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Filtering Techniques for Chaotic Signal Processing
The vulnerability of chaotic communication systems to noise in transmission channel is a serious obstacle for practical applications. Traditional signal processing techniques provide only limited possibilities for efficient filtering broadband chaotic ...
Denis Butusov +2 more
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Vortex signal model based Kalman filter of vortex signal processing method
Review of Scientific Instruments, 2022To improve the performance of the vortex flowmeter, a vortex signal model based Kalman filter of the vortex signal processing method is proposed. According to the characteristics of the vortex signal, a linear vortex signal model is designed. Combining the fuzzy search and iterative algorithm, the Kalman filter algorithm is improved by analyzing the ...
Jie Chen +3 more
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A Preferable Method on Digital Filter in ECG Signal's Processing Based on FPGA
2010 Third International Symposium on Intelligent Information Technology and Security Informatics, 2010Digital filter is one of the most important components in electrocardiogram (ECG) signal’s processing. This research method combined Fast Fourier Transform (FFT) & Wavelet Threshold De-noising (WTD) to meet the demand that the ECG signal’s sampling and processing must be exact, real-time and steady. Meanwhile, the high performance of Field Programmable
Nianqiang Li, Yongbing Wang, Guoyi Zhao
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Two-wavelength interferometric signal processing by recurrence filtering method
SPIE Proceedings, 1999Two-wavelength interferometry technique provides accurate measurement of geometric values in extended range of measurement definition. We propose the approach to two- wavelength interferometric signal processing based on recurrence data filtering. Interferometer is illuminated by monochromatic light source on two wavelength simultaneously. The position
Igor P. Gurov, A. Kirienko
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An improved method for speech signal processing based on adaptive filter
2014 IEEE International Conference on Communiction Problem-solving, 2014Based on the adaptive filtering mode, we discussed and analyzed how to improve the quality of microphone array speech enhancement and reduce the complexity of the algorithm. This paper described a new variable step least mean square (LMS) algorithm which could reduce the effect of input noise to step factor, improve the performance of the algorithm ...
Yunfei Kan, Hongyang Yu, Yong Hu
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Neural filtering method for stationary signal processes
Artificial Life and Robotics, 1997In this paper a new method of neural filtering using artificial neural network systems is presented for the filtering problems of linear and nonlinear, stationary and nonstationary stochastic signals. The neural filter (denoted neurofilter) developed in this paper has either finite impulse response (FIR) structure or infinite impulse response (IIR ...
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OCT Signal Processing Method Based on Sequential Kalman Filtering
Advanced Materials Research, 2015Optical current transformer (OCT) measured current signal which is mixed with strong random noise. The measured readings can’t accurately reflect the value of the measured current. Since the optical current transformer noise inside the band is basically where the measured current signal overlap,we can not use the traditional method to filter it out ...
Yu Heng Yan, Yan Song Li
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Application of Wavelet Filter Method in Optical Tweezers Signal Processing
Advanced Materials Research, 2013One limitation on the performance of optical tweezers (abbreviated as OT) is the noise inherently present in each setup. Therefore, it is the desire to minimize and possibly eliminate the noise from the OT experiments. In this paper, a filter method based on wavelet analysis is proposed.
Zi Qiang Wang +5 more
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A method for speech signal processing based on band filtering of the logarithmic spectrum
Automation and Remote Control, 2014We propose a method for speech signal preprocessing based on band filtering of the logarithmic amplitude spectrum with a filter with odd impulse characteristic. With such filtering, we can detect local nonuniformities in the spectrum of a speech signal caused by abrupt inclinations of the vocal tract frequency characteristic, which represent useful ...
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