کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7126342 | 1461540 | 2014 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Study on multi-frequency weak signal detection method based on stochastic resonance tuning by multi-scale noise
ترجمه فارسی عنوان
بررسی روش تشخیص سیگنال ضعیف چند فرکانس بر اساس تنظیم تشدید تصادفی با نویز چند منظوره
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کلمات کلیدی
تشخیص سیگنال ضعیف، رزونانس تصادفی، تبدیل موجک متعامد، چند فرکانس، سر و صدای چندگانه،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
چکیده انگلیسی
In practical engineering applications, useful information is often submerged in strong noise and the feature information is difficult to be extracted. Aimed at the detection problem of multi-frequency signal under colored noise background, a novel weak signal detection method based on stochastic resonance (SR) tuning by multi-scale noise is proposed. Firstly, noisy signal is processed by orthogonal wavelet transform to decompose the signal into multi-scale ingredients. According to the orthogonal wavelet transform coefficients characteristics of 1/f distribution, multi-scale noise is constructed so as to make the frequency-band containing the driving frequency be enhanced through SR system. Thus multi-frequency weak signal is detected. The method is effective to detect multi-frequency weak signal under colored noise background. Experiment signal analysis results show that the proposed method is simple for multi-frequency weak signal detection, and has good prospects for engineering applications.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Measurement - Volume 47, January 2014, Pages 540-546
Journal: Measurement - Volume 47, January 2014, Pages 540-546
نویسندگان
Peiming Shi, Xuejuan Ding, Dongying Han,