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matlab function sgolayfilt  (MathWorks Inc)


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    MathWorks Inc matlab function sgolayfilt
    Matlab Function Sgolayfilt, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 98/100, based on 1081 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+sgolayfilt+function/Signal+Processing+Toolbox/bio_rxiv__2025__01__27__634389-142-1-1
    Average 98 stars, based on 1081 article reviews
    matlab function sgolayfilt - by Bioz Stars, 2026-09
    98/100 stars

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    Article Title: High-Throughput Nanoparticle Characterization via Glow Discharge Optical Emission Spectroscopy Elemental Mapping.
    Article Snippet: Nanoparticle (NP) characterization is critical in many fields due to the use of NPs in numerous applications.. Traditional NP characterization techniques, however, are limited by low sample throughput, and few can measure the size and elemental composition.. Furthermore, sample throughput limitations are compounded in elemental mapping (EM) techniques for obtaining NP spatial distribution.



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    Estimation of the width of the STB using the <t>“sgolayfilt”</t> and “findpeaks” MATLAB functions. Black solid curve: STB signals from two subjects (IL, left at 120 min and LS, left at 60 min). Dashed red curve: fitting with the sgolayfilt algorithm with polynomial of order 3 and window length of 250 ms.These values work well for low and high burst-frequencies and low and high burst-widths. Red triangles and dashed vertical lines indicate the identified maxima. The dashed blue horizontal lines indicate the width of each peak. Widths are measured at half the difference between each peak and the highest of the two adjacent valleys (prominence).
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    Estimation of the width of the STB using the <t>“sgolayfilt”</t> and “findpeaks” MATLAB functions. Black solid curve: STB signals from two subjects (IL, left at 120 min and LS, left at 60 min). Dashed red curve: fitting with the sgolayfilt algorithm with polynomial of order 3 and window length of 250 ms.These values work well for low and high burst-frequencies and low and high burst-widths. Red triangles and dashed vertical lines indicate the identified maxima. The dashed blue horizontal lines indicate the width of each peak. Widths are measured at half the difference between each peak and the highest of the two adjacent valleys (prominence).
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    Estimation of the width of the STB using the “sgolayfilt” and “findpeaks” MATLAB functions. Black solid curve: STB signals from two subjects (IL, left at 120 min and LS, left at 60 min). Dashed red curve: fitting with the sgolayfilt algorithm with polynomial of order 3 and window length of 250 ms.These values work well for low and high burst-frequencies and low and high burst-widths. Red triangles and dashed vertical lines indicate the identified maxima. The dashed blue horizontal lines indicate the width of each peak. Widths are measured at half the difference between each peak and the highest of the two adjacent valleys (prominence).

    Journal: Scientific Reports

    Article Title: Right-left sEMG burst synchronization of the lumbar erector spinae muscles of seated violin players

    doi: 10.1038/s41598-024-69531-z

    Figure Lengend Snippet: Estimation of the width of the STB using the “sgolayfilt” and “findpeaks” MATLAB functions. Black solid curve: STB signals from two subjects (IL, left at 120 min and LS, left at 60 min). Dashed red curve: fitting with the sgolayfilt algorithm with polynomial of order 3 and window length of 250 ms.These values work well for low and high burst-frequencies and low and high burst-widths. Red triangles and dashed vertical lines indicate the identified maxima. The dashed blue horizontal lines indicate the width of each peak. Widths are measured at half the difference between each peak and the highest of the two adjacent valleys (prominence).

    Article Snippet: Figure 7 Estimation of the width of the STB using the “sgolayfilt” and “findpeaks” MATLAB functions.

    Techniques: