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Blind deconvolution and phase retrieval
1988Theoretical and practical aspects of identifying and deconvolving a convolution in more than one-dimension are presented. In contrast to conventional techniques which require knowledge of the blurring function, this thesis describes techniques for "blind" deconvolution.
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Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution
Mechanical Systems and Signal Processing, 2022Zhijian Wang, Jie Zhou, Yaguo Lei
exaly
Blind Deblurring and Deconvolution
Signal Recovery and Synthesis, 1995Many imaging systems in use today acquire data that are related to a desired object function f(·) through the linear relationship where h(·,·; θ) is the point-spread function for the imaging system, and θ is a collection of system parameters – some or all of which may be unknown – that characterize the system and, hence, its point-spread function.
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Blind Signal Separation and Blind Deconvolution
2001This chapter introduces basic concepts, criteria, and algorithms for Blind signal separation (BSS) and blind deconvolution and explores relationships between the BSS and blind deconvolution tasks. The chapter considers open issues and challenges within these related fields. BSS is sometimes used interchangeably with independent component analysis (ICA),
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A spectral kurtosis based blind deconvolution approach for spur gear fault diagnosis
ISA Transactions, 2023Shahis Hashim, Piyush Shakya
exaly
Improving Neural Blind Deconvolution
2021 IEEE International Conference on Image Processing (ICIP), 2021Jan Kotera, Filip Sroubek, Vaclav Smidl
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