matlab function ‘dist (MathWorks Inc)
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matlab function ‘dist
Matlab Function ‘Dist, 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/product/dist+function/pm35240583-161-25-23
Average 90 stars, based on 1 article reviews
Matlab Function ‘Dist, 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/product/dist+function/pm35240583-161-25-23
Average 90 stars, based on 1 article reviews
matlab function ‘dist - by Bioz Stars,
2026-09
90/100 stars
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Sampling:Article Title: Robust Orientation Estimation from MEMS Magnetic, Angular Rate, and Gravity (MARG) Modules for Human–Computer Interaction Article Snippet: To assess the orientation differences between results from our proposed GMVDK and the traditional Kalman filter estimator, the quaternion angle difference (QAD) between these quaternions was computed at every sampling instant, using the Article Title: Robust Orientation Estimation from MEMS Magnetic, Angular Rate, and Gravity (MARG) Modules for Human-Computer Interaction. Article Snippet: To assess the orientation differences between results from our proposed GMVDK and the traditional Kalman filter estimator, the quaternion angle difference (QAD) between these quaternions was computed at every sampling instant, using the “dist” command from Matlab® [50], which we verified yields the same results as the formulation to obtain the QAD between quaternions qa and qb presented in [34]: QAD( q , q ) = cos (2 〈q ∙ q 〉 − 1) (25) where Article Title: Virtual reality validation of naturalistic modulation strategies to counteract fading in retinal stimulation. Article Snippet: Tomeasure the spread of head rotations, we calculated the average rotation of the head away from the stimulus for each trial, using the Article Title: Robust Orientation Estimation from MEMS Magnetic, Angular Rate, and Gravity (MARG) Modules for Human-Computer Interaction. Article Snippet: To assess the orientation differences between results from our proposed GMVDK and the traditional Kalman filter estimator, the quaternion angle difference (QAD) between these quaternions was computed at every sampling instant, using the “dist” command from Matlab® [50], which we verified yields the same results as the formulation to obtain the QAD between quaternions qa and qb presented in [34]: QAD( qa, qb) = cos −1(2 ⟨qa · qb⟩ − 1) (25) where Formulation:Article Title: Robust Orientation Estimation from MEMS Magnetic, Angular Rate, and Gravity (MARG) Modules for Human–Computer Interaction Article Snippet: To assess the orientation differences between results from our proposed GMVDK and the traditional Kalman filter estimator, the quaternion angle difference (QAD) between these quaternions was computed at every sampling instant, using the Article Title: Robust Orientation Estimation from MEMS Magnetic, Angular Rate, and Gravity (MARG) Modules for Human-Computer Interaction. Article Snippet: To assess the orientation differences between results from our proposed GMVDK and the traditional Kalman filter estimator, the quaternion angle difference (QAD) between these quaternions was computed at every sampling instant, using the “dist” command from Matlab® [50], which we verified yields the same results as the formulation to obtain the QAD between quaternions qa and qb presented in [34]: QAD( q , q ) = cos (2 〈q ∙ q 〉 − 1) (25) where Article Title: Virtual reality validation of naturalistic modulation strategies to counteract fading in retinal stimulation. Article Snippet: Tomeasure the spread of head rotations, we calculated the average rotation of the head away from the stimulus for each trial, using the Article Title: Robust Orientation Estimation from MEMS Magnetic, Angular Rate, and Gravity (MARG) Modules for Human-Computer Interaction. Article Snippet: To assess the orientation differences between results from our proposed GMVDK and the traditional Kalman filter estimator, the quaternion angle difference (QAD) between these quaternions was computed at every sampling instant, using the “dist” command from Matlab® [50], which we verified yields the same results as the formulation to obtain the QAD between quaternions qa and qb presented in [34]: QAD( qa, qb) = cos −1(2 ⟨qa · qb⟩ − 1) (25) where |