[HTML][HTML] Signal processing challenges for digital holographic video display systems
Holography is considered to be the ultimate display technology since it can account for all
human visual cues such as stereopsis and eye focusing. Aside from hardware constraints for …
human visual cues such as stereopsis and eye focusing. Aside from hardware constraints for …
Image phase shift invariance based cloud motion displacement vector calculation method for ultra-short-term solar PV power forecasting
F Wang, Z Zhen, C Liu, Z Mi, BM Hodge… - Energy conversion and …, 2018 - Elsevier
Irradiance received on the earth's surface is the main factor that affects the output power of
solar PV plants, and is chiefly determined by the cloud distribution seen in a ground-based …
solar PV plants, and is chiefly determined by the cloud distribution seen in a ground-based …
Advances in phase-aware signal processing in speech communication
During the past three decades, the issue of processing spectral phase has been largely
neglected in speech applications. There is no doubt that the interest of speech processing …
neglected in speech applications. There is no doubt that the interest of speech processing …
[HTML][HTML] A survey on minutiae-based palmprint feature representations, and a full analysis of palmprint feature representation role in latent identification performance
Latent palmprint identification is a crucial element for both law enforcement and integrated
automated fingerprint identification systems because approximately 30% of the imprints …
automated fingerprint identification systems because approximately 30% of the imprints …
Fourier transform-based scalable image quality measure
We present a new image quality assessment algorithm based on the phase and magnitude
of the 2-D discrete Fourier transform. The basic idea is to compare the phase and magnitude …
of the 2-D discrete Fourier transform. The basic idea is to compare the phase and magnitude …
[PDF][PDF] A survey of manifold-based learning methods
We review the ideas, algorithms, and numerical performance of manifold-based machine
learning and dimension reduction methods. The representative methods include locally …
learning and dimension reduction methods. The representative methods include locally …
50 years of FFT algorithms and applications
The fast Fourier transform (FFT) algorithm was developed by Cooley and Tukey in 1965. It
could reduce the computational complexity of discrete Fourier transform significantly from O …
could reduce the computational complexity of discrete Fourier transform significantly from O …
Monocular deprivation of Fourier phase information boosts the deprived eye's dominance during interocular competition but not interocular phase combination
Ocular dominance has been extensively studied, often with the goal to understand
neuroplasticity, which is a key characteristic within the critical period. Recent work on …
neuroplasticity, which is a key characteristic within the critical period. Recent work on …
From sparse coding significance to perceptual quality: A new approach for image quality assessment
An increasing number of image processing applications require an automated quality
prediction of the visual content as perceived by humans. Since, sparse coding is suggested …
prediction of the visual content as perceived by humans. Since, sparse coding is suggested …
A secure perceptual hash algorithm for image content authentication
Perceptual hashing is a promising solution to image content authentication. However,
conventional image hash algorithms only offer a limited authentication level for the …
conventional image hash algorithms only offer a limited authentication level for the …