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IMPROVED METHOD FOR HILBERT INSTANTANEOUS FREQUENCY ESTIMATION 被引量:3
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作者 BO Lin LIU Xiaofeng QIN Shuren 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2007年第6期94-98,共5页
In the mechanical fault detection and diagnosis field, it is more and more important to analyze the instantaneous frequency (IF) character of complex vibration signal. The improved IF estimation method is put forwar... In the mechanical fault detection and diagnosis field, it is more and more important to analyze the instantaneous frequency (IF) character of complex vibration signal. The improved IF estimation method is put forward aiming at the shortage of traditional Hilbert transform. It is based on Hilbert transform in wavelet domain. With the help of relationship between the real part and the imaginary part obtained from the complex coefficient of continuous wavelet transform or the analyti- cal signal reconstructed in wavelet packet decomposition, the instantaneous phase function of the subcomponent is extracted. In order to improve the precise of IF estimated out, some means such as Linear regression, adaptive filtering, resampling are applied into the instantaneous phase obtained, then, the central differencing operator is used to get desired IF. Simulation results with synthetic and gearbox fault signals are included to illustrate the proposed method. 展开更多
关键词 Instantaneous frequency Hilbert transform Wavelet transform Linear regression Adaptive filtering Resampling
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Noise Reduction for Digital Communications—The Masterpiece, a Modified Costas Loop
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作者 János Ladvánszky 《Circuits and Systems》 2020年第6期57-64,共8页
An efficient way of noise reduction has been presented: A modified Costas loop called as Masterpiece. The basic version of the Costas loop has been developed for SSB SC demodulation, but the same circuit can be applie... An efficient way of noise reduction has been presented: A modified Costas loop called as Masterpiece. The basic version of the Costas loop has been developed for SSB SC demodulation, but the same circuit can be applied for QAM (quadrature amplitude modulation) demodulation as well. Noise sensitivity of the basic version has been decreased. One trick is the transformation of the real channel input into complex signal, the other one is the application of our folding algorithm. The result is that the Masterpiece provides a 4QAM symbol error rate (SER) of 6 × 10<sup><span style="white-space:nowrap;">&#8722;</span>4</sup> for input signal to noise ratio (SNR) of <span style="white-space:nowrap;">&#8722;</span>1 dB. In this paper, an improved version of the original Masterpiece is introduced. The complex channel input signal is normalized, and rotational average is applied. The 4QAM result is SER of 3 × 10<sup><span style="white-space:nowrap;">&#8722;</span>4</sup> for SNR of <span style="white-space:nowrap;">&#8722;</span>1 dB. At SNR of 0 dB, the improved version produces 100 times better SER than that the original Costas loop does. In our times, this topic has a special importance because by application of our Masterpiece, all dangerous field strengths from 5G and WiFi, could be decreased by orders of magnitude. The Masterpiece can break the Shannon formula. 展开更多
关键词 Noise Symbol Error Rate QAM Costas Loop Hilbert Filter Folding Algorithm
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