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multivariate empirical mode decomposition (memd) algorithm  (MathWorks Inc)


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    Structured Review

    MathWorks Inc multivariate empirical mode decomposition (memd) algorithm
    Multivariate EMD <t>(MEMD)</t> <t>decomposition</t> of the same synthetic trivariate dataset as in , showing mode alignment and significantly reduced mode mixing.
    Multivariate Empirical Mode Decomposition (Memd) Algorithm, 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/multivariate empirical mode decomposition (memd) algorithm/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    multivariate empirical mode decomposition (memd) algorithm - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition"

    Article Title: Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

    Journal: Sensors (Basel, Switzerland)

    doi: 10.3390/s150510923

    Multivariate EMD (MEMD) decomposition of the same synthetic trivariate dataset as in , showing mode alignment and significantly reduced mode mixing.
    Figure Legend Snippet: Multivariate EMD (MEMD) decomposition of the same synthetic trivariate dataset as in , showing mode alignment and significantly reduced mode mixing.

    Techniques Used:

    The IMFs obtained by applying MEMD on the I (top row) and the PAN images (bottom row), shown in . ( a ) MEMD I M F I 1 − 4 ; ( b ) MEMD I M F I 5 − 8 ; ( c ) MEMD I M F I 9 − 12 ; ( d ) MEMD I M F P 1 − 4 ; ( e ) MEMD I M F P 5 − 8 ; ( f ) MEMD I M F P 9 − 12 .
    Figure Legend Snippet: The IMFs obtained by applying MEMD on the I (top row) and the PAN images (bottom row), shown in . ( a ) MEMD I M F I 1 − 4 ; ( b ) MEMD I M F I 5 − 8 ; ( c ) MEMD I M F I 9 − 12 ; ( d ) MEMD I M F P 1 − 4 ; ( e ) MEMD I M F P 5 − 8 ; ( f ) MEMD I M F P 9 − 12 .

    Techniques Used:

    The proposed scheme illustrating the local fusion of P arbitrary images, which yields a single fused image Î , using the MEMD algorithm.
    Figure Legend Snippet: The proposed scheme illustrating the local fusion of P arbitrary images, which yields a single fused image Î , using the MEMD algorithm.

    Techniques Used:

    Multi-exposure image fusion results for Dataset 1. ( a ) Image 1; ( b ) Image 2; ( c ) Image 3; ( d ) Image 4; ( e ) PCA; ( f ) DWT; ( g ) non-subsampled contourlet transform using a single direction (NCT-S); ( h ) NCT-N; ( i ) MEMD.
    Figure Legend Snippet: Multi-exposure image fusion results for Dataset 1. ( a ) Image 1; ( b ) Image 2; ( c ) Image 3; ( d ) Image 4; ( e ) PCA; ( f ) DWT; ( g ) non-subsampled contourlet transform using a single direction (NCT-S); ( h ) NCT-N; ( i ) MEMD.

    Techniques Used:

    Multi-focus image fusion results for Dataset 2. ( a ) Image 1; ( b ) Image 2; ( c ) Image 3; ( d ) Image 4; ( e ) PCA; ( f ) DWT; ( g ) NCT-S; ( h ) NCT-N; ( i ) MEMD.
    Figure Legend Snippet: Multi-focus image fusion results for Dataset 2. ( a ) Image 1; ( b ) Image 2; ( c ) Image 3; ( d ) Image 4; ( e ) PCA; ( f ) DWT; ( g ) NCT-S; ( h ) NCT-N; ( i ) MEMD.

    Techniques Used:

    Multi-focus image fusion results for Dataset 1. ( a ) Image 1; ( b ) Image 2; ( c ) Image 3; ( d ) Image 4; ( e ) PCA; ( f ) DWT; ( g ) NCT-S; ( h ) NCT-N; ( i ) MEMD.
    Figure Legend Snippet: Multi-focus image fusion results for Dataset 1. ( a ) Image 1; ( b ) Image 2; ( c ) Image 3; ( d ) Image 4; ( e ) PCA; ( f ) DWT; ( g ) NCT-S; ( h ) NCT-N; ( i ) MEMD.

    Techniques Used:

    Quantitative analysis on multi-exposure images: bar graphs of the values of quantitative measures, including the E , SF , Q p A B / F and UIQI , shown respectively from the top to the bottom, are obtained for MEMD-, NCT-S-, DWT-, PCA- and NCT-N-based fusion methods.
    Figure Legend Snippet: Quantitative analysis on multi-exposure images: bar graphs of the values of quantitative measures, including the E , SF , Q p A B / F and UIQI , shown respectively from the top to the bottom, are obtained for MEMD-, NCT-S-, DWT-, PCA- and NCT-N-based fusion methods.

    Techniques Used:

    McNemar's statistical test results for multi-exposure data.
    Figure Legend Snippet: McNemar's statistical test results for multi-exposure data.

    Techniques Used:

    Quantitative analysis on multi-focus images: bar graphs of the values of quantitative measures, including the E , SF , Q p A B / F and PM , shown respectively from the top to the bottom, are obtained for MEMD-, NCT-S-, DWT-, PCA- and NCT-N-based fusion methods.
    Figure Legend Snippet: Quantitative analysis on multi-focus images: bar graphs of the values of quantitative measures, including the E , SF , Q p A B / F and PM , shown respectively from the top to the bottom, are obtained for MEMD-, NCT-S-, DWT-, PCA- and NCT-N-based fusion methods.

    Techniques Used:

    McNemar's statistical test results for multi-focus data.
    Figure Legend Snippet: McNemar's statistical test results for multi-focus data.

    Techniques Used:



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    multivariate empirical mode decomposition (memd) algorithm  (MathWorks Inc)
    90
    MathWorks Inc multivariate empirical mode decomposition (memd) algorithm
    Multivariate EMD <t>(MEMD)</t> <t>decomposition</t> of the same synthetic trivariate dataset as in , showing mode alignment and significantly reduced mode mixing.
    Multivariate Empirical Mode Decomposition (Memd) Algorithm, 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/multivariate empirical mode decomposition (memd) algorithm/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    multivariate empirical mode decomposition (memd) algorithm - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Multivariate EMD (MEMD) decomposition of the same synthetic trivariate dataset as in , showing mode alignment and significantly reduced mode mixing.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

    doi: 10.3390/s150510923

    Figure Lengend Snippet: Multivariate EMD (MEMD) decomposition of the same synthetic trivariate dataset as in , showing mode alignment and significantly reduced mode mixing.

    Article Snippet: The multivariate empirical mode decomposition (MEMD) algorithm (The free MATLAB code to compute MEMD decompositions, along with some natural multivariate data sets, is available online [ ]) extends the standard EMD operation to signals containing multiple input channels [ ].

    Techniques:

    The IMFs obtained by applying MEMD on the I (top row) and the PAN images (bottom row), shown in . ( a ) MEMD I M F I 1 − 4 ; ( b ) MEMD I M F I 5 − 8 ; ( c ) MEMD I M F I 9 − 12 ; ( d ) MEMD I M F P 1 − 4 ; ( e ) MEMD I M F P 5 − 8 ; ( f ) MEMD I M F P 9 − 12 .

    Journal: Sensors (Basel, Switzerland)

    Article Title: Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

    doi: 10.3390/s150510923

    Figure Lengend Snippet: The IMFs obtained by applying MEMD on the I (top row) and the PAN images (bottom row), shown in . ( a ) MEMD I M F I 1 − 4 ; ( b ) MEMD I M F I 5 − 8 ; ( c ) MEMD I M F I 9 − 12 ; ( d ) MEMD I M F P 1 − 4 ; ( e ) MEMD I M F P 5 − 8 ; ( f ) MEMD I M F P 9 − 12 .

    Article Snippet: The multivariate empirical mode decomposition (MEMD) algorithm (The free MATLAB code to compute MEMD decompositions, along with some natural multivariate data sets, is available online [ ]) extends the standard EMD operation to signals containing multiple input channels [ ].

    Techniques:

    The proposed scheme illustrating the local fusion of P arbitrary images, which yields a single fused image Î , using the MEMD algorithm.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

    doi: 10.3390/s150510923

    Figure Lengend Snippet: The proposed scheme illustrating the local fusion of P arbitrary images, which yields a single fused image Î , using the MEMD algorithm.

    Article Snippet: The multivariate empirical mode decomposition (MEMD) algorithm (The free MATLAB code to compute MEMD decompositions, along with some natural multivariate data sets, is available online [ ]) extends the standard EMD operation to signals containing multiple input channels [ ].

    Techniques:

    Multi-exposure image fusion results for Dataset 1. ( a ) Image 1; ( b ) Image 2; ( c ) Image 3; ( d ) Image 4; ( e ) PCA; ( f ) DWT; ( g ) non-subsampled contourlet transform using a single direction (NCT-S); ( h ) NCT-N; ( i ) MEMD.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

    doi: 10.3390/s150510923

    Figure Lengend Snippet: Multi-exposure image fusion results for Dataset 1. ( a ) Image 1; ( b ) Image 2; ( c ) Image 3; ( d ) Image 4; ( e ) PCA; ( f ) DWT; ( g ) non-subsampled contourlet transform using a single direction (NCT-S); ( h ) NCT-N; ( i ) MEMD.

    Article Snippet: The multivariate empirical mode decomposition (MEMD) algorithm (The free MATLAB code to compute MEMD decompositions, along with some natural multivariate data sets, is available online [ ]) extends the standard EMD operation to signals containing multiple input channels [ ].

    Techniques:

    Multi-focus image fusion results for Dataset 2. ( a ) Image 1; ( b ) Image 2; ( c ) Image 3; ( d ) Image 4; ( e ) PCA; ( f ) DWT; ( g ) NCT-S; ( h ) NCT-N; ( i ) MEMD.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

    doi: 10.3390/s150510923

    Figure Lengend Snippet: Multi-focus image fusion results for Dataset 2. ( a ) Image 1; ( b ) Image 2; ( c ) Image 3; ( d ) Image 4; ( e ) PCA; ( f ) DWT; ( g ) NCT-S; ( h ) NCT-N; ( i ) MEMD.

    Article Snippet: The multivariate empirical mode decomposition (MEMD) algorithm (The free MATLAB code to compute MEMD decompositions, along with some natural multivariate data sets, is available online [ ]) extends the standard EMD operation to signals containing multiple input channels [ ].

    Techniques:

    Multi-focus image fusion results for Dataset 1. ( a ) Image 1; ( b ) Image 2; ( c ) Image 3; ( d ) Image 4; ( e ) PCA; ( f ) DWT; ( g ) NCT-S; ( h ) NCT-N; ( i ) MEMD.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

    doi: 10.3390/s150510923

    Figure Lengend Snippet: Multi-focus image fusion results for Dataset 1. ( a ) Image 1; ( b ) Image 2; ( c ) Image 3; ( d ) Image 4; ( e ) PCA; ( f ) DWT; ( g ) NCT-S; ( h ) NCT-N; ( i ) MEMD.

    Article Snippet: The multivariate empirical mode decomposition (MEMD) algorithm (The free MATLAB code to compute MEMD decompositions, along with some natural multivariate data sets, is available online [ ]) extends the standard EMD operation to signals containing multiple input channels [ ].

    Techniques:

    Quantitative analysis on multi-exposure images: bar graphs of the values of quantitative measures, including the E , SF , Q p A B / F and UIQI , shown respectively from the top to the bottom, are obtained for MEMD-, NCT-S-, DWT-, PCA- and NCT-N-based fusion methods.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

    doi: 10.3390/s150510923

    Figure Lengend Snippet: Quantitative analysis on multi-exposure images: bar graphs of the values of quantitative measures, including the E , SF , Q p A B / F and UIQI , shown respectively from the top to the bottom, are obtained for MEMD-, NCT-S-, DWT-, PCA- and NCT-N-based fusion methods.

    Article Snippet: The multivariate empirical mode decomposition (MEMD) algorithm (The free MATLAB code to compute MEMD decompositions, along with some natural multivariate data sets, is available online [ ]) extends the standard EMD operation to signals containing multiple input channels [ ].

    Techniques:

    McNemar's statistical test results for multi-exposure data.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

    doi: 10.3390/s150510923

    Figure Lengend Snippet: McNemar's statistical test results for multi-exposure data.

    Article Snippet: The multivariate empirical mode decomposition (MEMD) algorithm (The free MATLAB code to compute MEMD decompositions, along with some natural multivariate data sets, is available online [ ]) extends the standard EMD operation to signals containing multiple input channels [ ].

    Techniques:

    Quantitative analysis on multi-focus images: bar graphs of the values of quantitative measures, including the E , SF , Q p A B / F and PM , shown respectively from the top to the bottom, are obtained for MEMD-, NCT-S-, DWT-, PCA- and NCT-N-based fusion methods.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

    doi: 10.3390/s150510923

    Figure Lengend Snippet: Quantitative analysis on multi-focus images: bar graphs of the values of quantitative measures, including the E , SF , Q p A B / F and PM , shown respectively from the top to the bottom, are obtained for MEMD-, NCT-S-, DWT-, PCA- and NCT-N-based fusion methods.

    Article Snippet: The multivariate empirical mode decomposition (MEMD) algorithm (The free MATLAB code to compute MEMD decompositions, along with some natural multivariate data sets, is available online [ ]) extends the standard EMD operation to signals containing multiple input channels [ ].

    Techniques:

    McNemar's statistical test results for multi-focus data.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

    doi: 10.3390/s150510923

    Figure Lengend Snippet: McNemar's statistical test results for multi-focus data.

    Article Snippet: The multivariate empirical mode decomposition (MEMD) algorithm (The free MATLAB code to compute MEMD decompositions, along with some natural multivariate data sets, is available online [ ]) extends the standard EMD operation to signals containing multiple input channels [ ].

    Techniques: