With the growing maturity and stability of digitization and edge technologies, vast numbers of digital entities, connected devices, and microservices interact purposefully to create huge sets of poly-structured digital data. Corporations are continuously seeking fresh ways to use their data to drive business innovations and disruptions to bring in real digital transformation. Data science (DS) is proving to be the one-stop solution for simplifying the process of knowledge discovery and dissemination out of massive amounts of multi-structured data.

Foundations of Digital Signal Processing: Theory, algorithms and hardware design starts by introducing the mathematical foundations of DSP, assuming little prior knowledge of the subject from the reader, and moves on to discuss more complex topics such as Fourier, Laplace and digital filtering. It provides detailed information on off-line, real-time and DSP programming, and guides the reader through advanced topics such as DSP hardware design, FIR and IIR filter design and difference equation manipulation.

Based on the authors' 20 years' research work on Inverse Synthetic Aperture Radar (ISAR) imaging of moving targets and non-cooperative target recognition, this book provides readers with knowledge of various algorithms of ISAR imaging of targets and implementation with MATLAB. It introduces basic principles of radar backscattering, radar imaging, and signal analysis. It describes the characteristics of radar returns from targets, how to produce well-focused ISAR images of moving targets, and what features that can extracted from ISAR images. Also introduced are several important algorithms for ISAR image formation, ISAR image auto-focusing, and applications of ISAR imaging to air targets, sea vessels and ground moving targets. Examples of ISAR imaging of ground moving targets, air targets, and sea vessels are discussed in detail.