Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A 0.4V ultra low-power UWB CMOS LNA employing noise cancellation
Wideband Common-Gate CMOS LNA Employing Dual Negative Feedback With Simultaneous Noise, Gain, and Bandwidth Optimization
Millimeter-Wave Low-Noise Amplifier Design in 28-nm Low-Power Digital CMOS
A 3.6cm2 wirelessly-powered UWB SoC with −30.7dBm rectifier sensitivity and sub-10cm range resolution
A 1.6 mW 5.4 GHz transformer-feedback gm-boosted current-reuse LNA in 0.18/μm CMOS
A Fully Integrated 1 . 9-GHz CMOS Low-Noise Amplifier
Inductorless 1–10.5 GHz wideband LNA for multistandard applications
A Wideband Variable Gain LNA With High OIP3 for 5G Using 40-nm Bulk CMOS
A Millimeter-Wave (23–32 GHz) Wideband BiCMOS Low-Noise Amplifier
Low power CMOS re-programmable pulse generator for UWB systems
X/Ku Band CMOS LNA Design Techniques
on the design of wideband cmos low - noise amplifiers .
Design and Analysis of a 21–29-GHz Ultra-Wideband Receiver Front-End in 0.18-$\mu$ m CMOS Technology
Analysis and Design of an Integrated Notch Filter for the Rejection of Interference in UWB Systems
A Noise Reduction and Linearity Improvement Technique for a Differential Cascode LNA
Ultra wideband, low-power, 3-5.6 GHz, CMOS voltage-controlled oscillator
Compact UWB Filter With Double Notch-Bands Using Multilayer LCP Technology
A 0.6–6.2 GHz wideband LNA using resistive feedback and gate inductive peaking techniques for multiple standards application
A 0.3–6GHz broadband noise cancelling low noise amplifier
Analysis and design of common-gate low-noise amplifier for wideband applications
Single-chip CMOS pulse generator for UWB systems
A CMOS Low-Noise Amplifier With Reconfigurable Input Matching Network
Lessons from the Cancer Genome
NDVI Short-Term Forecasting Using Recurrent Neural Networks
On the importance of single directions for generalization
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning