Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Shiv Dutt Joshi"'
Publikováno v:
Franklin Open, Vol 8, Iss , Pp 100155- (2024)
While Fourier theory remains a cornerstone for analyzing and interpreting the spectral content of diverse signals, its limitations often surface in practical applications. Notably, popular signals like sinusoids, Dirac deltas, signums, and unit steps
Externí odkaz:
https://doaj.org/article/08be250ee2064b2b92c30fdf19fda384
Publikováno v:
IEEE Access, Vol 11, Pp 124198-124212 (2023)
An accurate mathematical ECG model helps comprehend the heart’s workings, which in turn helps identify various heart-related abnormalities. A typical ECG waveform consists of recurrent QRS complexes at almost regular intervals. In the most general
Externí odkaz:
https://doaj.org/article/09bf73c483124f0a91bf94a4113214fd
Publikováno v:
IEEE Access, Vol 10, Pp 121287-121300 (2022)
Quantifying a system’s time-invariance deviation may reveal how it represents and processes the signals. The main objective of this paper is to quantify the departure of a time-varying system from being time-invariant. In particular, the paper quan
Externí odkaz:
https://doaj.org/article/5e2b9551e8bf4330a5515c9ee4667b11
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Time-varying neurophysiological activity has been classically explored using correlation based sliding window analysis. However, this method employs only lower order statistics to track dynamic functional connectivity of the brain. We introd
Externí odkaz:
https://doaj.org/article/918a195f3c7b4919a03320b284376b9a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1146-1157 (2021)
The fusion of the spatial characteristics, of visual image, and spectral aspects, of infrared image, is of immense practical importance. In this work, we propose a novel spatially constrained adversarial autoencoder that extracts deep features from t
Externí odkaz:
https://doaj.org/article/d427bf346ee845e58f9c8f6fa542bb5e
Publikováno v:
IEEE Access, Vol 8, Pp 60906-60917 (2020)
Along with the classical applications like graph partitioning, graph visualization, etc., graph coarsening has been recently applied in graph convolutional neural network (GCNN) architectures to perform the pooling operation in the graph domain. In t
Externí odkaz:
https://doaj.org/article/2f9481da44e541d2a2aad862048ce17c
Publikováno v:
Journal of Evidence-Based Integrative Medicine, Vol 25 (2020)
During recent decades, stress-related neuropsychiatric disorders such as anxiety, depression, chronic tension headache, and migraine have established their stronghold in the lives of a vast number of people worldwide. In order to address this global
Externí odkaz:
https://doaj.org/article/53beb3f3c17e42cf8b492964cb7f4f3b
Publikováno v:
Perception. 52:371-384
How humans recognise faces and objects effortlessly, has become a great point of interest. To understand the underlying process, one of the approaches is to study the facial features, in particular ordinal contrast relations around the eye region, wh
Autor:
Snigdha Bhagat, Shiv Dutt Joshi
Publikováno v:
Circuits, Systems, and Signal Processing. 42:2169-2192
Publikováno v:
IEEE Signal Processing Magazine. 39:77-84