Application of Wiener Filter Making Signals Orthogonal

Reddy, B. Sai Tejeswar; Jayaraman, Valarmathi

doi:10.1109/vitecon.2019.8899689

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…Direct inverse filtering will cause the final result to be dominated by noise and cannot reconstruct the original signal i reliably. In order to solve this problem, a variety of algorithms have been developed, including the Wiener filtering algorithm (Reddy & Jayaraman, 2019;Olivo et al, 2000), least-squares filtering algorithm (Shruthi & Satheeshkumar, 2017), geometric mean-square filtering algorithm (Suman et al, 2014), total variational algorithm (Perrone & Favaro, 2014) and continuous Fourier transform algorithm (Wang et al, 2023). The basic principle of these algorithms is to suppress degraded signals at high frequencies, but there are also some problems with these algorithms.…”

Section: Related Workmentioning

confidence: 99%

A method with ultra-high angular resolution for X-ray diffraction experiments

Zhang,

Zheng,

et al. 2024

J Synchrotron Radiat

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In X-ray diffraction measurements, the angular resolution has a detection limit due to the receiving size of the detector. In many cases this detection limit is too large and must be breached to obtain the desired information. A novel method is proposed here by making the detector simultaneously measuring and moving. Using the deconvolution algorithm to remove the convolution effect, the pixel size limitation is finally broken. The algorithm used is not a common one, and suppresses signals at high frequencies, ensuring the reliability of the peak shape after restoration. The feasibility of this method is verified by successfully measuring the crystal truncation rod signal of SrTiO3 single crystal, and the resolution is nearly ten times higher than that of a single pixel. Moreover, this method greatly reduces the noise and improves the signal-to-noise ratio.

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Section: Related Workmentioning

confidence: 99%

A method with ultra-high angular resolution for X-ray diffraction experiments

Zhang,

Zheng,

et al. 2024

J Synchrotron Radiat

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show abstract

“…While in Wiener filter, is a statistically based filter for filtering out the noise that has damaged a signal and this filter can be used to obtain the desired frequency response. Wiener filter takes a distinct method to filter by filtering from a different angle [24,25]. Thus, it is necessary to understand the spectral features of the original signal and noise to perform filtering operations.…”

Section: Spatial Filtermentioning

confidence: 99%

Review Study of Image De-Noising on Digital Image Processing and Applications

Abdulah

Rohani²,

Ismail³

et al. 2023

ARASET

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This paper reviews several studies of image de-noising on digital image processing and applications. Noisy images contain different noise that exist either due to environment or electronic interferences. Ergo, de-noising is crucial to eliminate the noise that disturb data collecting process. The impact of de-noising on image processing can result for accurate and precise data collected from the image. Additionally, de-noising process required several crucial steps that help to enhance knowledge on digital image and its application. Hence, study and understanding de-noising can improve multiple aspect such as image quality, data sensitivity and specificity, accuracy of the collected data, and increase the percentage of each parameter.

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Application of Wiener Filter Making Signals Orthogonal

Cited by 2 publications

References 4 publications

A method with ultra-high angular resolution for X-ray diffraction experiments

A method with ultra-high angular resolution for X-ray diffraction experiments

Review Study of Image De-Noising on Digital Image Processing and Applications

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