Edge computing: A survey on the hardware requirements in the internet of things world
In today's world, ruled by a great amount of data and mobile devices, cloud-based systems
are spreading all over. Such phenomenon increases the number of connected devices …
are spreading all over. Such phenomenon increases the number of connected devices …
A structured review of sparse fast Fourier transform algorithms
E Rajaby, SM Sayedi - Digital Signal Processing, 2022 - Elsevier
Discrete Fourier transform (DFT) implementation requires high computational resources and
time; a computational complexity of order O (N 2) for a signal of size N. Fast Fourier …
time; a computational complexity of order O (N 2) for a signal of size N. Fast Fourier …
GHz-wide sensing and decoding using the sparse Fourier transform
We present BigBand, a technology that can capture GHz of spectrum in realtime without
sampling the signal at GS/s-ie, without high speed ADCs. Further, it is simple and can be …
sampling the signal at GS/s-ie, without high speed ADCs. Further, it is simple and can be …
RF filters with periodic passbands for sparse Fourier transform-based spectrum sensing
This paper demonstrates a passive low-insertionloss (IL) RF filter with periodic passbands
and capable of sparsifying the spectrum from 238 to 526 MHz for sparse Fourier transform …
and capable of sparsifying the spectrum from 238 to 526 MHz for sparse Fourier transform …
Rate-adaptive compressed-sensing and sparsity variance of biomedical signals
V Behravan, NE Glover, R Farry… - 2015 IEEE 12th …, 2015 - ieeexplore.ieee.org
Biomedical signals exhibit substantial variance in their sparsity, preventing conventional a-
priori open-loop setting of the compressed sensing (CS) compression factor. In this work, we …
priori open-loop setting of the compressed sensing (CS) compression factor. In this work, we …
Digitally assisted data converter design
B Murmann - 2013 Proceedings of the ESSCIRC (ESSCIRC), 2013 - ieeexplore.ieee.org
Modern CMOS technologies provide digital signal processing capabilities at high integration
density and low energy per operation. Hence, expending digital resources to enhance …
density and low energy per operation. Hence, expending digital resources to enhance …
Efficient wideband spectrum sensing using MEMS acoustic resonators
The ever-increasing demand for wireless applications has resulted in an unprecedented
radio frequency (RF) spectrum shortage. Ironically, at the same time, actual utilization of the …
radio frequency (RF) spectrum shortage. Ironically, at the same time, actual utilization of the …
Frequency locator polynomial for wideband sparse spectrum sensing with multichannel subsampling
K Cao, P Lu, C Sun, Y Zou, J Wang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
BigBand is a technique for wideband spectrum sensing (WSS) that can capture gigahertz of
sparse spectrum in real time by using shifted multiple channels without sampling the signal …
sparse spectrum in real time by using shifted multiple channels without sampling the signal …
Integrated circuit implementation of methods and apparatuses for monitoring occupancy of wideband GHz spectrum, and sensing respective frequency components of …
An ASIC for monitoring wideband GHz spectrum to sense respective frequency components
present in the spectrum. The ASIC implements Fast Fourier Transform (FFT) techniques to …
present in the spectrum. The ASIC implements Fast Fourier Transform (FFT) techniques to …
Frequency-domain characterization of random demodulation analog-to-information converters
The paper aims at proposing test methods for Analog-to-Information Converters (AICs). In
particular, the objective of this work is to verify if figures of merit and test methods, currently …
particular, the objective of this work is to verify if figures of merit and test methods, currently …