Nowadays, a large amount of information has to be transmitted or processed. This implies
high-power processing, large memory density, and increased energy consumption. In …

According to the latest research, it is very much clear that in future we require a huge amount
of data as modern advancement in communication and signal processing generates a large …

The paper presents the identification of a speaker with the help of natural and whisper
speech signal. The speaker identification through whisper is also useful in cases where the …

Compressive Sensing (CS) is the key method to reconstruct the signal with very few number
of measurements as compared to conventional methods. According to the conventional …

The predator algorithm is a representative pioneering work that achieves state‐of‐the‐art
performance on several popular visual tracking benchmarks and with great success when …

Medical Imaging and scanning technologies are used to provide better resolution of body
and tissues. To achieve a better-quality Magnetic Resonance (MR) image with a minimum …

Compressive Sensing (CS) is a new approach for compression and reconstruction of
compressed signals using very minute observations. These minute observations are also …

The goal in signal compression is to reduce the size of the input signal without a significant
loss in the quality of the recovered signal. One way to achieve this goal is to apply the …

Compressive sensing, often referred to as CS, is an innovative approach that heavily
depends on signal sparsity. It capitalizes on the inherent sparsity of signals, enabling the …

The world has been threatened with COVID-19 for the past two years; the reason behind this
is the unpredictable behavior of the virus. Sometimes the cases are detected when the chest …