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Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 254-266 (2024)
Using physically separated multiple-input multiple-output (MIMO) systems for millimeter-wave measurement systems based on linear frequency chirps poses unique challenges for generating a modulated reference chirp to apply high coherence. The referenc
Externí odkaz:
https://doaj.org/article/885631145e0c4792aa9f74b16c9caaaa
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 243-253 (2024)
This paper demonstrates the first silicon-verified FBMC encoder and decoder designed to emulate beyond $224Gb/s$ wireline communication. It also compares the performance of FBMC to PAM and DMT in three steps. First, the digital power and area consump
Externí odkaz:
https://doaj.org/article/3e38b827322c42118f1b6267c4d4f881
Autor:
Vassilis Alimisis, Dimitrios G. Arnaoutoglou, Emmanouil Anastasios Serlis, Argyro Kamperi, Konstantinos Metaxas, George A. Kyriacou, Paul P. Sotiriadis
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 224-242 (2024)
A fall-detection system was implemented utilizing a 2.45 GHz continuous wave radar along with power-efficient and fully-analog integrated classifier architectures. The Power Burst Curve and the effective acceleration were derived from the short time
Externí odkaz:
https://doaj.org/article/f0fcf29ab16f4a3b98e9e395031bfb76
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 211-223 (2024)
Hyper-Dimensional (HD) computing is a brain-inspired learning approach for efficient and fast learning on today’s embedded devices. HDC first encodes all data points to high-dimensional vectors called hypervectors and then efficiently performs the
Externí odkaz:
https://doaj.org/article/91f45b301e794ddc964ba2a1d0a40a62
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 199-210 (2024)
This research analyzes the mutual self-organized synchronization of phase-locked loops (PLLs) in the presence of variations in the free-running frequency of a PLL. In contrast to traditional synchronization methods that rely on a reference signal, th
Externí odkaz:
https://doaj.org/article/624664f0d644420ea8ed2ff04de50494
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 178-188 (2024)
Specialized compute blocks have been developed for efficient nn execution. However, due to the vast amount of data and parameter movements, the interconnects and on-chip memories form another bottleneck, impairing power and performance. This work add
Externí odkaz:
https://doaj.org/article/69f456498f434569bfd63a9cc0ff980d
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 166-177 (2024)
Battery monitoring integrated circuits (BMIC) employed in the battery management system (BMS) for electric vehicle (EV) application are subjected to rigorous requirements for accuracy, reliability, and safety. This paper presents a design of an 8-cel
Externí odkaz:
https://doaj.org/article/fb78e0366fa74c45a4a99e5dbaf42d2c
Autor:
Linsheng Zhang, Divya Duvvuri, Suprio Bhattacharya, Anjana Dissanayake, Xinjian Liu, Henry L. Bishop, Yaobin Zhang, Travis N. Blalock, Benton H. Calhoun, Steven M. Bowers
Publikováno v:
IEEE Open Journal of the Solid-State Circuits Society, Vol 4, Pp 43-56 (2024)
This article presents a binary frequency-shift keying (BFSK) heterodyne wake-up receiver (WuRx) with -102-dBm sensitivity at 2.4 GHz. An integrated low-power all-digital phase-locked loop (ADPLL) allows sharp filtering at the intermediate frequency (
Externí odkaz:
https://doaj.org/article/47508d454c1b41758e3462233f122718
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 189-198 (2024)
The trade-off between decoding performance and hardware costs has been a long-standing challenge in Low-Density Parity Check (LDPC) decoding. Based on model-driven methodology, the Neural Network-Aided Variable Weight Min-Sum (NN-aided vwMS) algorith
Externí odkaz:
https://doaj.org/article/a98f71dc5c244f1b8e06b29ad6194ee7
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 141-152 (2024)
This paper describes a supervised speech enhancement (SE) method utilising a noise-aware four-layer deep neural network and training target switching. For optimal speech denoising, the SE system, trained with multiple-target joint learning, switches
Externí odkaz:
https://doaj.org/article/629751578c634b40b182822b3723c2a9