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Suppression of Digital Noise Coupling on LNA in 0.13-μm RFCMOS Technology by Global Guard Rings
2008 Edition, January 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Digital noise coupling on the noise-sensitive RF and analog circuits through substrate continues to grow as a critical issue as the on-chip integration of digital and RF/analog becomes increasingly popular with the advent of SoC...

A Compact Digitally-Assisted Merged LNA Vector Modulator Using Coupled Resonators for Integrated Beamforming Transceivers
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper presents a compact differential quadrature generation scheme using transformer coupled resonators for use in scalable fifth-generation (5G) phased-array architectures. A merged low-noise amplifier vector modulator (LNA-VM) architecture is introduced where quadrature...

Balanced-Balanced Tunable Filtering LNA using Evanescent-Mode Resonators
2019 Edition, June 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Multifunctional RF components are of great benefit to wireless systems, as they can reduce size and power consumption. A fully balanced Low-Noise Amplifier (LNA), with embedded tunable filtering functionality, using a single transistor, is presented in this paper. The...

An Adaptive Averaging Low Noise Front-End for Central and Peripheral Nerve Recording
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

An adaptive averaging low noise analog front-end (AFE) is presented for central and peripheral nerve recording applications. The proposed topology allows users to trade off, on the fly, between input referred noise and the number of channels via averaging. The new low...

Sequence Mining based Alarm Suppression
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Despite the high-pace improvement of industrial process automation, the management of abnormal events still requires human actions. Alarm systems are becoming crucial in providing situation-specific information to the decreasing number of operators. The key role...

Tradeoffs Between RF Performance and SET Robustness in Low-Noise Amplifiers in a Complementary SiGe BiCMOS Platform
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Low-Noise amplifiers (LNAs) are necessary components for any communications system. Single-event transients (SET) induced by energetic particles in space can corrupt the data in an RF receiver. Using pnp SiGe HBTs, instead of their more common npn...

A K-/Ka-Band Concurrent Dual-Band Single-Ended Input to Differential Output Low-Noise Amplifier Employing a Novel Transformer Feedback Dual-Band Load
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A concurrent dual-band single-ended input to differential output (single-ended-to-differential) low-noise amplifier (LNA) employing a novel transformer feedback single-ended-to-differential dual-band load is proposed. The developed LNA topology is flexible in controlling...

A 4.2-mW 10-MHz BW 74.4-dB SNDR Continuous-Time Delta-Sigma Modulator With SAR-Assisted Digital-Domain Noise Coupling
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper introduces a high-order continuous-time (CT) delta-sigma modulator (DSM) that applies digital-domain noise coupling (DNC) based on the structural advantages of the successive-approximation register (SAR) analog-to-digital converter (ADC), which...

Adaptive Nonlinear Equalization for Digital Array Receivers
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

As low-cost fully digital array technology becomes more commercialized, techniques need to be developed to be able to deal with many of the inherent problems of these systems. This article focuses on mitigating the intermodulation distortion (IMD) caused by...

IdentifyNet For Non-maximum Suppression
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Two-stage object detectors have achieved great success in recent years. However, recent work mostly focuses on optimizing loss functions or learning multi-level feature representation, while introducing additional homogeneous task to improve detection has been under-explored....

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