scispace - formally typeset
D

David T. Yeh

Researcher at Stanford University

Publications -  29
Citations -  1264

David T. Yeh is an academic researcher from Stanford University. The author has contributed to research in topics: Capacitive micromachined ultrasonic transducers & Ultrasonic sensor. The author has an hindex of 20, co-authored 29 publications receiving 1194 citations. Previous affiliations of David T. Yeh include Helsinki University of Technology.

Papers
More filters
Journal ArticleDOI

Integration of 2D CMUT arrays with front-end electronics for volumetric ultrasound imaging

TL;DR: Combining the transducers array and IC allows for better utilization of large arrays, improves receive sensitivity, and may lead to new imaging techniques that depend on transducer arrays that are closely coupled to IC electronics.
Journal ArticleDOI

3-D ultrasound imaging using a forward-looking CMUT ring array for intravascular/intracardiac applications

TL;DR: This work presents compelling, full-synthetic, phased-array volumetric images from a forward-viewing capacitive micromachined ultrasonic transducer (CMUT) ring array wire bonded to a custom integrated circuit front end.
Journal ArticleDOI

Experimental characterization of collapse-mode CMUT operation

TL;DR: Compared frequency response and efficiency of the transducer in conventional and collapse regimes, experimental results show that a collapsed membrane can be used to generate and detect ultrasound more efficiently than a membrane operated in the conventional mode.
Journal ArticleDOI

A review of digital techniques for modeling vacuum-tube guitar amplifiers

TL;DR: The next step in the evolution of tube-amplifier emulation has been to simulate the amplifiers using computers and digital signal processors (DSP).
Journal ArticleDOI

Automated Physical Modeling of Nonlinear Audio Circuits For Real-Time Audio Effects—Part I: Theoretical Development

TL;DR: A procedural approach to derive nonlinear filters from schematics of audio circuits for the purpose of digitally emulating analog musical effects circuits in real time and a related nonlinear discrete-time state-space algorithm is proposed to alleviate problems in solving particular circuit configurations.