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A Constant Binomial Coefficient Difference Equation Based FIR Predictor System for Signal Processing and Data Mining

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Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023)

Part of the book series: Signals and Communication Technology ((SCT))

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Abstract

Prediction/estimation of future probable outcomes of a time-dependent signal/process has applications in signal processing, automatic control systems, artificial intelligence (AI), machine learning algorithms, and planning and development, etc. In this chapter, a novel simple and new prediction algorithm based on FIR system using constant binomial coefficient difference equation approach has been proposed and its characteristic features have been discussed. The main advantage of this algorithm is that it can be realized using cascade-type FIR filter structure. While estimating the future sample values, the system takes into account most recent observations and gives more weightage to these in comparison to the distant past observations. Hence, these systems inherently possess AI features.

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Author information

Authors and Affiliations

  1. Department of Electronics & Communication Engineering, National Institute of Technology, Srinagar, Jammu & Kashmir, India

    Munaza Ramzan & G. M. Rather

Authors
  1. Munaza Ramzan
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  2. G. M. Rather
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Corresponding author

Correspondence to G. M. Rather .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli, Tamil Nadu, India

    E. S. Gopi

  2. Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli, Tamil Nadu, India

    P Maheswaran

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Ramzan, M., Rather, G.M. (2024). A Constant Binomial Coefficient Difference Equation Based FIR Predictor System for Signal Processing and Data Mining. In: Gopi, E.S., Maheswaran, P. (eds) Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication. MDCWC 2023. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-47942-7_5

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