Document Type

Closed Project

Publication Date

Fall 2015

Instructor

Jisun Kim

Course Title

Technology Forecasting

Course Number

ETM 532

Abstract

Technology forecasting techniques are used to predict future technical features and capabilities of products and systems. These techniques are also used to estimate the approximate timeframe in which technological advancements will take place in these products and systems. This paper uses TFDEA to explore the technological Rate-of-Change (RoC) in analog MEMS microphones. Today, MEMS microphones are commonly used in smartphones, tablets, hearing aids, and within automobiles. The market for MEMS microphones now exceeds $1.2 billion. As the technical performance of MEMS microphones continues to improve, the applications in which the microphones are used is expanding, including far field and directional microphone array systems. This paper focuses on the Signal-to-Noise Ratio (SNR), and Acoustic Overload Point (AOP) characteristics of analog MEMS microphones.

Rights

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

Comments

This project is only available to students, staff, and faculty of Portland State University

Persistent Identifier

http://archives.pdx.edu/ds/psu/21556

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