Signal processing system using a neural network for laser Doppler velocimetry

2003 ◽  
Author(s):  
Y. Fukuoka ◽  
Y. Nakajyo ◽  
E. Okada ◽  
H. Matsuki ◽  
H. Minamitani
Keyword(s):  
Neural Network ◽  
Signal Processing ◽  
Laser Doppler Velocimetry ◽  
Processing System ◽  
Laser Doppler ◽  
Doppler Velocimetry ◽  
Signal Processing System

Laser Doppler Velocimetry Signal Processing Based on Spectral Refinement and Correction

2011 ◽  
Vol 383-390 ◽  
pp. 6319-6323
Author(s):  
Nian Long Song ◽  
Da Zhang ◽  
Qi Li
Keyword(s):  
Signal Processing ◽  
Laser Doppler Velocimetry ◽  
Operation Time ◽  
Laser Doppler ◽  
Doppler Signal ◽  
Doppler Velocimetry ◽  
Basic Principles ◽  
Doppler Signals ◽  
Sinusoidal Signals ◽  
Ratio Correction

In order to improve the accuracy of signal processing in Laser Doppler Velocimetry, a method based on the association of spectral refinement and correction is presented. Zoom-FFT and ratio correction are adopted to realize this method. Basic principles of zoom-FFT and ratio correction are expounded. FFT and the method are adopted to process sinusoidal signals and simulated laser Doppler signals with different frequencies separately in circumstance of MATLAB 7.0. Comparisons between the results of FFT and the method are carried out. The comparisons show that this method has the capability to improve the accuracy of laser Doppler signal processing significantly and the operation time is acceptable for LDV system.

scholarly journals FAST NEURAL NETWORK FOR GENERALIZED TRIGONOMETRIC TRANSFORMATIONS SYNTHESIS

2014 ◽  
pp. 6-10
Author(s):  
Oleh Liskevych ◽  
Mykhaylo Yatsymirskyy
Keyword(s):  
Neural Network ◽  
Signal Processing ◽  
Digital Signal Processing ◽  
Processing System ◽  
Digital Signal ◽  
Signal Processing System ◽  
Digital Signal Processing System ◽  
Hardware Neural Network

The structure of the fast hardware neural network, based on generalized trigonometric transformations algorithm is developed. The network is appointed for optimal by some given criteria transformation selection and synthesis in adaptive digital signal processing system.

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