2-d fft matlab function Search Results


2d fft function  (MathWorks Inc)
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2d fft  (MathWorks Inc)
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2-d fft  (MathWorks Inc)
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2d-fft routine  (MathWorks Inc)
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2d Fft Routine, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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inverse 2d fft  (MathWorks Inc)
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2-d fft function  (MathWorks Inc)
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2 D Fft Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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2d fast fourier transform (fft) matlab code  (MathWorks Inc)
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2d Fast Fourier Transform (Fft) Matlab Code, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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2-dimensional fft  (MathWorks Inc)
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Background image power spectra, RF locations, and adaptation. A: the locations of RFs are indicated by 1° yellow circles (the average RF size) at their locations on the background image during fixation 1. Adaptation appears to have occurred in the RFs on the first fixation and been over into the second fixation. The red square indicates the aggregate RF area for all neurons studied. In addition to the RFs, we show white circles to indicate the corresponding upper visual field locations where stimuli would appear on the second fixation; these were included for the 2AFC behavioral task, and presumably, adaptation occurred at these sites as well. B, left: a 2-dimensional (2-D) <t>FFT</t> (MATLAB <t>fft2)</t> of the entire background image (blue border). The red boxes show the aggregate RF area on the background image and its 2-D FFT. In both the overall image and the aggregate RF area, low spatial frequencies were dominant. C: radially averaged power spectra are shown for three 1° background-image RF areas used in the contrast sensitivity task (cyc/deg, cycles/degree). We examined the power spectra of all background-image RF areas and found them to be similarly dominated by lower spatial frequencies.
2 Dimensional Fft, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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numeric fourier domain convolution using matlab’s 2-d fft  (MathWorks Inc)
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MathWorks Inc numeric fourier domain convolution using matlab’s 2-d fft
Background image power spectra, RF locations, and adaptation. A: the locations of RFs are indicated by 1° yellow circles (the average RF size) at their locations on the background image during fixation 1. Adaptation appears to have occurred in the RFs on the first fixation and been over into the second fixation. The red square indicates the aggregate RF area for all neurons studied. In addition to the RFs, we show white circles to indicate the corresponding upper visual field locations where stimuli would appear on the second fixation; these were included for the 2AFC behavioral task, and presumably, adaptation occurred at these sites as well. B, left: a 2-dimensional (2-D) <t>FFT</t> (MATLAB <t>fft2)</t> of the entire background image (blue border). The red boxes show the aggregate RF area on the background image and its 2-D FFT. In both the overall image and the aggregate RF area, low spatial frequencies were dominant. C: radially averaged power spectra are shown for three 1° background-image RF areas used in the contrast sensitivity task (cyc/deg, cycles/degree). We examined the power spectra of all background-image RF areas and found them to be similarly dominated by lower spatial frequencies.
Numeric Fourier Domain Convolution Using Matlab’s 2 D Fft, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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2-d fast fourier transform  (MathWorks Inc)
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MathWorks Inc 2-d fast fourier transform
Background image power spectra, RF locations, and adaptation. A: the locations of RFs are indicated by 1° yellow circles (the average RF size) at their locations on the background image during fixation 1. Adaptation appears to have occurred in the RFs on the first fixation and been over into the second fixation. The red square indicates the aggregate RF area for all neurons studied. In addition to the RFs, we show white circles to indicate the corresponding upper visual field locations where stimuli would appear on the second fixation; these were included for the 2AFC behavioral task, and presumably, adaptation occurred at these sites as well. B, left: a 2-dimensional (2-D) <t>FFT</t> (MATLAB <t>fft2)</t> of the entire background image (blue border). The red boxes show the aggregate RF area on the background image and its 2-D FFT. In both the overall image and the aggregate RF area, low spatial frequencies were dominant. C: radially averaged power spectra are shown for three 1° background-image RF areas used in the contrast sensitivity task (cyc/deg, cycles/degree). We examined the power spectra of all background-image RF areas and found them to be similarly dominated by lower spatial frequencies.
2 D Fast Fourier Transform, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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2d fft routine  (MathWorks Inc)
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MathWorks Inc 2d fft routine
Background image power spectra, RF locations, and adaptation. A: the locations of RFs are indicated by 1° yellow circles (the average RF size) at their locations on the background image during fixation 1. Adaptation appears to have occurred in the RFs on the first fixation and been over into the second fixation. The red square indicates the aggregate RF area for all neurons studied. In addition to the RFs, we show white circles to indicate the corresponding upper visual field locations where stimuli would appear on the second fixation; these were included for the 2AFC behavioral task, and presumably, adaptation occurred at these sites as well. B, left: a 2-dimensional (2-D) <t>FFT</t> (MATLAB <t>fft2)</t> of the entire background image (blue border). The red boxes show the aggregate RF area on the background image and its 2-D FFT. In both the overall image and the aggregate RF area, low spatial frequencies were dominant. C: radially averaged power spectra are shown for three 1° background-image RF areas used in the contrast sensitivity task (cyc/deg, cycles/degree). We examined the power spectra of all background-image RF areas and found them to be similarly dominated by lower spatial frequencies.
2d Fft Routine, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/2d fft routine/product/MathWorks Inc
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2d fft analysis  (MathWorks Inc)
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MathWorks Inc 2d fft analysis
Background image power spectra, RF locations, and adaptation. A: the locations of RFs are indicated by 1° yellow circles (the average RF size) at their locations on the background image during fixation 1. Adaptation appears to have occurred in the RFs on the first fixation and been over into the second fixation. The red square indicates the aggregate RF area for all neurons studied. In addition to the RFs, we show white circles to indicate the corresponding upper visual field locations where stimuli would appear on the second fixation; these were included for the 2AFC behavioral task, and presumably, adaptation occurred at these sites as well. B, left: a 2-dimensional (2-D) <t>FFT</t> (MATLAB <t>fft2)</t> of the entire background image (blue border). The red boxes show the aggregate RF area on the background image and its 2-D FFT. In both the overall image and the aggregate RF area, low spatial frequencies were dominant. C: radially averaged power spectra are shown for three 1° background-image RF areas used in the contrast sensitivity task (cyc/deg, cycles/degree). We examined the power spectra of all background-image RF areas and found them to be similarly dominated by lower spatial frequencies.
2d Fft Analysis, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Background image power spectra, RF locations, and adaptation. A: the locations of RFs are indicated by 1° yellow circles (the average RF size) at their locations on the background image during fixation 1. Adaptation appears to have occurred in the RFs on the first fixation and been over into the second fixation. The red square indicates the aggregate RF area for all neurons studied. In addition to the RFs, we show white circles to indicate the corresponding upper visual field locations where stimuli would appear on the second fixation; these were included for the 2AFC behavioral task, and presumably, adaptation occurred at these sites as well. B, left: a 2-dimensional (2-D) FFT (MATLAB fft2) of the entire background image (blue border). The red boxes show the aggregate RF area on the background image and its 2-D FFT. In both the overall image and the aggregate RF area, low spatial frequencies were dominant. C: radially averaged power spectra are shown for three 1° background-image RF areas used in the contrast sensitivity task (cyc/deg, cycles/degree). We examined the power spectra of all background-image RF areas and found them to be similarly dominated by lower spatial frequencies.

Journal: Journal of Neurophysiology

Article Title: Contrast sensitivity, V1 neural activity, and natural vision

doi: 10.1152/jn.00635.2016

Figure Lengend Snippet: Background image power spectra, RF locations, and adaptation. A: the locations of RFs are indicated by 1° yellow circles (the average RF size) at their locations on the background image during fixation 1. Adaptation appears to have occurred in the RFs on the first fixation and been over into the second fixation. The red square indicates the aggregate RF area for all neurons studied. In addition to the RFs, we show white circles to indicate the corresponding upper visual field locations where stimuli would appear on the second fixation; these were included for the 2AFC behavioral task, and presumably, adaptation occurred at these sites as well. B, left: a 2-dimensional (2-D) FFT (MATLAB fft2) of the entire background image (blue border). The red boxes show the aggregate RF area on the background image and its 2-D FFT. In both the overall image and the aggregate RF area, low spatial frequencies were dominant. C: radially averaged power spectra are shown for three 1° background-image RF areas used in the contrast sensitivity task (cyc/deg, cycles/degree). We examined the power spectra of all background-image RF areas and found them to be similarly dominated by lower spatial frequencies.

Article Snippet: B , left : a 2-dimensional (2-D) FFT (MATLAB fft2) of the entire background image (blue border).

Techniques: