88 related articles for article (PubMed ID: 25090511)
1. Calibration of optical tweezers based on an autoregressive model.
Wang ZQ; Zhou JH; Zhong MC; Li D; Li YM
Opt Express; 2014 Jul; 22(14):16956-64. PubMed ID: 25090511
[TBL] [Abstract][Full Text] [Related]
2. Doppler angle estimation using AR modeling.
Yeh CK; Li PC
IEEE Trans Ultrason Ferroelectr Freq Control; 2002 Jun; 49(6):683-92. PubMed ID: 12075962
[TBL] [Abstract][Full Text] [Related]
3. Comparative study of methods to calibrate the stiffness of a single-beam gradient-force optical tweezers over various laser trapping powers.
Sarshar M; Wong WT; Anvari B
J Biomed Opt; 2014; 19(11):115001. PubMed ID: 25375348
[TBL] [Abstract][Full Text] [Related]
4. Finding trap stiffness of optical tweezers using digital filters.
Almendarez-Rangel P; Morales-Cruzado B; Sarmiento-Gómez E; Pérez-Gutiérrez FG
Appl Opt; 2018 Feb; 57(4):652-658. PubMed ID: 29400734
[TBL] [Abstract][Full Text] [Related]
5. Calibrating optical tweezers with Bayesian inference.
Richly MU; Türkcan S; Le Gall A; Fiszman N; Masson JB; Westbrook N; Perronet K; Alexandrou A
Opt Express; 2013 Dec; 21(25):31578-90. PubMed ID: 24514731
[TBL] [Abstract][Full Text] [Related]
6. Improved gene prediction by principal component analysis based autoregressive Yule-Walker method.
Roy M; Barman S
Gene; 2016 Jan; 575(2 Pt 2):488-497. PubMed ID: 26385320
[TBL] [Abstract][Full Text] [Related]
7. Propane spectral resolution enhancement by the maximum entropy method.
Bonavito NL; Yeh KC; Stewart KP; Inguva R; Hurley EJ
Appl Opt; 1990 May; 29(13):1919-23. PubMed ID: 20563110
[TBL] [Abstract][Full Text] [Related]
8. Application of autoregressive spectral analysis to cepstral estimation of mean scatterer spacing.
Wear KA; Wagner RF; Insana MF; Hall TJ
IEEE Trans Ultrason Ferroelectr Freq Control; 1993; 40(1):50-8. PubMed ID: 18263156
[TBL] [Abstract][Full Text] [Related]
9. A Hurst exponent estimator based on autoregressive power spectrum estimation with order selection.
Chang YC; Lai LC; Chen LH; Chang CM; Chueh CC
Biomed Mater Eng; 2014; 24(1):1041-51. PubMed ID: 24211995
[TBL] [Abstract][Full Text] [Related]
10. Application of autoregressive moving average parametric modeling in magnetic resonance image reconstruction.
Smith MR; Nichols ST; Henkelman RM; Wood ML
IEEE Trans Med Imaging; 1986; 5(3):132-9. PubMed ID: 18243999
[TBL] [Abstract][Full Text] [Related]
11. Novel, fourier filtering method that reuses interference-patterned spectra to extend the calibration set for thickness determination.
Jeszenszky E; Kocsányi L; Barócsi A; Richter P
Appl Spectrosc; 2006 Feb; 60(2):162-7. PubMed ID: 16542567
[TBL] [Abstract][Full Text] [Related]
12. [Comparison of two methods to solve AR model parameters of line shape optimized maximum entropy spectral estimation].
Gao XF; Xu ZH
Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Nov; 28(11):2717-20. PubMed ID: 19271526
[TBL] [Abstract][Full Text] [Related]
13. A comparison of fast Fourier transform (FFT) and autoregressive (AR) spectral estimation techniques for the analysis of tremor data.
Spyers-Ashby JM; Bain PG; Roberts SJ
J Neurosci Methods; 1998 Aug; 83(1):35-43. PubMed ID: 9765049
[TBL] [Abstract][Full Text] [Related]
14. [High Precision Spectral Calibration Method of Fourier Interferometric Spectrometer].
Lin J; Shao J; Song CY; Li YW; Lei YF
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Dec; 35(12):3534-7. PubMed ID: 26964245
[TBL] [Abstract][Full Text] [Related]
15. Parameter Estimation in Spectral Resolution Enhancement Based on Forward-Backward Linear Prediction Total Least Square Method.
Qin Y; Han X; Li X; Tong J; Gao M
Appl Spectrosc; 2023 Sep; 77(9):1025-1032. PubMed ID: 37448330
[TBL] [Abstract][Full Text] [Related]
16. Comparison of fast Fourier transform and autoregressive spectral analysis for the study of heart rate variability in diabetic patients.
Chemla D; Young J; Badilini F; Maison-Blanche P; Affres H; Lecarpentier Y; Chanson P
Int J Cardiol; 2005 Oct; 104(3):307-13. PubMed ID: 16186061
[TBL] [Abstract][Full Text] [Related]
17. An adaptive system identification approach to optical trap calibration.
Wulff KD; Cole DG; Clark RL
Opt Express; 2008 Mar; 16(7):4420-5. PubMed ID: 18542538
[TBL] [Abstract][Full Text] [Related]
18. [Study on a method of selecting calibration samples in NIR spectral analysis].
Qin C; Chen WW; He XK; Zhang LD; Ma X
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Oct; 29(10):2661-4. PubMed ID: 20038032
[TBL] [Abstract][Full Text] [Related]
19. The effect of the number of observations used for Fourier transform infrared model calibration for bovine milk fat composition on the estimated genetic parameters of the predicted data.
Rutten MJ; Bovenhuis H; van Arendonk JA
J Dairy Sci; 2010 Oct; 93(10):4872-82. PubMed ID: 20855022
[TBL] [Abstract][Full Text] [Related]
20. Power spectrum analysis with least-squares fitting: amplitude bias and its elimination, with application to optical tweezers and atomic force microscope cantilevers.
Nørrelykke SF; Flyvbjerg H
Rev Sci Instrum; 2010 Jul; 81(7):075103. PubMed ID: 20687755
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
