MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511122297 A) filed by K. R. Mangalam University, Gurugram, Haryana, on Dec. 5, 2025, for 'method for adaptive signal conditioning in noise-intensive environments.'
Inventor(s) include Dr. Rakhi Dua; Dr. Digvijay Singh; Dr Pratibha Sharma; and Jyoti Kataria.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention provides a method for adaptive signal conditioning in noise-intensive environments, enabling real-time enhancement of signal fidelity despite dynamically fluctuating interference. The method continuously analyzes incoming raw signals alongside ambient noise characteristics, generating an evolving noise profile that guides the automatic recalibration of conditioning parameters such as filtering, gain control, smoothing, and thresholding. Through a feedback-based adaptive engine and predictive modeling layer, the method anticipates noise patterns, mitigates potential distortions before they occur, and maintains optimal conditioning under shifting environmental conditions. The invention operates with low computational overhead, supports heterogeneous sensor architectures, and stabilizes downstream analytics by delivering high-quality, consistent signal outputs. The adaptive workflow improves robustness, responsiveness, and accuracy of electronic systems deployed in complex, noise-intensive operational environments."
Disclaimer: Curated by HT Syndication.
