تصفح حسب الموضوع "Frequency domain analysis"
السجلات المعروضة 1 -- 11 من 11
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Calibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizure in newborn EEG signals
( IEEE Computer Society , 2012 , Conference Paper)This paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by calibrating relevant time features and frequency features in the joint time-frequency domain. The ... -
Characterisation of major fault detection features and techniques for the condition-based monitoring of high-speed centrifugal blowers
( International Institute of Acoustics and Vibrations , 2016 , Conference Paper)This paper investigates and characterises the major fault detection signal features and techniques for the diagnostics of rotating element bearings and air leakage faults in high-speed centrifugal blowers. The investigation ... -
Design of a high-resolution separable-kernel quadratic TFD for improving newborn health outcomes using fetal movement detection
(2012 , Conference Paper)Prior to birth, fetus health can be monitored by the variety and scale of its movements. In addition, at birth, EEG signals are recorded from at-risk newborns. Studies have shown that both fetal movements and newborn EEGs ... -
Instantaneous frequency based newborn EEG seizure characterisation
(2012 , Article)The electroencephalogram (EEG), used to noninvasively monitor brain activity, remains the most reliable tool in the diagnosis of neonatal seizures. Due to their nonstationary and multi-component nature, newborn EEG seizures ... -
On the fairness of frequency domain resource allocation in Wireless Mesh Networks A survey
( IEEE , 2011 , Conference Paper)This article presents a concise survey of fairness-aware frequency domain resource allocation techniques in Wireless Mesh Networks (WMNs). Wireless mesh networks have emerged as a key technology for next generation application ... -
On the use of time-frequency features for detecting and classifying epileptic seizure activities in non-stationary EEG signals
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)This paper proposes new time-frequency features for detecting and classifying epileptic seizure activities in non-stationary EEG signals. These features are obtained by translating and combining the most relevant time-domain ... -
Power control and group proportional fairness for frequency domain resource allocation in L-SC-FDMA based LTE uplink
( Kluwer Academic Publishers , 2015 , Article)Resource allocation in Long Term Evaluation (LTE) uplink is challenging because of two reasons: (1) it requires contiguous resource block allocation and (2) high complexity due to per user based power allocation among ... -
Seismic detection of a sinkhole using spectral-based analysis
( Society of Exploration Geophysicists , 2014 , Conference Paper)Seismic data recorded during a survey in the vicinity of a sinkhole revealed distinct resonances at 70 Hz. Frequency domain data inversion based on exact modeling produced effective elastic parameters for the location over ... -
The effect of end bearings on the dynamic behavior of Floating-Slab tracks with discrete Slab Units
( International Institute of Acoustics and Vibrations , 2016 , Conference Paper)Floating-slab tracks are known as one of the most effective means for reducing ground-borne vibration from railways. For such tracks, the rails are sitting on the top of a slab which is supported via resilient elements ... -
Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review
( Elsevier Inc. , 2015 , Article)This paper presents a tutorial review of recent advances in the field of time-frequency (t, f) signal processing with focus on exploiting (t, f) image feature information using pattern recognition techniques for detection ... -
Time-Frequency Signal Analysis and Processing: A Comprehensive Reference
( Elsevier Inc. , 2015 , Book)Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including ...