Results 21 to 30 of about 157,436 (316)

A reliable and energy efficient dual prediction data reduction approach for WSNs based on Kalman filter

IET Communications, 2021
Wireless sensor networks (WSNs) are critically resource‐constrained due to wireless sensor nodes' tiny memory, low processing units, power limitations, and narrow communication bandwidth.
Haibin Wang, Zaid Yemeni, Waleed M. Ismael, Ammar Hawbani, Saeed H. Alsamhi   +4 more
doaj   +1 more source

Range‐ambiguity suppression for noise radar in cluttered environment via sparse recovery

Electronics Letters, 2021
Range ambiguity suppression is a significant problem in traditional pulse‐Doppler radar systems, especially when the pulse repetition frequency is set high to avoid Doppler ambiguity. One possible way to deal with such problem is to apply the noise radar
Xingyu Lu, Wenchao Yu, Mengying Xia, Weimin Su, Hong Gu   +4 more
doaj   +1 more source

A critical comparison on attitude estimation: From gaussian approximate filters to coordinate‐free dual optimal control

IET Control Theory & Applications, 2021
This paper conveys attitude and rate estimation without rate sensors by performing a critical comparison, validated by extensive simulations. The two dominant approaches to facilitate attitude estimation are based on stochastic and set‐membership ...
N. P. Koumpis, P. A. Panagiotou, I. Arvanitakis   +2 more
doaj   +1 more source

A three-dimensional microseismic downhole noise suppression based on polarization filtering method in Shearlet transform

Frontiers in Earth Science, 2023
Microseismic noise suppression is widely used in the exploration of unconventional oil and gas resources. The effective microseismic downhole signals have extremely weak energy and are contaminated by strong interference, making data processing and ...
Li Han, Dongyan Wang, Pengjun Yu
doaj   +1 more source

Absolute localisation in confined spaces using deep geometric features

Electronics Letters, 2021
When operating in dark and confined spaces, the capacity of the robots to localise in an absolute reference frame is of utmost importance. This letter presents an absolute localisation system, using deep 3D landmarks, for known confined spaces.
Rune Y. Brogaard, Ole Ravn, Evangelos Boukas   +2 more
doaj   +1 more source

Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method [PDF]

, 2011
We propose a non-hierarchical decentralized algorithm for the asymptotic minimization of possibly time-varying convex functions. In our method, each agent in a network has a private, local (possibly time-varying) cost function, and the objective is to ...
Renato L. G. Cavalcante, Jennings, Nick, Isao Yamada, Cavalcante, Renato L. G., Rogers, A, Alex Rogers, Nicholas R. Jennings, Rogers, Alex, Yamada, I, Jennings, N, Yamada, Isao, Cavalcante, RLG   +11 more
core   +1 more source

An efficient local stereo matching method based on an adaptive exponentially weighted moving average filter in SLIC space

IET Image Processing, 2021
Rapidly obtaining accurate dense disparity maps has been the focus of stereo matching research. At present, approaches that achieve superior disparity maps require a large amount of computation, which is not suitable for practical applications.
Shan Yang, Xinyue Lei, Zhenfeng Liu, Guorong Sui   +3 more
doaj   +1 more source

Interest point detection from multi‐beam light detection and ranging point cloud using unsupervised convolutional neural network

IET Image Processing, 2021
Interest point detection plays an important role in many computer vision applications. This work is motivated by the light detection and ranging odometry task in autonomous driving.
Deyu Yin, Qian Zhang, Jingbin Liu, Xinlian Liang, Yunsheng Wang, Shoubin Chen, Jyri Maanpää, Juha Hyyppä, Ruizhi Chen   +8 more
doaj   +1 more source

Adaptive frequency-domain filtering for neural signal preprocessing

NeuroImage, 2023
Electrical interference from various sources is a common issue for experimental extracellular electrophysiology recordings collected using multi-electrode array neural recording systems.
Esther Bedoyan, Jay W. Reddy, Anna Kalmykov, Tzahi Cohen-Karni, Maysamreza Chamanzar   +4 more
doaj   +1 more source

Signal Processing Methods for Genomic Sequence Analysis [PDF]

, 2007
Signal processing is the art of representing, transforming, analyzing, and manipulating signals. It deals with a wide range of signals, from speech and audio signals to images and video signals, and many others.
Yoon, Byung-Jun
core   +1 more source