FILTERING STRATEGIES FOR SMARTPHONE EMITTED DIGITAL SIGNALS

Acharya, D., Rani, A., Agarwal, S., & Singh, V. (2016). Application of adaptive Savitzky–Golay filter for EEG signal processing. Perspectives in science, 8, 677-679.
  Google Scholar

Ahn, H. S., & Ko, K. H. (2009). Simple pedestrian localization algorithms based on distributed wireless sensor networks. IEEE Transactions on Industrial Electronics, 56(10), 4296-4302.
  Google Scholar

Awal, M. A., Mostafa, S. S., & Ahmad, M. (2011). Performance analysis of Savitzky-Golay smoothing filter using ECG signal. International Journal of Computer and Information Technology, 1(02), 24.
  Google Scholar

Azami, H., Mohammadi, K., & Bozorgtabar, B. (2012). An improved signal segmentation using moving average and Savitzky-Golay filter.
  Google Scholar

Bentler, R., & Chiou, L. K. (2006). Digital noise reduction: An overview. Trends in amplification, 10(2), 67-82.
  Google Scholar

Bloecher, H. L., Dickmann, J., & Andres, M. (2009, September). Automotive active safety & comfort functions using radar. In 2009 IEEE International Conference on Ultra-Wideband (pp. 490-494). IEEE.
  Google Scholar

Chen, Z., Sun, Z., & Wang, W. (2011). Design and implementation of Kalman filter. In 2011 IET International Conference on Communication Technology and Application (p. 901-904).
  Google Scholar

Deep, A., Mittal, M., & Mittal, V. (2018, December). Application of Kalman filter in GPS position estimation. In 2018 IEEE 8th Power India International Conference (PIICON) (pp. 1-5). IEEE.
  Google Scholar

Dinakar, J. R., & Vagdevi, S. (2017, December). A study on storage mechanism for heterogeneous sensor data on big data paradigm. In 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (Iceeccot) (pp. 342-345). IEEE.
  Google Scholar

Ellis, C. A., & Parbery, S. A. (2005). Is smarter better? A comparison of adaptive, and simple moving average trading strategies. Research in International Business and Finance, 19(3), 399-411.
  Google Scholar

Farhad, A., Kwon, G. R., & Pyun, J. Y. (2023, January). Mobility Adaptive Data Rate Based on Kalman Filter for LoRa-Empowered IoT Applications. In 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) (pp. 321-324). IEEE.
  Google Scholar

Gujarathi, T., & Bhole, K. (2019, July). Gait analysis using imu sensor. In 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE.
  Google Scholar

Hansun, S., & Kristanda, M. B. (2017, November). Performance analysis of conventional moving average methods in forex forecasting. In 2017 International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS) (pp. 11-17). IEEE.
  Google Scholar

Hasan, K., Meraj, S. T., Othman, M. M., Lipu, M. H., Hannan, M. A., & Muttaqi, K. M. (2022). Savitzky–Golay Filter-Based PLL: Modeling and Performance Validation. IEEE Transactions on Instrumentation and Measurement, 71, 1-6.
  Google Scholar

Hidayat, A. A., Arief, Z., & Happyanto, D. C. (2015, September). Mobile application with simple moving average filtering for monitoring finger muscles therapy of post-stroke people. In 2015 International Electronics Symposium (IES) (pp. 1-6). IEEE.
  Google Scholar

Johnston, F. R., Boyland, J. E., Meadows, M., & Shale, E. (1999). Some properties of a simple moving average when applied to forecasting a time series. Journal of the Operational Research Society, 50(12), 1267-1271.
  Google Scholar

Krishnan, S. R., & Seelamantula, C. S. (2012). On the selection of optimum Savitzky-Golay filters. IEEE transactions on signal processing, 61(2), 380-391.
  Google Scholar

Kwon, J., & Park, D. (2020, February). Implementation of computation-efficient sensor network for Kalman filter-based intelligent position-aware application. In 2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (pp. 565-568). IEEE.
  Google Scholar

Li, Q., Li, R., Ji, K., & Dai, W. (2015, November). Kalman filter and its application. In 2015 8th International Conference on Intelligent Networks and Intelligent Systems (ICINIS) (pp. 74-77). IEEE.
  Google Scholar

Liu, Y., Dang, B., Li, Y., Lin, H., & Ma, H. (2016). Applications of savitzky-golay filter for seismic random noise reduction. Acta Geophysica, 64, 101-124.
  Google Scholar

Meinhold, R. J., & Singpurwalla, N. D. (1983). Understanding the Kalman filter. The American Statistician, 37(2), 123-127.
  Google Scholar

Olivares, A., Olivares, G., Gorriz, J. M., & Ramirez, J. (2009, December). High-efficiency low-cost accelerometer-aided gyroscope calibration. In 2009 International Conference on Test and Measurement (Vol. 1, pp. 354-360). IEEE.
  Google Scholar

Poulose, A., Kim, J., & Han, D. S. (2019, January). Indoor localization with smartphones: Magnetometer calibration. In 2019 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-3). IEEE.
  Google Scholar

Promrit, P., Chokchaitam, S., & Ikura, M. (2018, November). In-vehicle MEMS IMU calibration using accelerometer. In 2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA) (pp. 1-3). IEEE.
  Google Scholar

Purnama, S. I., Afandi, M. A., & Purba, E. V. (2022, June). Global Positioning System Data Processing Improvement for Blind Tracker Device Based Using Moving Average Filter. In Proceedings of the 2nd International Conference on Electronics, Biomedical Engineering, and Health Informatics: ICEBEHI 2021, 3–4 November, Surabaya, Indonesia (pp. 177-188). Singapore: Springer Nature Singapore.
  Google Scholar

Quan, Q., & Cai, K. Y. (2012). Time-domain analysis of the Savitzky–Golay filters. Digital Signal Processing, 22(2), 238-245.
  Google Scholar

Schafer, R. W. (2011, January). On the frequency-domain properties of Savitzky-Golay filters. In 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE) (pp. 54-59). IEEE.
  Google Scholar

Schmid, M., Rath, D., & Diebold, U. (2022). Why and How Savitzky–Golay Filters Should Be Replaced. ACS Measurement Science Au, 2(2), 185-196.
  Google Scholar

Schulze, H. G., Foist, R. B., Ivanov, A., & Turner, R. F. (2008). Fully automated high-performance signal-to-noise ratio enhancement based on an iterative three-point zero-order Savitzky–Golay filter. Applied spectroscopy, 62(10), 1160-1166.
  Google Scholar

Sung, F. Y., Fang, S. H., & Chien, Y. R. (2014, May). An experimental study of MEMS-based magnetometers on Android mobile phones. In 2014 IEEE International Conference on Consumer Electronics-Taiwan (pp. 227-228). IEEE.
  Google Scholar

Tan, L., & Jiang, J. (2018). Digital signal processing: fundamentals and applications. Academic Press.
  Google Scholar

Thinh, D. T., Quan, N. B. H., & Maneetien, N. (2018, November). Implementation of Moving Average Filter on STM32F4 for Vibration Sensor Application. In 2018 4th International Conference on Green Technology and Sustainable Development (GTSD) (pp. 627-631). IEEE.
  Google Scholar

Truzman, S., Revach, G., & Klein, I. (2021, October). On the influence of home appliances on the smartphone’s inertial sensors. In 2021 IEEE Sensors (pp. 1-4). IEEE.
  Google Scholar

Vaseghi, S. V. (2008). Advanced digital signal processing and noise reduction. John Wiley & Sons.
  Google Scholar

Welch, G. F. (2020). Kalman filter. Computer Vision: A Reference Guide, 1-3.
  Google Scholar

Xie, Q., Wang, Q., Cao, N., Gao, S., Liang, G., Zhang, T., ... & Li, N. (2017, October). A Survey of Wireless Sensor Technique Applications for Medical Care. In 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) (pp. 412-415). IEEE.
  Google Scholar

Zhang, P., Gu, J., Milios, E. E., & Huynh, P. (2005, July). Navigation with IMU/GPS/digital compass with unscented Kalman filter. In IEEE International Conference Mechatronics and Automation, 2005 (Vol. 3, pp. 1497-1502). IEEE.
  Google Scholar

Zhang, X., & Yu, W. (2022, April). Research on the Application of Kalman Filter Algorithm in Aircraft Trajectory Analysis. In 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (pp. 196-199). IEEE.
  Google Scholar