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Related Concept Videos

Aliasing01:18

Aliasing

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.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear.
Doppler Effect - II01:05

Doppler Effect - II

The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single stretching vibration...
Doppler Effect - I00:56

Doppler Effect - I

The Doppler effect and Doppler shift were named after the Austrian physicist and mathematician Christian Johann Doppler in 1842, who conducted experiments with both moving sources and moving observers. Consider an observer standing on a street corner, observing an ambulance with a siren sound passing by at a constant speed. The observer experiences two characteristic changes in the sound of the siren. Initially, the sound increases in loudness as the ambulance approaches and decreases in...
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Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...

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Range aliasing in frequency coherent geoacoustic inversion.

Caglar Yardim1, Peter Gerstoft, William S Hodgkiss

  • 1Marine Physical Laboratory, Scripps Institution of Oceanography, La Jolla, California 92093-0238, USA. cyardim@ucsd.edu

The Journal of the Acoustical Society of America
|October 7, 2011
PubMed
Summary
This summary is machine-generated.

Choosing the right frequencies is crucial for accurate underwater source localization and geoacoustic inversion. This study shows how frequency selection impacts range aliasing, improving acoustic data analysis.

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Area of Science:

  • Underwater acoustics
  • Geophysical signal processing
  • Oceanography

Background:

  • Matched-field processing (MFP) relies on frequency-coherent objective functions for source localization and geoacoustic inversion.
  • These methods can suffer from range ambiguity due to fluctuating surfaces in the range-depth domain.
  • Inadequate frequency sampling introduces range aliasing, complicating accurate environmental inversion.

Purpose of the Study:

  • To investigate the impact of frequency selection on source localization and geoacoustic inversion.
  • To analyze the influence of range aliasing, caused by insufficient frequency sampling, on inversion accuracy.
  • To provide practical guidance for selecting optimal frequencies to mitigate range aliasing.

Main Methods:

  • Analysis of frequency-coherent objective functions in matched-field processors.
  • Examination of range ambiguity surfaces and their fluctuations with frequency.
  • Demonstration of range aliasing effects using data from the MAPEX2000 experiment.

Main Results:

  • Rapidly fluctuating range ambiguity surfaces are characteristic of frequency-coherent MFP.
  • Insufficient frequency domain sampling leads to range aliasing, significantly affecting geoacoustic inversion.
  • The study quantifies the detrimental effects of range aliasing on both source localization and environmental parameter estimation.

Conclusions:

  • Careful frequency selection is essential to avoid range aliasing in acoustic data processing.
  • Implementing informed frequency selection strategies can enhance the accuracy of source localization and geoacoustic inversion.
  • The findings offer practical guidance for optimizing acoustic experiments and data analysis in underwater environments.