6. Blind Equalization Algorithm Based on Evolutionary Neural Network

2017 ◽  
pp. 149-179
Keyword(s):  
Neural Network ◽  
Blind Equalization ◽  
Evolutionary Neural Network ◽  
Equalization Algorithm

scholarly journals Neural Network Blind Equalization Algorithm Applied in Medical CT Image Restoration

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Yunshan Sun ◽  
Liyi Zhang ◽  
Jin Zhang ◽  
Lijuan Shi
Keyword(s):  
Neural Network ◽  
Image Restoration ◽  
Blind Equalization ◽  
Ct Image ◽  
Original Image ◽  
Equalization Algorithm ◽  
Convergence Performance ◽  
And Performance ◽  
Blind Image ◽  
Method Analysis

A new algorithm for iterative blind image restoration is presented in this paper. The method extends blind equalization found in the signal case to the image. A neural network blind equalization algorithm is derived and used in conjunction with Zigzag coding to restore the original image. As a result, the effect of PSF can be removed by using the proposed algorithm, which contributes to eliminate intersymbol interference (ISI). In order to obtain the estimation of the original image, what is proposed in this method is to optimize constant modulus blind equalization cost function applied to grayscale CT image by using conjugate gradient method. Analysis of convergence performance of the algorithm verifies the feasibility of this method theoretically; meanwhile, simulation results and performance evaluations of recent image quality metrics are provided to assess the effectiveness of the proposed method.

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