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Catching high-speed targets in the flight is a complex and typical highly dynamic task. In this paper, we propose Catch Planner, a planning-with-decision scheme for catching. For sequential decision making, we propose a policy search method…

Robotics · Computer Science 2023-06-27 Huan Yu , Pengqin Wang , Jin Wang , Jialin Ji , Zhi Zheng , Jie Tu , Guodong Lu , Jun Meng , Meixin Zhu , Shaojie Shen , Fei Gao

It is known that the bit errors of polar codes with successive cancellation (SC) decoding are coupled. However, existing concatenation schemes of polar codes with other error correction codes rarely take this coupling effect into…

Information Theory · Computer Science 2018-12-31 Ya Meng , Liping Li , Chuan Zhang

We present an algorithm that efficiently performs blind decoding of MIMO signals. That is, given no channel state information (CSI) at either the transmitter or receiver, our algorithm takes a block of samples and returns an estimate of the…

Signal Processing · Electrical Eng. & Systems 2019-05-10 Thomas Dean , Jonathan Perlstein , Mary Wootters , Andrea Goldsmith

In modern wireless networks, interference is no longer negligible since each cell becomes smaller to support high throughput. The reduced size of each cell forces to install many cells, and consequently causes to increase inter-cell…

Information Theory · Computer Science 2012-09-19 Hyukjoon Kwon , Jungwon Lee , Inyup Kang

The non-uniform photoelectric response of infrared imaging systems results in fixed-pattern stripe noise being superimposed on infrared images, which severely reduces image quality. As the applications of degraded infrared images are…

Image and Video Processing · Electrical Eng. & Systems 2022-09-30 Zeshan Fayyaz , Daniel Platnick , Hannan Fayyaz , Nariman Farsad

In current computer architectures, data movement (from die to network) is by far the most energy consuming part of an algorithm (10pJ/word on-die to 10,000pJ/word on the network). To increase memory locality at the hardware level and reduce…

Computational Physics · Physics 2018-01-17 H. Vincenti , R. Lehe , R. Sasanka , J-L. Vay

Return caching is a recent strategy that enables efficient minibatch training with multistep estimators (e.g. the {\lambda}-return) for deep reinforcement learning. By precomputing return estimates in sequential batches and then storing the…

Machine Learning · Computer Science 2021-12-08 Brett Daley , Christopher Amato

We present a behavioral compact model of 3D NAND flash memory for integrated circuits and system-level applications. This model is easy to implement, computationally efficient, fast, accurate and effectively accounts for the different…

Emerging Technologies · Computer Science 2019-05-24 Shubham Sahay , Dmitri Strukov

The reference frame memory accesses in inter prediction result in high DRAM bandwidth requirement and power consumption. This problem is more intensive by the adoption of intra block copy (IBC), a new coding tool in the screen content…

Image and Video Processing · Electrical Eng. & Systems 2021-04-06 Jiyuan Hu , Jun Wang , Guangyu Zhong , Jian Cao , Ren Mao , Fan Liang

This paper considers base station cooperation (BSC) strategies for the uplink of a multi-user multi-cell high frequency reuse scenario where distributed iterative detection (DID) schemes with soft/hard interference cancellation algorithms…

Information Theory · Computer Science 2014-01-03 Peng Li , Rodrigo C. de Lamare

Large-scale dense mapping is vital in robotics, digital twins, and virtual reality. Recently, implicit neural mapping has shown remarkable reconstruction quality. However, incremental large-scale mapping with implicit neural representations…

Robotics · Computer Science 2024-04-10 Jianheng Liu , Haoyao Chen

Semi-Lagrangian schemes with various splitting methods, and with different reconstruction/interpolation strategies have been applied to kinetic simulations. For example, the order of spatial accuracy of the algorithms proposed in {[Qiu and…

Numerical Analysis · Mathematics 2015-06-17 Andrew Christlieb , Wei Guo , Maureen Morton , Jing-Mei Qiu

We propose a new decentralized coded caching scheme for a two-phase caching network, where the data placed in user caches in the prefetching phase are random portions of a maximal distance separable (MDS) coded version of the original…

Information Theory · Computer Science 2018-06-27 Yi-Peng Wei , Sennur Ulukus

The centralized coded caching scheme is a technique proposed by Maddah-Ali and Niesen as a solution to reduce the network burden in peak times in a wireless system. Later Yan et al. reformulated the problem as designing a corresponding…

Information Theory · Computer Science 2016-08-16 Chong Shangguan , Yiwei Zhang , Gennian Ge

This paper presents a memory assessment of the next-generation Versatile Video Coding (VVC). The memory analyses are performed adopting as a baseline the state-of-the-art High-Efficiency Video Coding (HEVC). The goal is to offer insights…

Multimedia · Computer Science 2020-06-02 Arthur Cerveira , Luciano Agostini , Bruno Zatt , Felipe Sampaio

The base station-mobile device communication traffic has dramatically increased recently due to mobile data, which in turn heavily overloaded the underlying infrastructure. To decrease Base Station (BS) interaction, intra-cell communication…

Information Theory · Computer Science 2021-10-04 Elif Haytaoglu , Erdi Kaya , Suayb S. Arslan

This paper addresses the problem of reducing the delivery time of data messages to cellular users using instantly decodable network coding (IDNC) with physical-layer rate awareness. While most of the existing literature on IDNC does not…

Information Theory · Computer Science 2015-07-29 Ahmed Douik , Sameh Sorour , Tareq Y. Al-Naffouri , Mohamed-Slim Alouini

In the present paper, a modification of the Index-less Indexed Flash Codes (ILIFC) for flash memory storage system is presented. Although the ILIFC proposed by Mahdavifar et al. has excellent worst case performance, the ILIFC can be further…

Information Theory · Computer Science 2011-02-18 Riki Suzuki , Tadashi Wadayama

The in-memory computing paradigm with emerging memory devices has been recently shown to be a promising way to accelerate deep learning. Resistive processing unit (RPU) has been proposed to enable the vector-vector outer product in a…

Machine Learning · Computer Science 2020-04-24 Varun Bhatt , Shalini Shrivastava , Tanmay Chavan , Udayan Ganguly

Network coding-based link failure recovery techniques provide near-hitless recovery and offer high capacity efficiency. Diversity coding is the first technique to incorporate coding in this field and is easy to implement over small…

Networking and Internet Architecture · Computer Science 2013-08-12 Serhat Nazim Avci , Ender Ayanoglu