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.
Metzar, Nick, "Forecasting Analog
MEMS Microphones with
TFDEA" (2015). Engineering and Technology Management Student Projects. 175.