When James Cooley and John Tukey introduced the Fast Fourier transform in 1965, it revolutionized signal processing and set us on course to an array of technological breakthroughs. But today’s ...

Design linear discrete-time systems and filters and analyze their behavior. Represent continuous-time signals and linear systems in discrete time, so that such signals can be recovered in continuous ...

RF Engines (RFEL), the Isle of Wight based signal processing specialist, has announced two contracts for 2004. Although customer names haven’t been released, the two deals are for a pipelined FFT ...

Here you are going to write a function that uses the in-built functions pwelch and cpsd, and you are going to use the results to examine H1 and H2 estimates of H, and the coherence function. You will ...

The Fast Fourier Transform (FFT) is an implementation of the Discrete Fourier Transform (DFT) using a divide-and-conquer approach. A DFT can transform any discrete signal, such as an image, to and ...

Recent advances in signal processing have not only enhanced our ability to analyse and decompose complex signals but have also paved the way for transformative approaches in biomolecular research. By ...

Modern pulsed radar systems use advanced waveform and modulation characteristics to obtain greater range resolution, enhanced clutter suppression and superior target recognition. Specifically, ...

The linear canonical transform (LCT) is a versatile integral transform that generalises classical transforms such as the Fourier, fractional Fourier, and Fresnel transforms. By utilising four ...