time-frequency feature extraction
AMP: a new time frequency feature extraction method for intermittent time series data
... dynamic time warping (DTW) distance between individual time se- ...of time-series data is composed of 100 re- alisations of an almost periodically-driven stochastic process [3] (see Section ...100 ...
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Time Frequency Feature Extraction of Newborn EEG Seizure Using SVD Based Techniques
... a given time interval if the algorithm detects a seizure in one or more channels in that specific interval. The perfor- mance results are summarised in Table 1. The results show that the DFSV technique has the ...
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Applying Novel Time-Frequency Moments Singular Value Decomposition Method and Artificial Neural Networks for Ballistocardiography
... the feature extraction method which we call “time-frequency moments singular value decomposition ...of time series as well as frequency series (Fourier transform of the ...other ...
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Geometrical Feature Extraction from Ultrasonic Time Frequency Responses: An Application to Nondestructive Testing of Materials
... Equations (7) and (8) predict a downshift in the central frequency and a pulse narrowing due to Stochastic scattering attenuation. Similarly, and as it was expected, (9) predicts faster attenuation in depth for ...
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A Joint Time-Frequency and Matrix Decomposition Feature Extraction Methodology for Pathological Voice Classification
... voice feature extraction and ...short time spectrum analysis to the signal frames, and extract the spectral and temporal features from each ...one feature vector; however, to our knowledge, ...
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A Comparative Study of Feature Extraction Techniques for Speech Recognition System
... used feature extraction techniques like Mel frequency Cepstral Co-efficient (MFCC), Linear Predictive Coding (LPC) Analysis, Dynamic Time Wrapping (DTW), Relative Spectra Processing (RASTA) ...
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Eeg-based recognition of positive and negative emotions using for pleasant vs. Unpleasant images
... and feature extraction to obtain useful signals from ...Then, time frequency analysis is used to extract features from the acquired brain ...
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Heart Sounds Classification using Feature Extraction of Phonocardiography Signal
... over time. Stockwell’s TFR formed the basis of this work. Shannon energy was used to measure intensity and a wavelet detail was used to measure intensity in a certain frequency interval. Recurrence points ...
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Time and Frequency Domain Feature Extraction Method of Doppler Radar for Hand Gesture Based Human to Machine Interface
... CW, Frequency Modulated Continuous Wave (FMCW), and Ulta-wideband (UWB) ...[24]. Feature extraction method can be used to reduce the complexity of recognition or classification ...response ...
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Defect feature extraction using surface wave interactions and time frequency behavior
... generated with defects with angles ranging from 10º to 170º and depths from 1 to 4 mm. The dimensions were chosen such that bulk acoustic waves (BAW) would not arrive at the same time and hence interfere with the ...
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A Time-Frequency Approach to Feature Extraction for a Brain-Computer Interface with a Comparative Analysis of Performance Measures
... the time-varying signed distance (TSD) when estimated at the rate of the sampling ...specific time point t ...a time resolution as high as the sampling rate very easily, therefore the TSD is ...
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A review of developments of EEG based automatic medical support systems for epilepsy diagnosis and seizure detection
... above-mentioned feature extraction methods used for EEG signal analysis include an assumption that the underlying signal dynamic mechanism is composed of a linear superposition of complex ...EEG time ...
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Feature Extraction Methods for Real-Time Face Detection and Classification
... First the problem of the face detection in uncontrolled en- vironments has been solved using a boosting scheme based on the naive Bayes classifier. As it has been shown, this scheme achieves very low false positive ...
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Effect of Ethanol Concentration in Ultrasound Assisted Extraction of Glycyrrhizic Acid from Licorice Root
... highest extraction rate is obtained at 200 W. Extraction is increased with increase in solvent to solute ratio up to ...% extraction of GA and with the increase in the frequency of ultrasound ...
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Statistical Investigation of Muscle Fatigue using Multi-Sensors
... Various methods have been used to detect muscle fatigue. Surface electromyography (sEMG) has often been recorded to assess muscle activity. EMG shows the electrical activity of the muscle, which control by the nervous ...
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Space and time efficient data structures in texture feature extraction
... Although the SGLDM is one of the best general texture analysis methods and has been widely used for texture characterisation, the employment of the co occurrence matrices for storing the estimated second-order ...
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Detection of 2D and 3D Video Transitions Based on EEG Power
... Short Time Fourier transform (STFT) were considered to evaluate the power spectrum analysis in each EEG channel of transition or ...EEG frequency bands and brain lobes will be ...and time intervals ...
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Robustness-driven hybrid descriptor for noise-deterrent texture classification
... We start our discussion from a popular feature descriptor, Local Binary Pattern (LBP), proposed by Ojala et al. [30]. The texture operator fulfills the characteristics necessary for an ideal feature ...
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Comparative study between feature extraction methods for face recognition
... Linear discriminant analyses (LDA) is used in pattern recognition to find a linear combination of features which characterizes or separates two or more classes of objects or events. LDA attempts to express one dependent ...
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Time Comparison of Various Feature Extraction of Content Based Image Retrieval
... Quantifying texture content of an image is the most important method to image content description. There is no formal definition for texture, but it provides the measurement of properties such as energy, entropy, ...
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