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Signal Integrity Preservation and Restoration under Extreme Data Loss in Resource-Constrained Systems: A Bitwise Dual-Modular Filtering Approach

Year: 2025

Type: article

Abstract: This technical note presents a high-efficiency signal processing algorithm using Bitwise Dual-Modular Filtering for resource-constrained systems (IIoT, Edge, Deep Space). The method achieves O(1) complexity and >90% computational savings compared to FFT. Validation results demonstrate: 0.00% False Positive rate on NASA IMS data with 24h early warning. Signal restoration under 98% data loss ("Black Hole" scenario). 77.44% correlation in analog signal integrity tests.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17761934

Author: UYGUN, Ender

Language: English

Topic: Digital Filter Design and Implementation

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7107940458

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