Abstract: A new FPGA architecture of the DVB-S2/S2X LDPC FEC encoder with low number of resources consumption is proposed. The encoder is full rate compatible and supports all code rates from ...
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Abstract: The promotion of the HEVC standard has significantly alleviated the burden of network transmission and video storage. However, its inherent complexity and data dependencies pose a ...
Abstract: Nowadays, the rapid improvement in CMOS technology to reduce power and area and to increase the speed of chip is mainly consideredin research field. In this paper power dissipation and delay ...
Abstract: Considering the impact of operation and maintenance costs and technology, there is generally a lack of sufficient meteorological observation devices within the distributed photovoltaic (PV) ...
This C library reads rotation data and switch presses from rotary encoders. It supports mechanical encoders like KY-040 (HW-040), or EC11. It uses GPIO_IRQ interrupts for automatic event detection - ...
Abstract: Instantaneous angular speed (IAS) signals are widely used in motor control and fault detection. However, incremental optical encoders inevitably suffer from engraving and subdivision errors ...
Official repository for the paper "Exploring the Potential of Encoder-free Architectures in 3D LMMs". The encoder-free 3D LMM directly utilizes a token embedding module to convert point cloud data ...
Abstract: Point-interactive image colorization is intended to colorize a grayscale image by allowing the user to specify colors at specific locations. The colors provided by the user (user hints) are ...
Abstract: Multi-modal data presents a promising opportunity for improving multimedia recommendation models, but it also introduces task-irrelevant noise that can reduce model robustness. In this paper ...
Abstract: Recently, three-dimensional (3D) point-cloud analysis has been extensively utilized in the domain of machine vision, encompassing tasks include shape classification and segmentation. However ...
Abstract: Convolutional neural networks (CNNs) have attracted much attention in change detection (CD) for their superior feature learning ability. However, most of the existing CNN-based CD methods ...