A simple determination approach for zero-padding of FFT method in focal spot calculation

Zhang, Bei; Xiao, Tianyu; Zhong, Jinzuomu

doi:10.1016/j.optcom.2019.06.065

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…This involves firstly removing silence, then secondly detecting the beginning and the end of the speech by using the zero-crossing rate (ZCR) [16]- [19]. The third step is making them equal in length by using zero padding [20], [21] because the training dataset can contain several signals that do not have the same length. The final step is compressing their size without losing quality to avoid the problem of system slowness by using Fourier transform [22], [23] or correlation [24], [25].…”

Section: Research Methods 21 Pre-processingmentioning

confidence: 99%

Comparative study to realize an automatic speaker recognition system

Abakarim

Abenaou

2022

IJECE

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In this research, we present an automatic speaker recognition system based on adaptive orthogonal transformations. To obtain the informative features with a minimum dimension from the input signals, we created an adaptive operator, which helped to identify the speaker’s voice in a fast and efficient manner. We test the efficiency and the performance of our method by comparing it with another approach, mel-frequency cepstral coefficients (MFCCs), which is widely used by researchers as their feature extraction method. The experimental results show the importance of creating the adaptive operator, which gives added value to the proposed approach. The performance of the system achieved 96.8% accuracy using Fourier transform as a compression method and 98.1% using Correlation as a compression method.

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Section: Research Methods 21 Pre-processingmentioning

confidence: 99%

Comparative study to realize an automatic speaker recognition system

Abakarim

Abenaou

2022

IJECE

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“…Because redundancy is introduced in signal representation, the relevant dictionary is called as redundant Fourier Dictionary (RFD). A few efficient implementation using RFD have been developed, such as Goertzel algorithm ( 17), chirp-Z transform (18) and zero padded FFT (19). Among these implementations, the combination of zero padding and FFT algorithm is usually adopted for computing redundant Fourier spectra, in which the RFD is composed of uniformly spaced spectral bins.…”

Section: Redundant Fourier Dictionary For Spectral Analysismentioning

confidence: 99%

Adaptive Sparse Detector for Suppressing Powerline Component in EEG Measurements

Chen

Zheng

Wang

et al. 2021

Front. Public Health

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Powerline interference (PLI) is a major source of interference in the acquisition of electroencephalogram (EEG) signal. Digital notch filters (DNFs) have been widely used to remove the PLI such that actual features, which are weak in energy and strongly connected to brain states, can be extracted explicitly. However, DNFs are mathematically implemented via discrete Fourier analysis, the problem of overlapping between spectral counterparts of PLI and those of EEG features is inevitable. In spite of their effectiveness, DNFs usually cause distortions on the extracted EEG features, which may lead to incorrect diagnostic results. To address this problem, we investigate an adaptive sparse detector for reducing PLI. This novel approach is proposed based on sparse representation inspired by self-adaptive machine learning. In the coding phase, an overcomplete dictionary, which consists of redundant harmonic waves with equally spaced frequencies, is employed to represent the corrupted EEG signal. A strategy based on the split augmented Lagrangian shrinkage algorithm is employed to optimize the associated representation coefficients. It is verified that spectral components related to PLI are compressed into a narrow area in the frequency domain, thus reducing overlapping with features of interest. In the decoding phase, eliminating of coefficients within the narrow band area can remove the PLI from the reconstructed signal. The sparsity of the signal in the dictionary domain is determined by the redundancy factor. A selection criteria of the redundancy factor is suggested via numerical simulations. Experiments have shown the proposed approach can ensure less distortions on actual EEG features.

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Interpret polarized focus profiles with double-slit interference

Zhang

Xiao

2021

Optik

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A simple determination approach for zero-padding of FFT method in focal spot calculation

Cited by 4 publications

References 14 publications

Comparative study to realize an automatic speaker recognition system

Comparative study to realize an automatic speaker recognition system

Adaptive Sparse Detector for Suppressing Powerline Component in EEG Measurements

Interpret polarized focus profiles with double-slit interference

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