SIGNAL NOISE REDUCTION AND FILTERING

The paper deals with noise reduction in signal. Normally measured signal very frequently includes noise and data processing includes the activities for its reduction. The best choice is to reduce the source of noise, but often it is not possible to reduce noise source. Filtering is another activity, which helps us to reduce noise in measured signal. Data processing can be executed only with filtered signal.

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Noise Source Identification and Noise Reduction of a Double Crank Four Ring-Plate-Type Cycloid Reducer

ICCTP 2009 ◽

10.1061/41064(358)70 ◽

2009 ◽

Author(s):

B. Yang ◽

Y. Liu ◽

X. Zhang

Keyword(s):

Noise Reduction ◽

Source Identification ◽

Noise Source ◽

Ring Plate ◽

Noise Source Identification ◽

Plate Type

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An adaptive filtering approach for electrocardiogram (ECG) signal noise reduction using neural networks

Neurocomputing ◽

10.1016/j.neucom.2013.02.010 ◽

2013 ◽

Vol 117 ◽

pp. 206-213 ◽

Cited By ~ 119

Author(s):

Suranai Poungponsri ◽

Xiao-Hua Yu

Keyword(s):

Neural Networks ◽

Noise Reduction ◽

Adaptive Filtering ◽

Ecg Signal ◽

Signal Noise ◽

Electrocardiogram Ecg ◽

Filtering Approach

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Noise reduction in magnetotelluric time-series with a new signal-noise separation method and its application to a field experiment in the Saxonian Granulite Massif

Geophysical Journal International ◽

10.1046/j.1365-246x.2001.00473.x ◽

2001 ◽

Vol 146 (3) ◽

pp. 659-669 ◽

Cited By ~ 32

Author(s):

G. Oettinger ◽

V. Haak ◽

J. C. Larsen

Keyword(s):

Time Series ◽

Field Experiment ◽

Noise Reduction ◽

Separation Method ◽

Signal Noise

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Trust based Evaluation System using Signal Noise Detection for MANET and Noise Reduction by Comparative Analysis between Alpha Beta Filter and Kalman Filter

International Journal of Computer Applications ◽

10.5120/ijca2016908083 ◽

2016 ◽

Vol 135 (3) ◽

pp. 25-30

Author(s):

Jayanta Das ◽

Abhijit Das

Keyword(s):

Kalman Filter ◽

Comparative Analysis ◽

Noise Reduction ◽

Evaluation System ◽

Noise Detection ◽

Signal Noise ◽

Alpha Beta

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Improved Mathematical Morphology Difference Filter for Signal Noise Reduction and Feature Extraction

10.1109/icisce50968.2020.00154 ◽

2020 ◽

Author(s):

Lili Huang

Keyword(s):

Feature Extraction ◽

Noise Reduction ◽

Mathematical Morphology ◽

Signal Noise ◽

Difference Filter

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Life Signal Noise Reduction on Wavelet Theory

Communications in Computer and Information Science - Communications and Information Processing ◽

10.1007/978-3-642-31965-5_65 ◽

2012 ◽

pp. 560-567

Author(s):

Zhai Xiao-jun ◽

Jiang Chuan

Keyword(s):

Noise Reduction ◽

Wavelet Theory ◽

Signal Noise

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Study on Pulse Wave Signal Noise Reduction and Feature Point Identification

Journal of Convergence Information Technology ◽

10.4156/jcit.vol8.issue9.117 ◽

2013 ◽

Vol 8 (9) ◽

pp. 953-960 ◽

Cited By ~ 2

Author(s):

ZHAO Zhiqiang ◽

ZHENG Guowei ◽

PANG Yu ◽

SHENG wei ◽

LIAO cheng ◽

...

Keyword(s):

Noise Reduction ◽

Pulse Wave ◽

Feature Point ◽

Signal Noise ◽

Wave Signal

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Multi-channel mixed-signal noise source with applications to stochastic equalization

2012 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.2012.6271808 ◽

2012 ◽

Author(s):

Jinzhou Cao ◽

Raviv Raich ◽

Gabor C. Temes ◽

Gert Cauwenberghs

Keyword(s):

Noise Source ◽

Mixed Signal ◽

Signal Noise

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Research on electrocardiogram signal noise reduction based on wavelet multi-resolution analysis

2010 International Conference on Wavelet Analysis and Pattern Recognition ◽

10.1109/icwapr.2010.5576381 ◽

2010 ◽

Cited By ~ 1

Author(s):

Wei-Wei Zhang ◽

Min Li ◽

Ji-Yin Zhao

Keyword(s):

Noise Reduction ◽

Signal Noise ◽

Multi Resolution Analysis ◽

Resolution Analysis ◽

Electrocardiogram Signal

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An Application of Minimum Statistical Noise Estimation in the High Rate of Fire Artillery Muzzle Velocity Measurement

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.347-350.332 ◽

2013 ◽

Vol 347-350 ◽

pp. 332-336

Author(s):

Feng Ju ◽

Lin Shi ◽

Hong Wei Zhang ◽

Zhuang Zhi Han

Keyword(s):

Noise Reduction ◽

Velocity Measurement ◽

Noise Estimation ◽

High Rate ◽

Measured Signal ◽

Echo Signal ◽

Muzzle Velocity ◽

Wave Radar ◽

The Impact ◽

Statistical Noise

The infrared starter is usually used to measure the artillery’s muzzle velocity, but due to the continued firelight near the muzzle produced by the continuous occurrence of the high rate of fire artillery projectile , so that the misjudgment and the Missing are easily produced by the infrared sensor . Continuous wave radar can effectively overcome the impact of the fire, but the detection accuracy of the leaving time is greatly affected echo because of the flame noise. Therefore the noise reduction of echo signal is an important step about the detection of the leaving time. For this problem, a noise reduction algorithm based on the minimum statistical noise estimation is proposed in this paper by the analysis of the echo signal. The noise of continuous muzzle flame is effectively reduced by the algorithm. It is verified correct and feasible by the processing of the measured signal. It lays the foundation for the measure of the artillery’s muzzle velocity and the engineering realization of muzzle velocity measurement.

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