Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …

Digital signal processing (DSP) is one of the most powerful technologies which will shape
the science, engineering and technology of the twenty-first century. Since 1970 …

Recent times have witnessed a wide application of evolutionary optimization by researchers,
in design of digital FIR filters, based on frequency domain specifications. A significant growth …

This paper proposes an improved denoising method based on the cascaded arrangement of
filters. The different combinations of filters are obtained optimally through the improved …

The dominant degrading factor of quality in ultrasound images is mainly due to the
occurrence of speckle noise that in turn leads to false ameliorative decisions, restricts auto …

This paper presents a low complexity two dimensional (2D) circular symmetric Finite Impulse
Response (FIR) filter design and implementation of architecture. The optimized circular …

Noise in digital images is the major cause of severe artifacts. Filter design for denoising
applications can also be addressed with optimization techniques as conventional filters …

Several image denoising algorithms are developed so far to obtain a better denoised sensor
images. But they fail to preserve the edges of the images. In order to overcome this, an …

The traditional swarm intelligence optimization algorithm is prone to fall into local optimal
solutions in finite impulse response (FIR) digital filter design and has slow convergence …

This paper presents an improved image-denoising technique that is based on the
combination of cascaded filters. The amalgamation of different filters is acquired by using the …