The Split-Radix Fast Fourier Transform has the same low arithmetic complexity as the
related Conjugate Pair Fast Fourier Transform. Both transforms have an irregular datapath …

The transfer of health monitoring data from multiple patients using wireless body-area
networks requires the use of robust, and energy and bandwidth efficient multiple-access …

A Bloom filter is a probabilistic data structure for approximate membership filtering. It is
applied in diverse Network systems to enhance a system's performance and reduce the …

Discrete Fourier transform (DFT) is widely used in almost all fields of science and
engineering. Fast Fourier transform (FFT) is an efficient tool for computing DFT. In this paper …

Abstract Fast Fourier Transform (FFT) is a rudimentary operation in signal processing.
Modern high speed signal processing and communications standards, such as 4G LTE, 5G …

The new method for the discrete Fourier transform computation over a finite field is
introduced. This method is a nontrivial generalization of the Duhamel-Hollmann algorithm …

The transfer of data from multiple internet of things (IoT) devices requires the use of a robust
and efficient multiple access (MA) solution. This paper considers the orthogonal frequency …

Hybrid multi-granularity approach is a data processing mode in rough set theory. Taking the
incomplete information system as the research object, variable precision rough set method …

The healthcare industry is leading towards a transition from conventional medical services to
patientcentric e-Health solutions, eg, real-time remote monitoring of patients. This trend will …

Digital frequency spectrum analysis is widely used in signal processing and analyzing,
which indicates the physical information and characteristics of components in a signal …