Jun 19, 2019 · Firstly, we clarify the differences between LPD communication and the well-known physical-layer security. Then, from an information-theoretic point of view, we discuss the optimal signalling strategies for transmitting the message-carrying …

Dec 17, 2024 · Abstract: License plate detection (LPD) is essential for traffic management, vehicle tracking, and law enforcement but faces challenges like variable lighting and diverse font types, impacting accuracy. Traditionally reliant on image processing and machine learning, the field is now shifting towards deep learning for its robust performance in ...

Dec 19, 2024 · 经典的自动车牌识别系统通常包括三个主要模块，以确保有效的识别性能：车牌检测（LPD）、字符分割（CS）和光学字符识别（OCR）。 在早期阶段，LPD的主要挑战包括在不同的车牌布局和语言、不同的尺寸和纵横比下的遮挡，以及在不同的光照和天气条件下嘈杂或不干净的输入图像，如下图所示。 这个阶段的理想结果是一组精确检测到的车牌。 这一阶段对系统的最终性能至关重要。 非板状物体的错误分类可能会导致后续阶段的错误。 近年来，CNN一直 …

Oct 20, 2023 · LPD 通常指的是 "Local Point Defects "，也被称为 "点状缺陷" 或 "局部点缺陷"。这是指半导体材料或芯片中的微小缺陷，通常是以点状或局部的形式存在的。 这是指半导体材料或芯片中的微小缺陷，通常是以点状或局部的形式存在的。

Dec 11, 2018 · In this paper, we develop a novel deep neural network, named LPD-Net (Large-scale Place Description Network), which can extract discriminative and generalizable global descriptors from the raw 3D point cloud.

Feb 8, 2021 · In this paper, inspired by the Primal-Dual algorithm, we first transform the CS model into a saddle point problem, and then propose a novel Learned Primal-Dual Network, called LPD-Net. The proposed LPD-Net explores the special structure of the $\ell _{1}$ -norm regularization term and converts the original problem into two sub-problems that are ...

In this paper, we develop a novel deep neural network, named LPD-Net (Large-scale Place Description Network), which can extract discriminative and generalizable global descriptors from the raw 3D point cloud.

Nov 16, 2024 · 请问您的e2仿真器是通过lpd连接板子的吗，可以尝试将lpd接口改成jtag重新尝试下吗

Jul 10, 2023 · 本文详细介绍了ddr内存的信号类型，包括ck和ckn差分时钟输入，cke时钟使能，cs芯片选择，ca命令/地址输入，dmi数据掩码反转，dq数据总线，dqs数据节拍信号，以及odt和zq参考校准。

We remind the reader that CC-MLD, CC-LPD, CS-OPT, and CS-LPDstand for “channel coding maximum likelihood decoding,” “channel coding linear programming decoding,” “compressed sensing (sparsity) optimal decoding,” and “co m-pressed sensing linear programming decoding,” respectively. Moreover, all vectors are column vectors.