Detalles del libro
Formato
Tapa dura
Páginas
181
Idioma
Inglés
Publicado
Feb 16, 2016
Editorial
Springer
Edición
1st ed. 2016
ISBN-10
981287738X
ISBN-13
9789812877383
Descripción
This work delves into advanced methodologies in signal processing, specifically focusing on variable span linear filters. The authors, Jacob Benesty, Mads G. Christensen, and Jesper R. Jensen, combine their expertise to explore the intricate relationship between signal enhancement and filter design. They systematically present the theoretical underpinnings and practical applications of linear filters, providing a comprehensive understanding that's essential for both novices and experienced practitioners in the field.
Through insightful discussions, the authors illustrate how variable span linear filters can significantly improve signal performance in diverse applications. Their analysis includes a variety of signal types and environments, emphasizing the versatility and effectiveness of their proposed techniques. The text is rich in examples and illustrations, making complex topics more accessible to the reader.
Furthermore, the work offers a critical perspective on existing approaches, encouraging readers to consider novel strategies for signal enhancement. By bridging theory and practice, the authors contribute valuable knowledge that can inspire further research and innovation in signal processing.
Through insightful discussions, the authors illustrate how variable span linear filters can significantly improve signal performance in diverse applications. Their analysis includes a variety of signal types and environments, emphasizing the versatility and effectiveness of their proposed techniques. The text is rich in examples and illustrations, making complex topics more accessible to the reader.
Furthermore, the work offers a critical perspective on existing approaches, encouraging readers to consider novel strategies for signal enhancement. By bridging theory and practice, the authors contribute valuable knowledge that can inspire further research and innovation in signal processing.