The convergence of Fourier transform methods with high tech opens new opportunities for detection and handling of atoms and molecules using nanodevices, with potential for a large variety of scientific and technological applications. The applications of the Fourier transform include filtering, telecommunication, music processing, pitch modification, signal coding and signal synthesis feature extraction for pattern identification as in speech recognition, image processing, spectral analysis in astrophysics, radar signal processing. Fourier transforms are used broadly, and are of particular value in the analysis of single functions and combinations of functions found in radar and signal processing.
This book ‘Fourier Transforms in Radar & Signal Process’ focuses on the Fourier transform applications in signal processing techniques as well as provide tools for practical applications to encourage further research and results in this area. The aim the book is to gain detailed knowledge with using the Fourier transform in radar and signal processing, both specific techniques and general principles, and learning to recognize when, why, and how it is used.
It provides an applications-oriented analysis to signal processing primarily for electrical engineers, communication engineers, signal processing engineers, mathematicians and graduate students will also find it useful as a reference for their research activities.