script-based matlab libraries Search Results


90
MathWorks Inc script-based matlab libraries
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MathWorks Inc matlab svd function
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MathWorks Inc open source ita toolbox matlab library
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MathWorks Inc matlab-based scripts
Matlab Based Scripts, 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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MathWorks Inc function libraries, or toolboxes
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MathWorks Inc custom-written script in
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MathWorks Inc (7.10) data files
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MathWorks Inc matlab 7.4
Matlab 7.4, 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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MathWorks Inc matlab-based multilayer feed-forward neural networks
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MathWorks Inc matlab r2015a
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MathWorks Inc biopatrec
Feature extraction times for different datasets and features.
Biopatrec, 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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MathWorks Inc matlab 2021a
Feature extraction times for different datasets and features.
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Image Search Results


Feature extraction times for different datasets and features.

Journal: Frontiers in Neurorobotics

Article Title: PaWFE: Fast Signal Feature Extraction Using Parallel Time Windows

doi: 10.3389/fnbot.2019.00074

Figure Lengend Snippet: Feature extraction times for different datasets and features.

Article Snippet: Examples of publicly available code to run sEMG data analyses include: Biopatrec, a MATLAB-based research platform for the control of artificial limbs based on pattern recognition algorithms (Ortiz-Catalan et al., ); the Myoelectric Control Development Toolbox , a set of MATLAB scripts for myoelectric control (Chan and Green, ); The BioSig project, an open source library for bioelectric signal processing ; Bio-SP tool (Nabian et al., ); Physiolab (Muñoz et al., ).

Techniques: Extraction

Extracted signal features validation: random Forests classification results obtained using the considered signal features. The histogram includes the classification accuracy obtained for the signal features extracted using BioPatRec as reference.

Journal: Frontiers in Neurorobotics

Article Title: PaWFE: Fast Signal Feature Extraction Using Parallel Time Windows

doi: 10.3389/fnbot.2019.00074

Figure Lengend Snippet: Extracted signal features validation: random Forests classification results obtained using the considered signal features. The histogram includes the classification accuracy obtained for the signal features extracted using BioPatRec as reference.

Article Snippet: Examples of publicly available code to run sEMG data analyses include: Biopatrec, a MATLAB-based research platform for the control of artificial limbs based on pattern recognition algorithms (Ortiz-Catalan et al., ); the Myoelectric Control Development Toolbox , a set of MATLAB scripts for myoelectric control (Chan and Green, ); The BioSig project, an open source library for bioelectric signal processing ; Bio-SP tool (Nabian et al., ); Physiolab (Muñoz et al., ).

Techniques: Biomarker Discovery