Description: matlab实现信号分类，根据信号的相关性，获取信号类别，自动进行信号分类-matlab realize signal classification, in accordance with the correlation signal to obtain the signal type, automatic signal classification Platform: |
Size: 19456 |
Author:李小 |
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Description: The authors present an automatic classification of different power quality (PQ) disturbances using
wavelet packet transform (WPT) and fuzzy k-nearest neighbour (FkNN) based classifier. The training data
samples are generated using parametric models of the PQ disturbances. The features are extracted using
some of the statistical measures on the WPT coefficients of the disturbance signal when decomposed upto
the fourth level. These features are given to the fuzzy k-NN for effective classification. Platform: |
Size: 580608 |
Author:gk |
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Description: 文中研究了6种常用数字调制信号识别的特征参数集，并采用决策树判别方法进行分类识别。仿真结果表明，在SNR≥5dB时，识别正确率在99 以上，且当SNR≥20dB时，识别正确率达到100 。其特点是，算法简单，识别正确率高，达到了自动分类识别的目的，并有利于实现识别的实时化。-In this paper, we study the set of characteristic parameters of the six kinds of commonly used digital modulation signal recognition, and decision tree method for classification. The simulation results show that SNR 鈮� 5dB, the correct rate more than 99 , and when SNR 鈮� 20dB, the correct rate of 100 . Which is characterized by simple algorithm to identify the correct rate, to achieve the purpose of automatic classification and recognition, and help to identify real-time. Platform: |
Size: 83968 |
Author:miller |
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Description: 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. Platform: |
Size: 1024 |
Author:Fresnel |
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Description: MATLAB2008版，建立并训练Bp神经网络，实现对四种信号的分类识别功能,这里省掉了四种信号数据的产生，自己取得样本后使用BP神经网络进行训练并自动分类，样本一部分作为训练用，一部分作为检验用，输入为样本的四个特征，特征后面对应输出以便计算正确率，识别率很高-MATLAB2008 version, the establishment and training of Bp neural network, four signal classification and recognition capabilities, saved four signal data generated, secured a sample using BP neural network training and automatic classification of samples as part of the training , as part of the inspection, four characteristics of the input for the sample feature behind the corresponding output in order to calculate the correct rate, a high recognition rate Platform: |
Size: 1024 |
Author:李江乔 |
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Description: 不同信号和不同信道影响下的自动调制分类的文章。-performance optimization of automatic modulation classification for different signal and channel types Platform: |
Size: 656384 |
Author:林孟渊 |
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Description: 利用FFT求一个信号的谱相关函数，在论文Automatic Modulation Classification for Cognitive Radios Using Cyclic中有提到-Seeking a signal using FFT spectral correlation function, the paper Automatic Modulation Classification for Cognitive Radios Using Cyclic mentioned in Platform: |
Size: 1024 |
Author:Fuck PUDN |
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Description: 外文资料里面的源代码，进行逐步线性回归，在matlab环境中自动识别连通区域的大小,对于初学matlab的同学会有帮助，可以实现模式识别领域的数据的分类及回归，分析了该信号的时域、频域、倒谱，循环谱等。-Foreign materials inside the source code, Stepwise linear regression, Automatic identification in the matlab environment the size of the connected area, Matlab for beginner students will help, You can achieve data classification and regression pattern recognition, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Platform: |
Size: 5120 |
Author:pdamsa |
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Description: 信号处理中的旋转不变子空间法，使用matlab实现智能预测控制算法，Relief计算分类权重，在matlab环境中自动识别连通区域的大小,基于互功率谱的时延估计，能量熵的计算。-Signal Processing ESPRIT method, Use matlab intelligent predictive control algorithm, Relief computing classification weight, Automatic identification in the matlab environment the size of the connected area, Based on the time delay estimation of power spectrum, Energy entropy calculation. Platform: |
Size: 5120 |
Author:pstftc |
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Description: 研究生时的现代信号处理的作业，在matlab环境中自动识别连通区域的大小,仿真图是速度、距离、幅度三维图像，粒子图像分割及匹配均为自行编制的子例程，一个很有用的程序，可以实现模式识别领域的数据的分类及回归。- Modern signal processing jobs when the graduate, Automatic identification in the matlab environment the size of the connected area, FIG simulation speed, distance, amplitude three-dimensional image, Particle image segmentation and matching subroutines themselves are prepared, A very useful program, You can achieve data classification and regression pattern recognition. Platform: |
Size: 6144 |
Author:snkzas |
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Description: A two-stage mechanism of ECG classification using Gaussian
mixture model(An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, preprocessing that includes re-sampling, QRS detection, linear prediction (LP) model estimation, residual error signal computation and principal component analysis (PCA) has been used for registration of linearly independent ECG features.) Platform: |
Size: 487424 |
Author:vidi
|
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