Signal processing and machine learning theory. (2023)

• Record Type: Book
• Further Information: Note: Edited by Paulo S.R. Diniz.
• Editors: Diniz, Paulo Sergio Ramirez, 1956-
• Contents: 1. Introduction to Signal Processing and Machine Learning Theory; 2. Continuous-Time Signals and Systems; 3. Discrete-Time Signals and Systems; 4. Random Signals and Stochastic Processes; 5. Sampling and Quantization; 6. Digital Filter Structures and Their Implementation; 7. Multi-rate Signal Processing for Software Radio Architectures; 8. Modern Transform Design for Practical Audio/Image/Video Coding Applications; 9. Discrete Multi-Scale Transforms in Signal Processing; 10. Frames in Signal Processing; 11. Parametric Estimation; 12. Adaptive Filters; 13. Signal Processing over Graphs; 14. Tensors for Signal Processing and Machine Learning; 15. Non-convex Optimization for Machine Learning; 16. Dictionary Learning and Sparse Representation
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2023
• Extent: 1 online resource
• Subjects: 006.31; Signal processing; Machine learning
• Languages: English
• ISBNs: 9780323972253
• Related ISBNs: 9780323917728
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.