TY - BOOK
T1 - Machine learning algorithms for signal and image processing
AU - Ghai, Deepika
AU - Tripathi, Suman Lata
AU - Saxena, Sobhit
AU - Chanda, Manash
AU - Alazab, Mamoun
N1 - Publisher Copyright:
© 2023 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
PY - 2022/11/18
Y1 - 2022/11/18
N2 - Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks.Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as:Speech recognition, image reconstruction, object classification and detection, and text processingHealthcare monitoring, biomedical systems, and green energyHow various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing timeReal applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detectionProfessionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.
AB - Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks.Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as:Speech recognition, image reconstruction, object classification and detection, and text processingHealthcare monitoring, biomedical systems, and green energyHow various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing timeReal applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detectionProfessionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.
UR - http://www.scopus.com/inward/record.url?scp=85146379375&partnerID=8YFLogxK
U2 - 10.1002/9781119861850
DO - 10.1002/9781119861850
M3 - Book
AN - SCOPUS:85146379375
SN - 9781119861829
BT - Machine learning algorithms for signal and image processing
PB - Wiley-ISTE
CY - New Jersey
ER -