TY - CHAP A1 - N. Carranza-Herrezuelo A2 - A. Bajo A3 - C. Santa-Marta A4 - G. Cristobal A5 - A. Santos A6 - M. J. Ledesma-Carbayo ED1 - Ashraf A Zaher Y1 - 2009-11-01 PY - 2009 T1 - Combined Myocardial Motion Estimation and Segmentation Using Variational Techniques N2 - The signal processing task is a very critical issue in the majority of new technological inventions and challenges in a variety of applications in both science and engineering fields. Classical signal processing techniques have largely worked with mathematical models that are linear, local, stationary, and Gaussian. They have always favored closed-form tractability over real-world accuracy. These constraints were imposed by the lack of powerful computing tools. During the last few decades, signal processing theories, developments, and applications have matured rapidly and now include tools from many areas of mathematics, computer science, physics, and engineering. This book is targeted primarily toward both students and researchers who want to be exposed to a wide variety of signal processing techniques and algorithms. It includes 27 chapters that can be categorized into five different areas depending on the application at hand. These five categories are ordered to address image processing, speech processing, communication systems, time-series analysis, and educational packages respectively. The book has the advantage of providing a collection of applications that are completely independent and self-contained; thus, the interested reader can choose any chapter and skip to another without losing continuity. BT - Recent Advances in Signal Processing SP - Ch. 6 UR - https://doi.org/10.5772/7452 DO - 10.5772/7452 SN - PB - IntechOpen CY - Rijeka Y2 - 2020-08-07 ER -