There have been significant developments in the design and application of algorithms for both
one-dimensional signal processing and multidimensional signal processing namely image and
video processing with the recent focus changing from a step-by-step procedure of designing the
algorithm first and following up with in-depth analysis and performance improvement to instead
applying heuristic-based methods to solve signal-processing problems. In this book the
contributing authors demonstrate both general-purpose algorithms and those aimed at solving
specialized application problems with a special emphasis on heuristic iterative optimization
methods employing modern evolutionary and swarm intelligence based techniques. The applications
considered are in domains such as communications engineering estimation and tracking digital
filter design wireless sensor networks bioelectric signal classification image denoising
and image feature tracking. The book presents interesting state-of-the-art methodologies for
solving real-world problems and it is a suitable reference for researchers and engineers in the
areas of heuristics and signal processing.
