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Spectral phase estimation based on deep neural networks for single channel speech enhancement
Majority of speech processing algorithms operate only with the spectral magnitude, leaving spectral phase unstructured and unexplored. With recent advancement in deep neural networks (DNNs), the phase processing became ...
Laser Linewidth And Phase Noise Evaluation Using Heterodyne Offline Signal Processing
(Ieee-Inst Electrical Electronics Engineers IncPiscataway, 2016)
Image Feature Detection Based on Phase Congruency by Monogenic Filters with New Noise Estimation
(Lecture Notes in Computer Science, 2020)
Determination of Phase Jumps in the Measurement of Phase Velocity of Samples Obeying a Frequency Power-Law Attenuation Coefficient Using Kramers-Kronig Relations
(2020-07-01)
Ultrasonic phase velocity spectroscopy is a very sensitive technique used in the measurement of material properties. In a phase velocity calculation, ambiguities can arise in the spectral phases, in the form of integer ...
Speed estimation for induction motor using neural networks method
(2013-07-15)
This work presents an alternative approach based on neural network method in order to estimate speed of induction motors, using the measurement of primary variables such as voltage and current. Induction motors are very ...
Speed estimation for induction motor using neural networks method
(2013-07-15)
This work presents an alternative approach based on neural network method in order to estimate speed of induction motors, using the measurement of primary variables such as voltage and current. Induction motors are very ...
Optimal differentiator filter banks for PMUs and their feasibility limits
(Institute of Electrical and Electronics Engineers, 2017-11)
In this paper, we present a very general design approach for optimal linear-phase differentiator filter banks for phasor measurement units based on convex semi-infinite optimization. A detailed presentation of the formulation ...