Signal Processing Driven Machine (8 results)

Condition: New.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 450.

Paperback. Condition: Brand New. 184 pages. 9.00x5.94x0.32 inches. In Stock.

Condition: New.

Paperback. Condition: new. Paperback. Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular data analysis. Topics in this book include machine learning methods such as supervised learning, unsupervised learning, semi-supervised learning, and meta-learning combined with different signal processing techniques such as multivariate data analysis, time-frequency analysis, multiscale analysis, and feature extraction techniques for the detection of cardiovascular diseases, heart valve disorders, hypertension, and activity monitoring using ECG, PPG, and PCG signals.In addition, this book also includes the applications of digital signal processing (time-frequency analysis, multiscale decomposition, feature extraction, non-linear analysis, and transform domain methods), machine learning and deep learning (convolutional neural network (CNN), recurrent neural network (RNN), transformer and attention-based models, etc.) techniques for the analysis of cardiac signals. The interpretable machine learning and deep learning models combined with signal processing for cardiovascular data analysis are also covered. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Signal Processing Innovations Driven by Machine Learning explores the transformative impact of machine learning techniques on traditional signal processing methods. This book highlights how algorithms can optimize data analysis, noise reduction, and feature extraction, leading to more efficient and accurate systems. It examines practical applications across telecommunications, audio engineering, and sensor networks, demonstrating the synergy between advanced computational models and signal analysis. The discussion emphasizes the potential for machine learning to revolutionize signal processing paradigms, fostering innovations that enhance communication technologies and data interpretation. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Signal processing is a critical component of many modern applications, from audio and image processing to medical imaging and telecommunications. This book presents a comprehensive overview of signal processing innovations driven by machine learning, highlighting the potential of AI algorithms in improving the efficiency and effectiveness of signal processing tasks. By examining the latest research and applications in the field, the book reveals the potential of machine learning in transforming the way we process and analyze signals. From convolutional neural networks to recurrent neural networks and deep learning, the book showcases the cutting-edge technologies that are revolutionizing signal processing. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.