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

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-29
DOI
https://doi.org/10.5281/zenodo.17761934
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Machine Fault Diagnosis Techniques
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 41%
Machine Fault Diagnosis Techniques
DOIOpen Access PDFOpenAlex
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Signal Integrity Preservation and Restoration under Extreme Data Loss in Resource-Constrained Systems: A Bitwise Dual-Modular Filtering Approach · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS