Importance of Filters in Data Processing Pipeline

Sarit Maitra ()
Additional contact information
Sarit Maitra: Alliance University—Central Campus, Chikkahadage Cross Chandapura-Anekal

Chapter 1 in Non-Linearity in Econometric Modeling, Vol. 1, 2025, pp 1-44 from Springer

Abstract: Abstract Linearity refers to a mathematical relationship within a system or model where outputs are directly proportional to inputs and adhere to the principle of superposition. In contrast, non-linearity describes relationships between inputs and outputs that are more complex, involving feedback loops, thresholds, or interactions that cannot be represented by a simple straight line. In nonlinear dynamic systems, noise can interact with the underlying dynamics to produce complex behaviors such as chaos, bifurcations, or stochastic resonance. It can obscure the distinction between genuine nonlinear patterns and randomness, and in some cases, may even induce or amplify nonlinear phenomena.

Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:dymchp:978-3-032-06462-2_1

Ordering information: This item can be ordered from
http://www.springer.com/9783032064622

DOI: 10.1007/978-3-032-06462-2_1

Access Statistics for this chapter

More chapters in Dynamic Modeling and Econometrics in Economics and Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().