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APT_decode
MATLAB program for APT image decoding. Use of the envelope detection. Processing of a WAV file, creating image
- 2011-01-21 06:37:46下载
- 积分：1
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Digital-filtering-experiment
由设计要求可知，wp<=0.2π，允许误差幅度小于1dB，ws>=0.3π内衰减应大于15dB。为了验证数字滤波器的实际滤波功能，设计程序时，把输入序列定为验证函数x（t）=4sin（100πt）以及x（t）=4sin（200πt）和x（t）=4sin（400πt）。又因为Ts=1.25ms，T=80ms，故采样点为64，即N=64，所以当M=6，可以同时调试并验证程序的滤波功能。(Seen by the design requirements, wp < = 0.2π, allow a margin of error of less than 1dB, ws> = 0.3π within attenuation greater than 15dB. In order to verify the actual filtering function of the digital filter design program, the input sequence as validation function x (t) = 4sin (100πt) and x (t) = 4sin (200πt) and x (t) = 4sin (400πt) . And because Ts = 1.25ms, T = 80ms, so the sampling points is 64, that is N = 64, so when M = 6, can debug and validate filtering program.)
- 2014-12-24 09:34:43下载
- 积分：1
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clusters
Clustering technique
- 2013-05-16 11:20:10下载
- 积分：1
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Circuit-Analysis-I-with-MATLAB-Computing-and-Simu
Circuit Analysis I with MATLAB Computing and Simulink - SimPowerSystems Modeling Mar 2009
- 2012-02-06 23:34:24下载
- 积分：1
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danshenjingyuan
说明： 用于单神经元控制的pid整定，还加带其他两种普通PID整定的对比试验(PID tuning for single neuron control)
- 2020-06-17 21:49:37下载
- 积分：1
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fdSVM
基于SVM的人脸识别系统，matlab实现，google code 最新代码。(face recgonition based on SVM,impleted on Matlab .The code is downloaded from google this days.)
- 2013-01-17 11:37:22下载
- 积分：1
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Doc2
this is new approach for fuel cell control.it is really helpfull.
- 2013-09-09 17:16:59下载
- 积分：1
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HaarWare
基于哈小波的图像稀疏分解与重构。并进行MATLAB仿真。图像为经典lena图像(Image sparse decomposition and reconstruction based on wavelet. And the MATLAB simulation. The classic image to Lena image)
- 2015-04-08 12:05:05下载
- 积分：1
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SQP
SQP matlab优化源程序SQP方法(SQP method)
- 2014-02-17 14:49:46下载
- 积分：1
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半监督分类算法
说明： 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
