Denoising MEMS accelerometer sensors based on L2-norm total variation algorithm
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[1] Wu-Sheng Lu. Design of stable IIR digital filters with equiripple passbands and peak-constrained least-squares stopbands , 1999 .
[2] Tony F. Chan,et al. Aspects of Total Variation Regularized L[sup 1] Function Approximation , 2005, SIAM J. Appl. Math..
[3] Minli Yao,et al. De-noising MEMS inertial sensors for low-cost vehicular attitude estimation based on singular spectrum analysis and independent component analysis , 2013 .
[4] Ronald W. Schafer,et al. What Is a Savitzky-Golay Filter? [Lecture Notes] , 2011, IEEE Signal Processing Magazine.
[5] Jiankang Wu,et al. Multi-model adaptation for thigh movement estimation using accelerometers , 2011 .
[6] Yin Zhang,et al. An efficient augmented Lagrangian method with applications to total variation minimization , 2013, Computational Optimization and Applications.
[7] Li Zhongshen. The Design of Butterworth Lowpass Filter Based on MATLAB , 2003 .
[8] Hamidreza Memarzadeh-Tehran,et al. A Patient-Centric Sensory System for In-Home Rehabilitation , 2017, IEEE Sensors Journal.
[9] Cezary Kownacki,et al. Optimization approach to adapt Kalman filters for the real-time application of accelerometer and gyroscope signals' filtering , 2011, Digit. Signal Process..
[10] Andrea Manes,et al. Digital filtering of acceleration data acquired during the intervention of a lift safety gears , 2010 .
[11] A. Nikfarjam,et al. A mini wearable wireless sensor for rehabilitation applications , 2015, 2015 3rd RSI International Conference on Robotics and Mechatronics (ICROM).
[12] Jyoti K. Sinha,et al. A typical filter design to improve the measured signals from MEMS accelerometer , 2010 .