Abstract
Digital filtration is widely used today in many application fields, and with the increased use of low-cost embedded processors, it can be applied to vast areas. A drawback of digital filtration algorithms is the introduction of phase angle shifts in the filtered signals, thereby creating undesirable characteristics in many application fields. In this work, low-pass filters of finite impulse response and infinite impulse response types are designed with an innovative buffering scheme to delay a digitally low-passed signal by an angle ranging from 0° to 180° for real-time signals. The application of the filtration and buffering scheme on a cost-effective embedded processor with limited signal processing capabilities opens the horizons for its applicability in many signal processing fields. In assessing its practicality, the generated filtered output signal is correlated with the original signal (a low-passed version), revealing correlation values reaching 0.99 in certain instances. The novelty of the proposed approach enables its application to a broad-spectrum area of digital signal filtration.
Reference19 articles.
1. Agrawal, N., Kumar, A., and Bajaj, V., 2020. A new design approach for nearly linear phase stable IIR filter using fractional derivative. IEEE/CAA Journal of Automatica Sinica, 7(2), pp.527-538.
2. Dallalbashi, Z.E., 2020. MatLab based design and implemetation of digita filter. IJCSNS International Journal of Computer Science and Network Security, 20(1), p.95.
3. Hannah, A.A.S., and Agordzo, G.K., 2020. A design of a low-pass FIR filter using hamming window functions in Matlab. Computer Engineering and Intelligent Systems, 11(2), pp.24-30.
4. Kockanat, S., and Karaboga, N., 2015. The design approaches of two-dimensional digital filters based on metaheuristic optimization algorithms: A review of the literature. Artificial Intelligence Review, 44, pp.265-287
5. .Kohn, A.F., 2006. Autocorrelation and Cross‐Correlation Methods. In: Wiley Encyclopedia of Biomedical Engineering. Wiley, United States.