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含噪脉冲信号进行相关检测,最大信噪比的独立分量分析算法,结合PCA的尺度不变特征变换(SIFT)算法,微分方程组数值解方法,数据包传送源码程序,采用波束成形技术的BER计算,pwm整流器的建模仿真,有小波分析的盲信号处理。-Noisy pulse correlation detection signal, SNR largest independent component analysis algorithm, Combined with PCA scale invariant feature
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利用贝叶斯原理估计混合logit模型的参数,利用自然梯度算法,matlab开发工具箱中的支持向量机,用于特征降维,特征融合,相关分析等,数据包传送源码程序,构成不同频率的调制信号,关于小波的matlab复合分析。- Bayesian parameter estimation principle mixed logit model, Use of natural gradient algorithm, matlab development toolbox support vector machin
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数据包传送源码程序,采用了小波去噪的思想,是学习PCA特征提取的很好的学习资料。- Data packet transfer source program, Using wavelet denoising thought, Is a good learning materials to learn PCA feature extraction.
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小波包分析提取振动信号中的特征频率,BP神经网络用于函数拟合与模式识别,用于特征降维,特征融合,相关分析等。- Wavelet packet analysis to extract vibration signal characteristic frequency, BP neural network function fitting and pattern recognition, For feature reduction, feature fusion, correlation analy
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一些脑电数据和特征提取,提取的是小波包能量(Some EEG data and feature extraction are extracted from wavelet packet energy)
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从excel中提取数据,应用小波包分解提取特征频段能量值的matlab程序(Extracting data from excel, the wavelet packet is used to decompose the matlab program that can measure the value of the feature frequency)
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小波包分解并能提取特征频段能量的完整的matlab程序(The wavelet packet decomposes and can extract the full matlab program of feature frequency energy)
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脑机接口分类,特征提取用小波包熵,分类使用SVM分类器(Brain-computer interface classification, feature extraction using wavelet packet entropy, classification using SVM classifier)
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对故障数据的小波包分解与信号重构、小波包能量特征提取 暨 小波包分解后实现按频率大小分布重新排列,并进行降噪处理。(After wavelet packet decomposition and signal reconstruction, wavelet packet energy feature extraction and wavelet packet decomposition, the fault data can be rearranged according to the frequ
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