পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| FxLMS সক্রিয় শব্দ নিয়ন্ত্রণ (FxLMS Active Noise Control)× | Linear Predictive Coding× | |
|---|---|---|
| ক্ষেত্র | শব্দবিজ্ঞান | শব্দবিজ্ঞান |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর | 1975 | 1975 |
| প্রবর্তক≠ | Bernard Widrow, Samuel Stearns | Freddy Burg, John Makhoul |
| ধরন≠ | Adaptive noise cancellation algorithm | Predictive speech coding and analysis |
| মৌলিক উৎস≠ | Widrow, B., & Stearns, S. D. (1975). Adaptive signal processing for active vibration and noise control. IEEE Transactions on Acoustics, Speech, and Signal Processing, 23(5), 440–453. DOI ↗ | Makhoul, J. (1975). Linear prediction: A tutorial review. Proceedings of the IEEE, 63(4), 561–580. DOI ↗ |
| অপর নাম | FxLMS, filtered-x LMS, active noise cancellation, ANC | LPC, autoregressive model, speech prediction, vocal tract modeling |
| সম্পর্কিত | 5 | 5 |
| সারসংক্ষেপ≠ | The Filtered-x Least Mean Squares (FxLMS) algorithm is an adaptive filter used in active noise control (ANC) systems to reduce unwanted sound by generating anti-noise. Pioneered by Widrow and Stearns in 1975 and refined by Eriksson and colleagues, FxLMS is the most widely deployed algorithm in commercial noise-canceling headphones, hearing aids, automotive cabins, and industrial noise barriers. It works by continuously learning the acoustical path and dynamically adjusting a canceling signal in real time. | Linear Predictive Coding (LPC) is a powerful signal processing technique for modeling and compressing speech by assuming each speech sample can be predicted from a linear combination of previous samples. Pioneered by Burg and Makhoul in the 1970s, LPC is the foundation of speech codecs, speech synthesis, speaker recognition, and speech enhancement. LPC exploits the time-correlated structure of speech to achieve high compression ratios and enable efficient parameter extraction. |
| ScholarGateডেটাসেট ↗ |
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