In current scenario of modern technology, we are facing a necessity of noise removal in
signal processing. Various approaches are used for the same. This paper describes an …

Heart sound signals will replicate the physiological and pathological characteristics of the
heart. every heart beat is incredibly advanced and short and also the main frequency of …

With the help of different digital signal processing techniques speech signals can be used
for many applications like speaker recognition, biomedical engineering, communication …

In the past decade, deep learning (DL) has achieved unprecedented success in numerous
fields, such as computer vision and healthcare. Particularly, DL is experiencing an …

Satellite images in course of capturing and transmitting are frequently degraded due to
channel effects or uncertain conditions. These effects introduce different noise patterns such …

This paper proposes a new active noise control (ANC) system based on a recursive least-
squares lattice (RLSL) algorithm by designing secondary-path innovation (SPI) and lattice …

The persistent improvement of the hybrid adaptive algorithms and the swift growth of signal
processing chip enhanced the performance of signal processing technique exalted mobile …

The persistent improvement of the hybrid adaptive algorithms and the swift growth of signal
processing chip enhanced the performance of signal processing technique exalted mobile …

The improvement of SNR (Signal-to-Noise Ratio) of abnormal engine sounds is of great help
in improving the accuracy of engine fault diagnosis. By imitating the way that human …

This paper presents a comprehensive evaluation using a Z-test to assess the effectiveness
of an adaptive Least Mean Squares (LMS) filter driven by the Steepest Descent Method …