Search Results - "Ali Khan, Nabeel"
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Sparsity-Aware Adaptive Directional Time–Frequency Distribution for Source Localization
Published in Circuits, systems, and signal processing (01-03-2018)“…Multi-component characteristics and missing data samples introduce artifacts and cross-terms in quadratic time–frequency distributions, thus affecting their…”
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Reconstruction of Non-stationary Signals with Missing Samples Using Time–frequency Filtering
Published in Circuits, systems, and signal processing (01-08-2018)“…This study proposes a new time–frequency (TF) method for the recovery of missing samples from multicomponent signals. This is achieved by a combination of a…”
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Spike Detection Based on the Adaptive Time–Frequency Analysis
Published in Circuits, systems, and signal processing (01-11-2020)“…This paper presents a novel spike detection algorithm in nonstationary signals using a time–frequency ( t – f ) approach. The proposed algorithm exploits the…”
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Automatic seizure detection using a highly adaptive directional time–frequency distribution
Published in Multidimensional systems and signal processing (01-10-2018)“…Electroencephalogram (EEG) signals can be used by a proficient neurologist to detect the presence of seizure activity inside the brain. Automated detection of…”
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Direction of arrival estimation using adaptive directional time-frequency distributions
Published in Multidimensional systems and signal processing (01-04-2018)“…Time-frequency distributions (TFDs) allow direction of arrival (DOA) estimation algorithms to be used in scenarios when the total number of sources are more…”
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Principles of time–frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection
Published in Pattern recognition (01-03-2015)“…This paper considers the general problem of detecting change in non-stationary signals using features observed in the time–frequency (t,f) domain, obtained…”
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A new feature for the classification of non-stationary signals based on the direction of signal energy in the time–frequency domain
Published in Computers in biology and medicine (01-09-2018)“…The detection of seizure activity in electroencephalogram (EEG) segments is very important for the classification and localization of epileptic seizures. The…”
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Modified Time-Frequency Marginal Features for Detection of Seizures in Newborns
Published in Sensors (Basel, Switzerland) (15-04-2022)“…The timely detection of seizure activity in the case of newborns can help save lives. Clinical signs of seizures in newborns are difficult to observe, so, in…”
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Seismic Random Noise Attenuation Using Sparse Low-Rank Estimation of the Signal in the Time-Frequency Domain
Published in IEEE journal of selected topics in applied earth observations and remote sensing (01-05-2019)“…Suppression of random noise in seismic data is a challenging preprocessing task. We propose a new denoising method, which includes the following steps. First,…”
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10
A Modified Viterbi Algorithm-Based IF Estimation Algorithm for Adaptive Directional Time–Frequency Distributions
Published in Circuits, systems, and signal processing (01-05-2019)“…Time–frequency (TF)-based instantaneous frequency estimation algorithms fail to achieve the desired performance when the underlying TF distribution suffers…”
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Locally Optimized Adaptive Directional Time–Frequency Distributions
Published in Circuits, systems, and signal processing (01-08-2018)“…This paper addresses the problem of estimating the parameters of adaptive directional time–frequency distributions (ADTFDs). ADTFDs locally optimize the…”
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Instantaneous frequency estimation of intersecting and close multi-component signals with varying amplitudes
Published in Signal, image and video processing (03-04-2019)“…Instantaneous frequency (IF) estimation of multi-component signals with closely spaced and intersecting signal components of varying amplitudes is a…”
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An Efficient and Accurate Multi-Sensor IF Estimator Based on DOA Information and Order of Fractional Fourier Transform
Published in Entropy (Basel, Switzerland) (25-03-2022)“…Instantaneous frequency in multi-sensor recordings is an important parameter for estimation of direction of arrival estimation, source separation, and sparse…”
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Exploiting Temporal Correlation for Detection of Non-stationary Signals Using a De-chirping Method Based on Time–Frequency Analysis
Published in Circuits, systems, and signal processing (01-08-2018)“…Novel time–frequency ( t – f ) methods are developed for the detection of non-stationary signals in the presence of noise with uncertain power. The proposed…”
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An Efficient Direction of Arrival Estimation Algorithm for Sources with Intersecting Signature in the Time–Frequency Domain
Published in Applied sciences (01-02-2021)“…An efficient direction of arrival estimation method is proposed. The proposed algorithm accurately estimates the instantaneous frequency of signals received by…”
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A highly adaptive directional time–frequency distribution
Published in Signal, image and video processing (01-10-2016)“…This paper presents an automatic method of computing a high-resolution adaptive time–frequency distribution. A recently developed locally adaptive directional…”
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Performance Comparison of Time-Frequency Distributions for Estimation of Instantaneous Frequency of Heart Rate Variability Signals
Published in Applied Sciences (Bucuresti) (2017)“…The instantaneous frequency (IF) of a non-stationary signal is usually estimated from a time-frequency distribution (TFD). The IF of heart rate variability…”
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18
Cross-term elimination in Wigner distribution based on 2D signal processing techniques
Published in Signal processing (01-03-2011)“…An efficient method based on 2D signal processing techniques and fractional Fourier transform is presented to suppress interference terms of Wigner…”
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A robust and efficient instantaneous frequency estimator of multi-component signals with intersecting time-frequency signatures
Published in Signal processing (01-12-2020)“…•A method for instantaneous frequency estimation of signals with intersecting time-frequency signature is developed.•The method does not require TFD…”
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Cross-Term Suppression in Time Order Distribution for AWGN Signal
Published in Mehran University Research Journal of Engineering and Technology (01-04-2017)“…A technique of cross-term suppression in WD (Wigner Distribution) for a multi-component signal that is embedded WGN (White Gaussian Noise) is proposed. In this…”
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