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Tunable-Q Wavelet Transform Based Multivariate Sub-Band Fuzzy Entropy with Application to Focal EEG Signal Analysis

机译：基于Tunable-Q小波变换的多元子带模糊熵及其在局灶性脑电信号分析中的应用

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Abhijit Bhattacharyya; Ram Bilas Pachori; U. Rajendra Acharya;
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年度 2017
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1. Tunable-Q Wavelet Transform Based Multivariate Sub-Band Fuzzy Entropy with Application to Focal EEG Signal Analysis [J] . Abhijit Bhattacharyya, Ram Bilas Pachori, U. Rajendra Acharya Entropy . 2017,第3期

机译：基于可调Q小波变换的多元子带模糊熵在脑电信号分析中的应用
2. Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals [J] . Abhijit Bhattacharyya, Ram Bilas Pachori, Abhay Upadhyay, Applied Sciences . 2017,第4期

机译：基于可调Q小波变换的多尺度熵测度用于癫痫脑电信号的自动分类
3. Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals [J] . Abhijit Bhattacharyya, Ram Bilas Pachori, Abhay Upadhyay, Applied Sciences . 2017,第4期

机译：基于可调Q小波变换的多尺度熵测度用于癫痫脑电信号的自动分类
4. Constrained Tunable-Q wavelet Transform based Analysis of Cardiac Sound Signals [C] . Shivnarayan Patidar, Ram Bilas Pachori American Applied Science Research Institute Conference on Intelligent Systems and Control . 2014

机译：基于受限的CONABLY-Q小波变换的心声信号分析
5. Wavelet transform approach for adaptive filtering with application to fuzzy neural network based speech recognition. [D] . Jung, Byung-Chul. 2001

机译：小波变换的自适应滤波方法及其在基于模糊神经网络的语音识别中的应用。
6. Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals [O] . Rajesh Kumar Tripathy, Samit Kumar Ghosh, Pranjali Gajbhiye, 2020

机译：使用基于多变量投影的固定边界经验小波变换和从多机组EEG信号提取的自动睡眠阶段分类系统的开发
7. Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals [O] . Rajesh Kumar Tripathy, Samit Kumar Ghosh, Pranjali Gajbhiye, 2020

机译：使用基于多变量投影的固定边界经验小波变换和从多机组EEG信号提取的自动睡眠阶段分类系统的开发

Tunable-Q Wavelet Transform Based Multivariate Sub-Band Fuzzy Entropy with Application to Focal EEG Signal Analysis

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