Signals: Continuous and Discrete is a practical, student-friendly textbook for introductory courses in signal processing. This textbook covers the material in a straightforward, easily digestible manner by focusing on the most critical information and developing an intuitive understanding of the underlying mathematics.
Topics covered in the text include the Fourier series, the Fourier transform, systems and signals, pole-zero theory, convolution, sampling, and digital signal processing.
Successfully classroom tested, Signals: Continuous and Discrete is a clear, concise...

​Signal Processing in Medicine and Biology: Innovations in Big Data Processingprovides an interdisciplinary look at state-of-the-art innovations in biomedical signal processing, especially as it applies to large data sets and machine learning. Chapters are presented with detailed mathematics and complete implementation specifics so that readers can completely master these techniques. The book presents tutorials and examples of successful applications and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and...