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Now showing items 11-20 of 22
Time-Frequency Distributions Based on Compact Support Kernels: Properties and Performance Evaluation
(
IEEE
, 2012 , Article)
This paper presents two new time-frequency distributions
(TFDs) based on kernels with compact support (KCS)
namely the separable (CB) (SCB) and the polynomial CB (PCB)
TFDs. The implementation of this family of TFDs ...
A Resolver Angle Estimator Based on Its Excitation Signal
(
IEEE
, 2009 , Article)
A resolver generates a pair of signals proportional to the sine and cosine of the angular position of its shaft. A new low-cost method for converting the amplitudes of these sine/cosine transducer signals into a measure ...
Accurate and efficient implementation of the time–frequency matched filter
(
Institution of Engineering and Technology
, 2010 , Article)
The discrete time-frequency matched filter should replicate the continuoustime-frequency matched filter, but the methods differ. To avoid aliasing, thediscrete method transforms the real-valued signal to the complex-valued ...
Fuzzy system applications for identification of weak buses in power systems
(
King Fahd University of Petroleum and Minerals
, 2002 , Article)
In this paper a simple new algorit hm for identifying the weak buses in a power system for voltage stability study is presented. The proposed algorithm is based on fuzzy set theory. Two membership functions, one for voltage ...
Generalized dynamic spectrum access: An order statistics design perspective
(
Elsevier GmbH
, 2008 , Article)
A new adaptive multiple access scheme based on the theory of order statistics is introduced. The proposed algorithm employs a semi-random allocation mechanism that limits subchannel selection to the highest-gain subchannels. ...
Fast and memory-efficient algorithms for computing quadratic time–frequency distributions
(
Elsevier Inc
, 2013 , Article)
Algorithms for computing time–frequency distributions (TFDs) limit computation time by reducing numerical operations. But these fast algorithms do not reduce the memory load. This article presents four TFD algorithms to ...
A nonparametric feature for neonatal EEG seizure detection based on a representation of pseudo-periodicity
(
Elsevier Ltd
, 2011 , Article)
Automated methods of neonatal EEG seizure detection attempt to highlight the evolving, stereotypical, pseudo-periodic, nature of EEG seizure while rejecting the nonstationary, modulated, coloured stochastic background in ...
Editorial: Time-Frequency Approach to Radar Detection, Imaging, and Classification
(
Institution of Engineering and Technology
, 2010 , Article)
One of the central problems in exploiting the radar data is the analysis of atime series. The problem at hand is how to extract the information present in the data and use it to its full potential. Traditionally, radar ...
Enabling Open Innovation in Digital Startups through the Incubation Program-A Case of Qatar
(
MDPI
, 2022 , Article)
Researchers have studied open innovation by focusing primarily on big organizations. With digitization, the adoption of open innovation has become widespread, as there is broader access to cheaper and better information ...
Deep learning techniques for liver and liver tumor segmentation: A review
(
Elsevier
, 2022 , Article)
Liver and liver tumor segmentation from 3D volumetric images has been an active research area in the medical image processing domain for the last few decades. The existence of other organs such as the heart, spleen, stomach, ...