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Related Concept Videos

Echo01:06

Echo

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.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case, then the...
Convergent Evolution01:54

Convergent Evolution

Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.The structures that arise from convergent evolution are called analogous structures. They are similar in function even if they are dissimilar in structure. Further, structures can be analogous while also...

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Related Experiment Video

Updated: Jul 12, 2026

Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy
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Computer derivation of some dolphin echolocation signals.

R A Altes

    Science (New York, N.Y.)
    |September 3, 1971
    PubMed
    Summary

    Researchers developed a new sonar signal design method using computer-optimized signal-to-interference ratios. This method accurately measures target velocity, and dolphin-produced sonar waveforms matched theoretical predictions.

    Area of Science:

    • Acoustics
    • Bioacoustics
    • Signal Processing

    Background:

    • Radar theory advancements offer new approaches to sonar signal design.
    • Maximizing signal-to-interference ratio is a key computational strategy.
    • Accurate measurement of target velocity is a critical sonar application.

    Purpose of the Study:

    • To apply advanced radar theory to sonar signal design.
    • To derive sonar signals capable of precise target velocity measurement.
    • To investigate dolphin sonar waveform generation in relation to theoretical models.

    Main Methods:

    • Utilized computer algorithms to maximize signal-to-interference ratios for sonar signal design.
    • Derived novel sonar signals based on these optimized parameters.

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  • Observed and analyzed dolphin sonar waveforms in a controlled experimental setting.

    • Main Results:

    • Successfully derived sonar signals demonstrating accurate target velocity measurement capabilities.
    • Observed dolphin sonar waveforms exhibited strong similarity to theoretically derived signals.
    • Validated the effectiveness of the computer-aided sonar design method.

    Conclusions:

    • The straightforward method of sonar signal design, based on signal-to-interference ratio maximization, is effective.
    • The derived sonar signals show potential for accurate velocity detection.
    • Dolphin sonar behavior aligns with predictions from advanced signal design theory.