Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Properties of Fourier series II01:21

Properties of Fourier series II

Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...
Discrete Fourier Transform01:15

Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
Fast Fourier Transform01:10

Fast Fourier Transform

The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
Basic signals of Fourier Transform01:07

Basic signals of Fourier Transform

The Fourier Transform is a pivotal mathematical tool in signal processing, enabling the transformation of time-domain signals into their frequency-domain representations. Among the numerous elements within this domain, certain functions like the sinc function, delta function, and exponential signals hold significant importance due to their unique properties and implications.
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at zero. It...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Larvicidal and adulticidal activity of extracts and essential oil of Hyptis dilatata Benth against Aedes (Stegomyia) aegypti (Linnaeus, 1762), Anopheles spp and Anopheles darlingi Root, 1926.

Brazilian journal of biology = Revista brasleira de biologia·2025
Same author

Surface inspection via projection interferometry.

Applied optics·2010
Same author

Speckle averaging in wave-front conjugation.

Applied optics·2010
Same author

Rotational matched spatial filter for biological pattern recognition.

Applied optics·2010
Same author

Multispectral size-averaged incoherent spatial filtering.

Applied optics·2010
Same author

Coherent spatial filtering with simulated input.

Applied optics·2010

Related Experiment Video

Updated: Jun 12, 2026

Characterization Of Multi-layered Fish Scales (Atractosteus spatula) Using Nanoindentation, X-ray CT, FTIR, and SEM
10:06

Characterization Of Multi-layered Fish Scales (Atractosteus spatula) Using Nanoindentation, X-ray CT, FTIR, and SEM

Published on: July 10, 2014

Optical Fourier transform characterization of fish scale age.

S P Almeida, R W Wygant, A Jearld

    Applied Optics
    |May 22, 2010
    PubMed
    Summary

    Optical Fourier transforms of haddock fish scales can distinguish fish age. Analyzing scale patterns using digital image processing revealed distinct age-related variations, aiding in fish population studies.

    Area of Science:

    • Ichthyology
    • Biophysics
    • Image Analysis

    Background:

    • Fish scales contain biological information.
    • Age estimation is crucial for fisheries management.
    • Optical Fourier transforms offer a novel analytical approach.

    Purpose of the Study:

    • To investigate the potential of optical Fourier transforms of haddock fish scales for age discrimination.
    • To compare scale patterns from fish in different aquatic environments.
    • To establish a digital method for analyzing scale-based age data.

    Main Methods:

    • Haddock fish scales were collected from two distinct water bodies.
    • Optical Fourier transforms were applied to digitized scale images.
    • Statistical correlation analyses were performed on the transform data using personal computers.

    More Related Videos

    The Optokinetic Response as a Quantitative Measure of Visual Acuity in Zebrafish
    04:56

    The Optokinetic Response as a Quantitative Measure of Visual Acuity in Zebrafish

    Published on: October 9, 2013

    Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
    10:56

    Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

    Published on: March 6, 2014

    Related Experiment Videos

    Last Updated: Jun 12, 2026

    Characterization Of Multi-layered Fish Scales (Atractosteus spatula) Using Nanoindentation, X-ray CT, FTIR, and SEM
    10:06

    Characterization Of Multi-layered Fish Scales (Atractosteus spatula) Using Nanoindentation, X-ray CT, FTIR, and SEM

    Published on: July 10, 2014

    The Optokinetic Response as a Quantitative Measure of Visual Acuity in Zebrafish
    04:56

    The Optokinetic Response as a Quantitative Measure of Visual Acuity in Zebrafish

    Published on: October 9, 2013

    Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
    10:56

    Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

    Published on: March 6, 2014

    Main Results:

    • Digitized Fourier transforms of scales showed variations.
    • Statistical correlations demonstrated good age discrimination within scale groups.
    • The method proved effective for differentiating scale ages.

    Conclusions:

    • Optical Fourier transforms of fish scales provide a viable method for age determination.
    • This technique can be applied to fish from different environments.
    • Digital image processing enhances the analysis of biological structures for aging fish.