Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Integrated 105 dB SNR, 0.0031% THD+N Class-D Audio Amplifier With Global Feedback and Digital Control in 55 nm CMOS
A 20W/channel Class-D amplifier with significantly reduced common-mode radiated emissions
350 mV, 5 GHz Class-D Enhanced Swing Differential and Quadrature VCOs in 65 nm CMOS
Modified CMOS Cherry-Hooper amplifiers with source follower feedback in 0.35/spl mu/m technology
A 1.2 V Reactive-Feedback 3.1–10.6 GHz Low-Noise Amplifier in 0.13 $\mu{\hbox {m}}$ CMOS
A Load-Adaptive Class-G Headphone Amplifier With Supply-Rejection Bandwidth Enhancement Technique
Design of CMOS class-E power amplifier for WLAN and bluetooth applications
A low-power 75 dB digitally programmable variable-gain amplifier in 0.18μm CMOS
Lossless Feedback Amplifiers: Theory and Advanced Techniques
A -60dB THD/100MHz true unity-gain voltage buffer CMOS circuit
A 1-V 190-μW Delta-Sigma Audio ADC in 0.13-μm full digital CMOS techonology
High-Drive and Linear CMOS Class-AB Pseudo-Differential Amplifier
Output power enhancement of full-bridge class-D amplifier
Simple Real-Time Digital PWM Implementation for Class-D Amplifiers With Distortion-Free Baseband
A 0.1–1.5GHz dual-mode Class-AB/Class-F power amplifier in 65nm CMOS
Ultra-wideband low noise amplifier with shunt resistive feedback in 0.18µm CMOS process
The Analyzing Of A Cascaded Multilevel Class-D Power Amplifier With the Carrier-Based Phase-Shifted Modulation
PWM Power Audio Amplifier With Voltage/Current Mixed Feedback for High-Efficiency Speakers
A 0.5-V Wideband Amplifier for a 1-MHz CT Complex Delta-Sigma Modulator
High-performance CMOS current feedback operational amplifier
High efficiency 5GHz CMOS power amplifier with adaptive bias control circuit
Technology Acceptance Model as a predictor of using information system’ to acquire information literacy skills
Low cost implementation of filterless class D audio amplifier with constant switching frequency
Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems
Natural scenes in tactile texture
Eigenfeature Regularization and Extraction in Face Recognition