Publications by authors named "Sana Ul Haq"

Article Synopsis
  • Fractional order algorithms, like the self-adjusting dual-stage LFLMS, outperform traditional algorithms in signal processing while maintaining simplicity.
  • LFLMS combines two stages: the first uses the conventional LMS approach, followed by an advanced fractional LMS that enhances precision and speeds up convergence with a slight increase in computational complexity.
  • Simulation results reveal that LFLMS achieves a 59% faster convergence rate and reduces mean square error (MSE) by 49% compared to LMS, making it ideal for future wireless technologies such as IoT and 6G.
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Synopsis of recent research by authors named "Sana Ul Haq"

  • - Sana Ul Haq's recent research focuses on enhancing digital beamforming techniques through advanced signal processing algorithms, specifically targeting the improvement of convergence speed and precision in signal processing tasks.
  • - The study introduces a novel self-correcting dual-stage fractional least mean square (LFLMS) algorithm that combines traditional least mean square (LMS) methods with fractional order techniques to achieve superior performance with minimal computational overhead.
  • - The findings indicate that the LFLMS algorithm offers a significant advantage over conventional approaches, providing enhanced efficacy in digital signal processing applications while maintaining simplicity in implementation.