[[1] Nazarov, N.G. (2002). Metrology: Basic Concepts and Mathematical Models. Moscow: Vishshaya Shkola.]Search in Google Scholar
[[2] Stepetov, A.G. (2006). Theory, Calculation and Design of Measuring Instruments. Moscow: Standartinform.]Search in Google Scholar
[[3] Pronkin, N.S. (2003). Basics of Metrology for Dynamic Measurements. Moskow: Logos.]Search in Google Scholar
[[4] Granovskij, V.A. (1984). Dynamic Measurements. St. Petersburg: Energoatomizdat.]Search in Google Scholar
[[5] Ventcel, E.S., Ovcharov, L.A. (2007). Random Processes Theory and Its Engineering Application. Moscow: Vishshaya Shkola.]Search in Google Scholar
[[6] Dichev, D., Golemanova, S. (2010). Characteristics of the results upon measuring signals representing random processes. In Metrology and Metrology Assurance : XX National Scientific Symposium, 10-14 September 2010, Sazopol, Bulgaria, 51-57.]Search in Google Scholar
[[7] Sveshnikov, A.A., Rivkin, S.S. (1974). Probability Methods in the Applied Gyroscope Theory. Moscow: Nauka.]Search in Google Scholar
[[8] Danilov, A.T. (2001). A gyroscopic measuring system for parameters of moving objects. Problems of Special Machinebuilding Magazine, 34 (4), 178-181.]Search in Google Scholar
[[9] Dichev, D., Koev, H., Louda, P. (2014). A measuring system with an additional channel for eliminating the dynamic error. Journal of Theoretical and Applied Mechanics, 44 (1), 3-20.10.2478/jtam-2014-0001]Search in Google Scholar
[[10] Zhu, R., Sun, D., Zhou, Z., Wang, D. (2007). A linear fusion algorithm for attitude determination using low cost MEMS-based sensors. Measurement, 40 (3), 322–328.10.1016/j.measurement.2006.05.020]Search in Google Scholar
[[11] Garcia, E., Hausotte, T. (2013). The parallel Bayesian toolbox for high-performance Bayesian filtering in metrology. Measurement Science Review, 13 (6), 315-321.10.2478/msr-2013-0047]Search in Google Scholar
[[12] Venkatesh, K. Arun, Mathivanan, N. (2013). CAN network based longitudinal velocity measurement using accelerometer and GPS receiver for automobiles. Measurement Science Review, 13 (3), 115-121.10.2478/msr-2013-0020]Search in Google Scholar
[[13] Sotirov, B., Tonev, D. (2013). Measurement uncertainty of simple effective diameter using measuring wires. In Materials Science, Hydro- and Aerodynamics and National Security: Third National Conference with International Participation, 24-25 October 2013. Sofia, Bulgaria: Bulgarian Academy of Sciences, 74-80.]Search in Google Scholar
[[14] Ormandzhiev, K., Ivanov, P. (2003). Control optimization of parallel working water turbines fed by means of common pressure pipeline. In Heat Transfer, Fluid Mechanics and Thermodynamics: 2nd International Conference, 23-26 June 2003, Victoria Falls, Zambia, 56-63.]Search in Google Scholar
[[15] Rivkin, S.S. (1974). Kalman Method for Optimal Filtration and Its Application in Navigation Systems. St. Petersburg: Sudostroene.]Search in Google Scholar
[[16] Welch, G., Bishop, G. (2001). An Introduction to the Kalman Filter. University of North Carolina at Chapel Hill, Department of Computer Science.]Search in Google Scholar
[[17] Dichev, D., Koev, H., Bakalova, T., Louda, P. (2014). A gyro-free system for measuring the parameters of moving objects. Measurement Science Review, 14 (5), 263-269.10.2478/msr-2014-0036]Search in Google Scholar
[[18] Dichev, D., Koev, H., Bakalova, T., Louda, P. (2014). A model of the dynamic error as a measurement result of instruments defining the parameters of moving objects. Measurement Science Review, 14 (4), 183-189.10.2478/msr-2014-0025]Search in Google Scholar
[[19] Grant, P.M., Cowan, C.F., Adams, P.F. (1985). Adaptive Filters. Prentice-Hall.]Search in Google Scholar
[[20] Ventcel, E.S., Ovcharov, L.A. (2007). Random Processes Theory and Its Engineering Application. Moscow: Vishshaya Shkola.]Search in Google Scholar
