- 2009-06-13 17:31:59下载
- 积分：1
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BPSK
BPSK simulink file which coantain transmitter and receiver. Binary Phase Shift keying
- 2009-10-01 01:46:56下载
- 积分：1
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半监督分类算法
半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)
- 2021-04-12 11:28:57下载
- 积分：1
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几种改进的路径规划算法
说明： matlab编写的基于人工势场法的路径规划算法，可运行(The path planning algorithm written by Matlab can run)
- 2019-05-07 18:46:20下载
- 积分：1
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SNR_and_MSE
说明： mmse与snr的算法仿真，最小均方误差和最大信噪比，获得自适应算法的最优权，实现抗干扰(mmse snr algorithm and simulation, the minimum mean square error and maximum signal to noise ratio, the right of access to optimal adaptive algorithm to achieve anti-jamming)
- 2010-03-31 22:44:19下载
- 积分：1
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Computational-Electromagnetics
计算电磁学，E文，适用于电磁场，微波，射频等专业，简单易懂且实用，有MATLAB例子，不容错过(Computational electromagnetics, applies to electromagnetic fields, microwave, radio frequency, and other professional, easy to understand and practical, MATLAB examples, not to be missed)
- 2014-02-06 02:37:15下载
- 积分：1
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toolbox_fast_marching
The method mainly consists in considering a reference normal ECG segment and input ECG (unknown behavior) segment.
Each segment of the input ECG T is compared to the reference segment using SEA.
The SEA method outputs a measure in the range [0..1] in terms of the correlation factor that reflects the degree of similarity between the reference and the segment under analysis. Based on this measure, the whole segment is classified as normal or abnormal.
A user specified threshold value on the correlation factor c is used for decision
- 2011-11-10 13:11:39下载
- 积分：1
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Region-Covariance
利用区域协方差，找出两幅图相似的地方，准确度很高(Use of regional covariance identify the similarities of the two images, high accuracy)
- 2013-04-24 22:31:03下载
- 积分：1
