A5005227024- Blind Source Separation Techniques
- Machine Fault Diagnosis Techniques
- Image and Signal Denoising Methods
- Speech and Audio Processing
- EEG and Brain-Computer Interfaces
- Sparse and Compressive Sensing Techniques
- Structural Health Monitoring Techniques
- Direction-of-Arrival Estimation Techniques
- ECG Monitoring and Analysis
- Underwater Acoustics Research
- Indoor and Outdoor Localization Technologies
- Ultrasonics and Acoustic Wave Propagation
- Advanced Electrical Measurement Techniques
- Fault Detection and Control Systems
- Target Tracking and Data Fusion in Sensor Networks
- Mathematical Analysis and Transform Methods
- Advanced Adaptive Filtering Techniques
- Photoacoustic and Ultrasonic Imaging
- Radar Systems and Signal Processing
- Seismic Imaging and Inversion Techniques
- Water resources management and optimization
- Wireless Communication Networks Research
- Control Systems and Identification
- Reconstructive Surgery and Microvascular Techniques
- Non-Invasive Vital Sign Monitoring
Pakistan Council of Research in Water Resources
2022-2025
Mehran University of Engineering and Technology
2023
Nottingham Scientific (United Kingdom)
2023
University of Engineering and Technology Lahore
2022-2023
GMV Innovating Solutions (Spain)
2022-2023
Foundation University Islamabad
2016-2022
Foundation University Medical College
2022
University of Kashmir
2018
Federal Urdu University
2009-2016
Qatar University
2012-2015
This letter presents a novel algorithm to compute the instantaneous frequency (IF) of multicomponent nonstationary signal using combination fractional spectrograms (FS). A high resolution time distribution (TFD) is defined by combining FS computed windows varying lengths and chirp rates. The IF individual components then applying peak detection component extraction procedure. mean square error (MSE) estimates with AFS lower than MSE obtained from other TFDs for SNR -5 dB 16 dB.
Summary This paper presents a locally adaptive time‐frequency ( t , f ) method for estimating the instantaneous frequency (IF) of multi‐component signals. A high‐resolution directional distribution (ADTFD) is defined by adapting direction its smoothing kernel at each point based on energy in domain. The IF signal components then estimated from ADTFD using an image processing algorithm. Using mean square error between original and as performance criterion, experimental results indicate that...
Suppression of random noise in seismic data is a challenging preprocessing task. We propose new denoising method, which includes the following steps. First, short-time Fourier transform noisy signal computed. Then, sparse low-rank matrix estimated based on solving nonconvex penalty function. A threshold function associated with optimal shrinkage singular values employed to solve The induces sparsity time-frequency (TF) matrix, and optimizes thresholding extract values. Finally, synthesized...
Background: Facial trauma presents a significant clinical challenge due to its impact on both functional and aesthetic outcomes. Various surgical techniques, including Open Reduction Internal Fixation (ORIF), minimally invasive fixation, conservative management, are employed optimize recovery. However, comparative evidence their efficacy remains limited. Objective: This study aims evaluate compare the outcomes, complication rates, recovery, hospital stay durations associated with different...
Salvage laryngectomy after failed organ preservation often has a high complication rate, pharyngocutaneous fistulas being the most common. These increase morbidity, prolong hospitalization, and potentially delay adjuvant treatment. Fistula rates in literature range from 3% to 65%. Use of pectoralis flap prevent fistula formation been adopted as common practice at our institution. A review experience using overlay myofascial showed higher than desired rate. The aim this study is assess...
Abstract Time-Frequency (t-f) distributions are frequently employed for analysis of new-born EEG signals because their non-stationary characteristics. Most the existing time-frequency fail to concentrate energy a multicomponent signal having multiple directions distribution in t-f domain. In order analyse such signals, we propose an Adaptive Directional Distribution (ADTFD). The ADTFD outperforms other adaptive kernel and fixed TFDs terms its ability achieve high resolution seizure signals....