Digital Signal Processing with Kernel Methods will review the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. In addition it will offer an explanation of the fundamental concepts from both fields of machine learning and signal processing for it to be a self-contained text. Readers will quickly be brought up to speed on the topic through this approach so as to be in a position to develop the concepts and application software in their own research.