Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Cell-based wideband variable-gain amplifier with accurate gain adjustment in 65 nm CMOS technology
Cell-Based Variable-Gain Amplifiers With Accurate dB-Linear Characteristic in 0.18 µm CMOS Technology
A CMOS linear-in-dB high-linearity variable-gain amplifier for UWB receivers
on the design of wideband cmos low - noise amplifiers .
Staggered Gain for 100+ GHz Broadband Amplifiers
60GHz high-gain low-noise amplifiers with a common-gate inductive feedback in 65nm CMOS
A Wideband Variable Gain LNA With High OIP3 for 5G Using 40-nm Bulk CMOS
A Differential CMOS Automatic Gain Control Amplifier
A 60 GHz linear wideband power amplifier using cascode neutralization in 28 nm CMOS
0.8V bulk-driven variable gain amplifier
A 30 GHz Variable Gain Amplifier With High Output Voltage Swing for Ultra-Wideband Radar
6W Ka Band Power Amplifier and 1.2dB NF X-Band Amplifier Using a 100nm GaN/Si Process
Analysis and design of common-gate low-noise amplifier for wideband applications
A compact 0.3–10 GHz broadband stacked amplifier in 65nm standard CMOS
A wideband unity-gain buffer in 0.13-μm CMOS
Inductorless Wideband CMOS Low-Noise Amplifiers Using Noise-Canceling Technique
A wideband LNA with an excellent gain flatness for 60 GHz 16QAM modulation in 65 nm CMOS
A Wideband CMOS Noise-Canceling Low-Noise Amplifier With High Linearity
A 2.4 GHz gain-boosted CMOS amplifier using multibias points for improved linearization
Wide-band CMOS low-noise amplifier exploiting thermal noise canceling
An 84 GHz Bandwidth and 20 dB Gain Broadband Amplifier in SiGe Bipolar Technology
Specific Treatment to Neural Networks for Repeated Measures Analysis
A parallel and robust object tracking approach synthesizing adaptive Bayesian learning and improved incremental subspace learning
High-Performance Shielded Coplanar Waveguides for the Design of CMOS 60-GHz Bandpass Filters
Kalman-Filter-Based Orientation Determination Using Inertial/Magnetic Sensors: Observability Analysis and Performance Evaluation
Friendly Artificial Intelligence: the Physics Challenge