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Yingying Wang
Researcher at Case Western Reserve University
Publications - 15
Citations - 95
Yingying Wang is an academic researcher from Case Western Reserve University. The author has contributed to research in topics: Radio frequency & Noise figure. The author has an hindex of 4, co-authored 14 publications receiving 61 citations.
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Journal ArticleDOI
Wideband $N$ -Beam Arrays Using Low-Complexity Algorithms and Mixed-Signal Integrated Circuits
Sirani M. Perera,Viduneth Ariyarathna,Nilan Udayanga,Arjuna Madanayake,Ge Wu,Leonid Belostotski,Yingying Wang,Soumyajit Mandal,Renato J. Cintra,Theodore S. Rappaport +9 more
TL;DR: Mixed-signal CMOS integrated circuits designs are proposed for the implementation of DVM multibeam algorithms along with low-complexity digital realizations to achieve hybrid beamforming for mmW applications.
Proceedings ArticleDOI
Indoor Occupancy Awareness and Localization Using Passive Electric Field Sensing
TL;DR: Sparse low-power sensor networks using passive electric potential sensors (EPS) for crowd-aware smart buildings and an indoor person localization method based on maximum likelihood (ML) detection in the near field using dividing rectangular (DIRECT) search are introduced.
Journal ArticleDOI
$\Delta-\Sigma$ Noise-Shaping in 2-D Space-Time for Wideband Antenna Array Receivers
TL;DR: In this article, a proof-of-concept 65-port receiver that uses first-order Δ-Sigma modulation within both the low-noise amplifier and analog-to-digital converter (ADC) has been designed in the UMC 65-nm CMOS process.
Proceedings ArticleDOI
N-port LNAs for mmW array processors using 2-D spatio-temporal Δ — Σ noise-shaping
TL;DR: It is shown that a spatially-oversampled antenna array coupled to an N-port noise-shaped LNA can diminish in-band additive noise and distortion by shaping the multi-dimensional spectrum of these unwanted components towards higher spatial frequencies that are outside the space-time region of support (ROS) of all possible propagating electromagnetic waves.
Journal ArticleDOI
A 1.0-8.3 GHz Cochlea-Based Real-Time Spectrum Analyzer With Δ-Σ-Modulated Digital Outputs
TL;DR: A cochlea-based digitally-programmable single-chip radio frequency (RF) spectrum analyzer in 65 nm CMOS that includes a transmission-line active cochlear model with 50 parallel exponentially-spaced stages that analyzes the radio spectrum from 1.0-8.3 GHz is described.