Description
| Product ID: | 9783319453712 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Title: | Signal Processing and Machine Learning with Applications |
| Authors: | Author: Marius Silaghi, Veton Kepuska, Sheuli Paul, Michael M. Richter |
| Page Count: | 607 |
| Subjects: | Electronics engineering, Electronics engineering, Data mining, Artificial intelligence, Expert systems / knowledge-based systems, Digital signal processing (DSP), Data mining, Artificial intelligence, Expert systems / knowledge-based systems, Signal processing |
| Description: | Select Guide Rating Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications. Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal processing languages we use to interpret real-world phenomena, model them, and extract useful information. This book presents different kinds of signals humans use and applies them for human machine interaction to communicate. Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications. It is organized in three parts: Realms of Signal Processing; Machine Learning and Recognition; and Advanced Applications and Artificial Intelligence. The comprehensive coverage is accompanied by numerous examples, questions with solutions, with historical notes. The book is intended for advanced undergraduate and postgraduate students, researchers and practitioners who are engaged with signal processing, machine learning and the applications. |
| Imprint Name: | Springer International Publishing AG |
| Publisher Name: | Springer International Publishing AG |
| Country of Publication: | GB |
| Publishing Date: | 2022-10-01 |
