Signal enhancement is useful in many areas like social, medicine and engineering. It can be
utilized in data mining approach for social and security aspects. Signal decomposition …

Speech enhancement is an important pre-processing task in the area of speech processing
research. Many techniques have been applied in this area since four/five decades. With …

Neural network has occupied a very good position in the field of detection, recognition and
classification. However the use of these models for signal enhancement is a new direction of …

Enhancement of the speech signal is an essential task in the adverse environment. Several
algorithms have been designed from several years to improve the quality. Mostly Neural …

Purpose portable electroencephalogram (EEG) devices have grown in popularity in recent
years. However, the artifacts in EEG while capturing occur mostly due to either external or …

Deep learning is an emerging area in current scenario. Mostly, Convolutional Neural
Network (CNN) and Deep Belief Network (DBN) are used as the model in deep learning. It is …

Speech enhancement is a signal processing technique used to improve the quality and
intelligibility of speech recordings that contain noise or interference. Its main goal is to …

In this digitized world, the demand of users emphasizes the quality and accuracy. Practically,
all variants of signals are analog in nature along with contaminated with noise. In this paper …

In this digitized world, quality, accuracy and adaptability are more emphasized. Due to
immense practical applications, desire for clean signal is highly essential at the user end. In …

Enhancement of speech signal and reduction of noise from speech is still a challenging task
for researchers. Out of many methods signal decomposition method attracts a lot in recent …