Low-Complexity Welch Power Spectral Density Computation

Parhi, Keshab K.; Ayinala, Manohar

doi:10.1109/tcsi.2013.2264711

Cited by 94 publications

(42 citation statements)

References 16 publications

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“…The high resolution sub-Nyquist rate path samples the Fourier domain sparse signal through the measurement matrix Φ, and maps it to vector . The low-resolution Nyquist rate path detects most non-zero coefficients of the spectrum with the computationally simple Periodogram algorithm [16,17] for removal from the CS recovery process. As a result, the reconstruction problem is transformed into solving an overdetermined system with a few unknowns.…”

Section: Random Clockmentioning

confidence: 99%

ADC-Assisted Random Sampler Architecture for Efficient Sparse Signal Acquisition

Safarpour

Inanlou

Charmi

et al. 2018

IEEE Trans. VLSI Syst.

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Section: Random Clockmentioning

confidence: 99%

ADC-Assisted Random Sampler Architecture for Efficient Sparse Signal Acquisition

Safarpour

Inanlou

Charmi

et al. 2018

IEEE Trans. VLSI Syst.

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“…Algoritma Power Spektral Density menggunakan metode Welch adalah sebagai berikut [17]: 1) Sinyal input [ ] yang dibagi menjadi sebanyak overlapping segmen menjadi (2):…”

Section: Power Spectral Densityunclassified

Klasifikasi Eeg Epilepsi Menggunakan Singular Spectrum Analysis, Power Spectral Density Dan Convolution Neural Network

Aji

Tjandrasa

2017

JUTI

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ABSTRAK Epilepsi merupakan gangguan sistem syaraf otak manusia dan menyebabkan berbagai reaksi terhadap tubuh manusia. Epilepsi dapat dideteksi dengan menggunakan Electroencephalogram (EEG). ABSTRACT Epilepsy is a disorder of the human brain and causes a variety reactions to the human body. Epilepsy can be detected using Electroencephalogram (EEG). Visual analysis can't be done routinely, automatic computer system is needed. Automatic system for EEG detection consists of feature extraction and classification. Power Spectral Density (PSD) is feature extraction methods that can bring up the EEG characteristics. In the classification process, Convolution

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“…Welch method is one of the popular methods to estimate the PSD. Welch methods divide the signal into multiple segments taking modified periodogram of these segments and averaging these modifies periodogram [12].…”

Section: A Frequency Domain Analysismentioning

confidence: 99%

To study non linear features in circadian heart rate variability amongst healthy subjects

Tajane¹,

Pitale²,

Phadke

et al. 2014

2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

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ECG signal is used for diagnosis of ailments of heart. HRV is used as a predictive and prognostic marker of autonomic dis-functioning.ANS is known to influence heart and any dis functioning of this system leads to cardiac disorders. ANS has endogenous circadian rhythm. Circadian rhythms are responsible for physical, mental and behavioral changes that follow a roughly 24-hour cycle. Previous studies have shown large inter and intra individual differences in HRV which has lead to difficulties in establishing standard norms. Therefore the aim of our study is to establish a brief protocol for HRV analysis where we will be able to extract features in shorter duration of recording, representative of 24 hour fluctuations in HRV. In this paper we have studied different linear as well as non-linear techniques to analyze circadian HRV. 24 hour ECG recording of 15 subjects using Minimum Activity Protocol subjected for HRV analysis.

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Low-Complexity Welch Power Spectral Density Computation

Cited by 94 publications

References 16 publications

ADC-Assisted Random Sampler Architecture for Efficient Sparse Signal Acquisition

ADC-Assisted Random Sampler Architecture for Efficient Sparse Signal Acquisition

Klasifikasi Eeg Epilepsi Menggunakan Singular Spectrum Analysis, Power Spectral Density Dan Convolution Neural Network

To study non linear features in circadian heart rate variability amongst healthy subjects

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