Digital Filter Architecture With Calculations in the Residue Number System by Winograd Method F (2 × 2, 2 × 2)

Valueva, Maria; Lyakhov, Pavel; Valuev, Georgii; Nagornov, Nikolay

doi:10.1109/access.2021.3121520

Cited by 7 publications

(6 citation statements)

References 19 publications

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“…Paper [59] describes a high-performance architecture for neural network data processing using WMbased 2D and 3D convolutions. Work [60] presents a 2D digital filtering architecture based on WM to speed up calculations. The authors of [61] optimized the hardware implementation of convolutional computations in neural networks using WM modification and taking into account the network sparsity.…”

Section: Convolution Optimization Using the Winograd Methodsmentioning

confidence: 99%

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Modern Trends in Improving the Technical Characteristics of Devices and Systems for Digital Image Processing

Nagornov,

Lyakhov,

Bergerman

et al. 2024

IEEE Access

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The technology development greatly increases the amount of digital visual information. Existing devices cannot efficiently process such huge amounts of data. The technical characteristics of digital image processing (DIP) devices and systems are being actively improved to resolve this contradiction in science and technology. The state-of-the-art methodology includes a huge number of very diverse approaches at the mathematical, software, and hardware implementation levels. We have analyzed all modern trends to improve the technical characteristics of DIP devices and systems. The main distinguishing feature of this review is that we are not limited to considering various aspects of neural network image processing, to which the vast majority of both review and research papers on the designated topic are devoted. Review papers on the subject under consideration are analyzed. Various mathematical and arithmetic-logical methods for improving the characteristics of image processing devices are described in detail. Original and significant architectural and structural solutions are analyzed. Promising neural network models of visual data processing are characterized. Hardware platforms for the design and operation of DIP systems that are efficient in terms of resource costs are considered. The most significant improvements achieved through the hardware implementation of models and methods on field-programmable gate arrays and application-specific integrated circuits are noted.INDEX TERMS High-performance computing, low-area design, low-power device, energy-efficient architecture, neural network, hardware accelerator, FPGA, ASIC.

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Section: Convolution Optimization Using the Winograd Methodsmentioning

confidence: 99%

“…The authors of [33] described an area-efficient hardware implementation of CNN based on RNS computations. Paper [60] presents a highthroughput digital image processing filter architecture based on RNS computations.…”

Section: Computations In the Residue Number Systemmentioning

confidence: 99%

Modern Trends in Improving the Technical Characteristics of Devices and Systems for Digital Image Processing

Nagornov,

Lyakhov,

Bergerman

et al. 2024

IEEE Access

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“…This indicates that the buzzer is "playing" a different note. But there is a noteworthy design flaw here, that is, when each note signal is played, it will always start from a high level [10]. This also means that transitions between notes are not very natural.…”

Section: Figurementioning

confidence: 99%

Design of electronic clock and stopwatch based on FPGA and VHDL language

Kang

2023

J. Phys.: Conf. Ser.

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This paper designs a simple system that can include electronic clock and stopwatch based on FPGA(Field Programmable Gate Array) and VHDL(Very-High-Speed Integrated Circuit Hardware Description Language). The first chapter briefly introduces the research background. The second chapter introduces the theoretical basis of digital circuits and the hardware and software platform used in this paper. In the third chapter, the design of each sub-module of the system and the overall design of the system are carried out. This chapter is the core chapter of this article, which describes the functions of the module and explains the input and output ports. In this chapter, a core point of digital circuit design is reflected: combining modules that realize simple functions into modules that can realize complex functions. And integrate sub-modules that realize similar functions into a top-level module. The fourth chapter is the logic synthesis of the circuit. The fourth chapter shows the simulation of the core module function and the simulation of the system output. The conclusion section summarizes the interesting parts of the design of this paper.

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“…На базе данных исследований разработаны различные архитектуры [11] и аппаратные ускорители [12 -14] для высокопроизводительной реализации алгоритмов нейросетевой обработки изображений на основе метода Винограда. В работе [15] Дальнейшая часть статьи организована следующим образом. В параграфе 1 представлены разработанные алгоритмы метода Винограда для обработки изображений.…”

Section: рис 2 схема цифровой фильтрации методом виноградаunclassified

Development of digital image processing algorithms based on the Winograd method in general form and analysis of their computational complexity

Lyakhov,

Nagornov,

Semyonova

et al. 2023

Computer Optics

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The fast increase of the amount of quantitative and qualitative characteristics of digital visual data calls for the improvement of the performance of modern image processing devices. This article proposes new algorithms for 2D digital image processing based on the Winograd method in a general form. An analysis of the obtained results showed that the use of the Winograd method reduces the computational complexity of image processing by up to 84% compared to the traditional direct digital filtering method depending on the filter parameters and image fragments, while not affecting the quality of image processing. The resulting Winograd method transformation matrices and the algorithms developed can be used in image processing systems to improve the performance of the modern microelectronic devices that carry out image denoising, compression, and pattern recognition. Research directions that show promise for further research include hardware implementation on a field-programmable gate array and application-specific integrated circuit, development of algorithms for digital image processing based on the Winograd method in a general form for a 1D wavelet filter bank and for stride convolution used in convolutional neural networks.

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Digital Filter Architecture With Calculations in the Residue Number System by Winograd Method F (2 × 2, 2 × 2)

Cited by 7 publications

References 19 publications

Modern Trends in Improving the Technical Characteristics of Devices and Systems for Digital Image Processing

Modern Trends in Improving the Technical Characteristics of Devices and Systems for Digital Image Processing

Design of electronic clock and stopwatch based on FPGA and VHDL language

Development of digital image processing algorithms based on the Winograd method in general form and analysis of their computational complexity

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