Super resolution using trilateral filter regression interpolation

Chang, Ting-Wei; Lee, Kuan‐Ting; Chiu, Shuhui; Yang, Jar‐Ferr

doi:10.1109/siprocess.2017.8124511

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…The FC main function is to convert one or more data channels from the main band format into a radio signal consisting of modulated carriers belonging to a set of one or more mentioned radio frequencies. This is achieved in two stages: increasing the sampling rate by interpolation, providing spectrum generation and suppressing interpolation images by filtration and shifting the spectrum of the signal to the desired carrier frequencies using a multiplier and a heterodyne [18,19].…”

Section: Investigation Inaccuracy Of Symbol Timing Error Detectormentioning

confidence: 99%

Methodology for Assessing Synchronization Conditions in Telecommunication Devices

Boiko¹,

Pyatin²,

Eromenko³

et al. 2020

Adv. sci. technol. eng. syst. j.

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This paper represents analysis of principles providing maximally reliable delay estimation of signal synchronization devices in telecommunication. Clock synchronization schemes on the base of stochastic models, graph-analytic interpretation, analytical functional description and their parameters selection in case of real complex hindrance are analyzed. Dependences between dispersion of maximally reliable estimation of synchronization devices and signal to noise ratio (SNR) are represented. Analytical expressions and dependences are obtained for deviation of synchronization error with respect to SNR at the output of discriminator. Diagrams of state are formed for assessment of digital synchronization device in case of error state. Calculated error of numerical solution of the equation of a stationary grid method. We obtain the schedule of the distribution of the probability density synchronization errors for different values of the normalized time. The functions performed by the symbolic synchronization circle, features of the construction of the timing error detector (TED) are analyzed. The Gardner, Early-Late, Mueller & Muller TED, their error and the S-curve equation are investigated. The dependence of the relative timing error on the SNR is obtained. The article examines the effects of interpolation and decimation conditions in the forming filters of digital communication systems.

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Section: Investigation Inaccuracy Of Symbol Timing Error Detectormentioning

confidence: 99%

Methodology for Assessing Synchronization Conditions in Telecommunication Devices

Boiko¹,

Pyatin²,

Eromenko³

et al. 2020

Adv. sci. technol. eng. syst. j.

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“…Імпульсний фільтр має наступні властивості: високе загасання в смузі затримування, щоб зменшити міжканальні завади; мінімізована МСІ для отримання низької частоти помилок по бітам. Інтерполяційні фільтри використовуються для збільшення частоти дискретизації [4,5].…”

Section: оцінювання впливу умов інтерполяції і децимації сигналів на unclassified

“…Аналіз останніх досліджень і публікацій. При демодуляції цифрових сигналів бажано, щоб частота дискретизації сигналу була кратна його швидкості маніпуляції (на кожний символ має припадати однакова кількість відліків) [3][4][5][6]. Однак частота дискретизації вхідного сигналу з АЦП, як правило, є фіксованою, а швидкість маніпуляції може змінюватися.…”

Section: оцінювання впливу умов інтерполяції і децимації сигналів на unclassified

“…Для зменшення цих ефектів фронти АЧХ фільтра згладжують, апроксимуючи їх функцією піднесеного косинуса. При реалізації приймального пристрою системи зв'язку використовують узгоджену фільтрацію сигналу з частотною характеристикою фільтра у вигляді комплексно-спряженої функції з формуючим фільтром передавача [5]. Ця загальна частотна характеристика повинна задо-вольняти вимогам Найквиста.…”

Section: оцінювання впливу умов інтерполяції і децимації сигналів на unclassified

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Evaluation of the Influence Interpolation and Decimation Conditions on the Energy Gain in Means Telecommunications With Phase Shift Keying

Boiko¹,

Pyatin²

2019

Scientific notes of Taurida National V.I. Vernadsky University.

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“…Considering the uneven distribution of image features, Duanmu et al [14] and Zhang et al [15], from the perspectives of Sobel operator and rational fractal interpolation, adopted distinct sampling methods for homogeneous regions and texture regions to overcome the blurring of edges. Furthermore, combined with a series of theories such as Discrete Wavelet Transform (DWT) [16], Whittaker filtering [17], partial Least squares method [18], Trilateral filter [19], high boost operator [20], etc., the interpolation method imbibed many aspects of optimization.…”

Section: Introductionmentioning

confidence: 99%

Multi-Scale Feature Mapping Network for Hyperspectral Image Super-Resolution

et al. 2021

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Hyperspectral Image (HSI) can continuously cover tens or even hundreds of spectral segments for each spatial pixel. Limited by the cost and commercialization requirements of remote sensing satellites, HSIs often lose a lot of information due to insufficient image spatial resolution. For the high-dimensional nature of HSIs and the correlation between the spectra, the existing Super-Resolution (SR) methods for HSIs have the problems of excessive parameter amount and insufficient information complementarity between the spectra. This paper proposes a Multi-Scale Feature Mapping Network (MSFMNet) based on the cascaded residual learning to adaptively learn the prior information of HSIs. MSFMNet simplifies each part of the network into a few simple yet effective network modules. To learn the spatial-spectral characteristics among different spectral segments, a multi-scale feature generation and fusion Multi-Scale Feature Mapping Block (MSFMB) based on wavelet transform and spatial attention mechanism is designed in MSFMNet to learn the spectral features between different spectral segments. To effectively improve the multiplexing rate of multi-level spectral features, a Multi-Level Feature Fusion Block (MLFFB) is designed to fuse the multi-level spectral features. In the image reconstruction stage, an optimized sub-pixel convolution module is used for the up-sampling of different spectral segments. Through a large number of verifications on the three general hyperspectral datasets, the superiority of this method compared with the existing hyperspectral SR methods is proved. In subjective and objective experiments, its experimental performance is better than its competitors.

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Super resolution using trilateral filter regression interpolation

Cited by 5 publications

References 17 publications

Methodology for Assessing Synchronization Conditions in Telecommunication Devices

Methodology for Assessing Synchronization Conditions in Telecommunication Devices

Evaluation of the Influence Interpolation and Decimation Conditions on the Energy Gain in Means Telecommunications With Phase Shift Keying

Multi-Scale Feature Mapping Network for Hyperspectral Image Super-Resolution

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