Academic Background[edit | edit source]
Currently working at Institute of Soace Technology (IST) universityas a Research Associate.m responsible for designing, developing, and implementing signal processing algorithms for radar systems. This includes analyzing radar data to extract useful information, such as the location and velocity of objects, as well as filtering out noise and other unwanted signals.By understanding of electromagnetic theory, as well as the ability to work with complex mathematical models and software. Completed Master's of Electrical Engineering at National University of Science and Technology, undergraduate from same University. Research interests are in signals processing, Machine learning, electrical systems. Master's thesis topic was on MULTICHANNEL FEED-FORWARD ACTIVE NOISE CANCELLATION SYSTEMS under the supervision of Dr. Alina Mirza
Research Contributions[edit | edit source]
Rapers submited
Efficient FxLMAT Based Methods for Multichannel Active Control of Impulsive Noise (Submitted in Wireless Communications and Mobile Computing)
Less Complex Solution for Fast Convergence of Multi‑Channel ANC System with OSPM for Impulsive Noise(submitted in International Journal of Electronics and Communications)
Skills[edit | edit source]
SOFTWARE SKILLS
Python • MATLAB• Assembly • C/C++ • HTML/CSS • Simulink • HFSS/CST • Wireshark • Linux • CCT design • Communication system design •Vivado.
HARDWARE SKILLS
PIC/ Micro‑controllers • Arduino board • Discovery Kit • Raspberry Pi • Lab work on function Generators•Working with ICs• PCB design •FPGA systems
Thesis Research Topic[edit | edit source]
Topic:MULTICHANNEL FEED-FORWARD ACTIVE NOISE CANCELLATION SYSTEMS
Summary:The thesis discusses the challenges faced by FxLMS-based MC-ANC systems in the presence of impulsive noise (IN) and proposes three variants of FxLMAT to overcome these issues. The first two modifications involve step size normalization with respect to the input and error signals, respectively, but they still lack robustness. The third variant, MC-Binormalized FxLMAT, normalizes the step size with respect to both signals, resulting in better stability and faster convergence, although it has higher complexity. These methods show promising results in simulations for addressing stability and divergence issues in MC-ANC systems with IN.
Thesis Outline: Chapters
Chapter 1-INTRODUCTION1
- Noise Cancellation Techniques
- Types of ANC Systems
- Multichannel ANC System
- Adaptive algorithm
- Types of Noise
- Summary of Contributions
- Problem Statement
- Outine
Chapter 2-Literature Review
- Existing ANC Algorithms
- Least Mean Square Algorithm
- Normalized-LMS (NLMS) Algorithm
- Filtered x- LMS Algorithm
- Sun’s Method and Modified Sun’s method
- Akhtar’s Modification in Sun’s Algorithm
- Normalized FXLMS algorithm (NFxLMS)
- Least Mean Absolute Third (LMAT) Method
- Normalized LMAT (NLMAT) Algorithm
- Robust Normalized LMAT Algorithm
- Filtered x Least mean power FxLMP algorithm
- Filtered x- Recursive Least Square FxRLS Filter in ANC System
- Multichannel ANC system
- Basic Multichannel ANC system
- Multichannel Normalized Fx-LMS algorithm
- Multichannel Partial Min-max Algorithm for System
- Multichannel Momentum MC-FxLMS Algorithm .
- Block coordinate descent MC-FxLMS based (MC-BCD FxLMS) Algorithm
- Multichannel Momentum Block coordinate descent MC-FxLMS based (MC-Momentum BCD FxLMS) Algorithm
Summary
Chapter 3- PROPOSED SCHEMES
- Proposed Algorithm
- Multichannel Filtered x Least Mean Absolute Third (MC-FxLMAT) Algorithm
- Proposed multichannel filtered x normalized LMAT(MC-FxNLMAT) method
- Proposed multichannel filtered x robust normalized LMAT(MC-FxRNLMAT) method
- Multichannel Binormalized filtered x LMAT method
Chapter 4- Computational Complexity
- Computational Complexity
- Computational Complexity of (1,2,2)MC-FxLMAT Algorithm
- Computational Complexity (1,2,2)MC-FxNLMAT Algorithm
- Computational Complexity of (1,2,2) MC-FxRNLMAT
- Computational Complexity of (1,2,2)MC-Fx Binormlaized LMAT algorithm
- Computational complexity comparison
Chapter 5- Simulation Results
- Case 1
- Case 2
- Case 3
- Case 4
- Case 5 (Real Time Signal
Chapter 6- CONCLUSION AND FUTURE WORKS
- Conclusion
- Future Work