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Interference: Path Lengths

Interference: Path Lengths

Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...

Echo

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The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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Sound Waves: Interference

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Related Experiment Video

Updated: Jun 15, 2026

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

Surface wave delay line acoustooptic devices for signal processing.

N J Berg, J N Lee, M W Casseday

|March 10, 2010

Summary

Acoustooptic devices perform electronic signal processing using light and sound waves. Researchers achieved real-time signal correlation, convolution, and Fourier transforms, demonstrating advanced signal processing capabilities.

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Last Updated: Jun 15, 2026

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Published on: August 27, 2013

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Published on: May 3, 2011

Area of Science:

Applied Physics
Electrical Engineering
Signal Processing

Background:

Acoustooptic devices offer unique capabilities for electronic signal processing.
The Bragg interaction between light and surface acoustic waves is a key principle.

Purpose of the Study:

To develop and demonstrate acoustooptic devices for advanced electronic signal processing.
To explore real-time signal convolution, correlation, and Fourier transform applications.

Main Methods:

Utilizing the Bragg interaction in crystalline delay lines with surface acoustic waves.
Implementing acoustooptic devices for signal processing tasks.
Employing a novel photorefractive effect for memory correlator development.

Main Results:

Achieved real-time convolution and correlation of signals.
Demonstrated a real-time continuous Fourier transform.
Developed a programmable memory correlator using a photorefractive effect in lithium niobate.

Conclusions:

Acoustooptic devices are effective for real-time electronic signal processing.
Photorefractive effects enable advanced functionalities like programmable memory correlation.
Future applications include long discrete Fourier transforms and omega-k beam forming.