Results 1 to 10 of about 796,535 (249)

Multi-Source Cooperative Data Collection with a Mobile Sink for the Wireless Sensor Network

Sensors, 2017
The multi-source cooperation integrating distributed low-density parity-check codes is investigated to jointly collect data from multiple sensor nodes to the mobile sink in the wireless sensor network.
Changcai Han, Jinsheng Yang
doaj   +1 more source

A Fast Sparse Coding Method for Image Classification

Applied Sciences, 2019
Image classification is an important problem in computer vision. The sparse coding spatial pyramid matching (ScSPM) framework is widely used in this field.
Mujun Zang, Dunwei Wen, Tong Liu, Hailin Zou, Chanjuan Liu   +4 more
doaj   +1 more source

Robust sparse IQP sampling in constant depth [PDF]

Quantum
Between NISQ (noisy intermediate scale quantum) approaches without any proof of robust quantum advantage and fully fault-tolerant quantum computation, we propose a scheme to achieve a provable superpolynomial quantum advantage (under some widely accepted
Louis Paletta, Anthony Leverrier, Alain Sarlette, Mazyar Mirrahimi, Christophe Vuillot   +4 more
doaj   +1 more source

Millimeter-wave Human Security Imaging Based on Frequency-domain Sparsity and Rapid Imaging Sparse Array Architecture

Leida xuebao, 2018
This paper examines the processing of millimeter-wave imaging data based on sparse sampling and sparse array design for the rapid imaging of human security data.
Tian He, Li Daojing, Qi Chunchao
doaj   +1 more source

Sparse Regression Codes Achieve Multi-User Diversity Without Channel State Information

IEEE Open Journal of the Communications Society
We study sparse regression codes (SPARC) for multiple access channels with multiple receive antennas, in non-coherent flat fading channels. We propose a novel practical decoder, referred to as maximum likelihood matching pursuit (MLMP), which greedily ...
V. S. V. Sandeep, Sai Dinesh Kancharana, Arun Pachai Kannu   +2 more
doaj   +1 more source

Kernel heterogeneity improves sparseness of natural images representations

Neuromorphic Computing and Engineering
Both biological and artificial neural networks inherently balance their performance with their operational cost, which characterizes their computational abilities.
Hugo J Ladret, Christian Casanova, Laurent Udo Perrinet   +2 more
doaj   +1 more source

Semantic Reconstruction-Based Text Hashing

IEEE Access
Similar texts can obtain similar hash codes only when the hashing model preserves their semantic alignment. Most existing text hashing methods adopt document reconstruction, which mainly preserves sparse lexical information and may ignore core semantics.
Siyu Tan, Jiaqiang Wan, Yangyang Zhu, Xiangyu Li   +3 more
doaj   +1 more source

Low‐density algebra‐check codes for ultra reliable low latency communications

Electronics Letters
A novel channel code, the low‐density algebra‐check (LDAC) code, is introduced in this letter. LDAC code is constructed by combining sparse matrice with algebraic constraints from two types of subcodes. Detailed explanations for the encoding and decoding
Zuo Tang, Jing Lei, Ke Lai, Ying Huang
doaj   +1 more source

Block Orthogonal Sparse Superposition Codes for Ultra-Reliable Low-Latency Communications

IEEE Transactions on Communications, 2023
H Vincent Poor, Youngjoo Lee, Jeonghun Park   +2 more
exaly  

Sparse and Balanced MDS Codes Over Small Fields

IEEE Transactions on Information Theory, 2022
Tingting Chen, Xiande Zhang
exaly