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RBF-neural-network
用matlab编程，RBF用聚类方法求中心时的程序(Using matlab programming, RBF centers seeking clustering method using the procedure)
- 2013-10-12 14:15:22下载
- 积分：1
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AntiSpoofing_Features
基于matlab的声音特征提取，可用于语音识别和声纹识别(Matlab-based audio feature extraction, can be used for speech recognition voiceprint recognition)
- 2020-06-28 21:00:02下载
- 积分：1
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Matlab_For_Engineers_And_Scientists_Third_Edition
Matlab For Engineers And Scientists (Third Edition, 2008) this ebook is really good for all students who use Matlab
- 2009-05-22 13:29:33下载
- 积分：1
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LDPC_system
matlab 模拟ldpc系统，包括BER和SNR，BER和迭代次数的关系(matlab simulation ldpc system, including the BER and SNR, BER and the relationship of the number of iterations)
- 2012-12-30 12:11:34下载
- 积分：1
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votingsystemjava
Voting management system
- 2014-12-18 23:01:59下载
- 积分：1
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amvc
关于异步电机的矢量控制建模仿真（附有相关的文章）(Simulation for Asynchronous Motor Vector Control)
- 2013-05-06 19:38:28下载
- 积分：1
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MPU6050
MPU6050_Arduino 计算三轴陀螺仪的姿态变换计算其角度(MPU6050_Arduino calculate the three-axis gyroscope attitude transformation to calculate the angle)
- 2014-05-07 21:36:46下载
- 积分：1
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spectra
f-k谱的malab源代码，非常实用。在信号处理中都能用到。(f-k spectra code in matlab. it is necessary in signal processing.)
- 2020-08-25 20:18:14下载
- 积分：1
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array-signal-processing
阵列信号处理的相关程序，涉及处理方法，空间谱估计画图，处理中用到的低通滤波器等(The Matlab scripts related to array signal processing, including processing algorithms, spectral analysis and the low pass filter used in the procedure)
- 2014-08-31 16:44:12下载
- 积分：1
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Process
Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.
- 2013-01-01 20:25:49下载
- 积分：1
