Results 21 to 30 of about 145,710 (264)

Tomlinson Harashima precoding design for non-regenerative MIMO relay networks [PDF]

, 2011
In this paper we consider the design of minimum mean square error (MMSE) transceivers for non-regenerative multiple input multiple output (MIMO) relay systems.
Millar, Andrew Paul, Stewart, Robert, Weiss, Stephan   +2 more
core   +1 more source

Performance Analysis of Conventional Beamforming Algorithm for Angle-of-Arrival Estimation under Measurement Uncertainty

International Journal of Antennas and Propagation, 2020
The performance of the conventional beamforming for angle-of-arrival (AOA) estimation algorithm under measurement uncertainty is analyzed. Gaussian random variables are used for modeling measurement noises.
Eun-Kyung Lee, Joon-Ho Lee
doaj   +1 more source

Pendugaan Komponen Periodik Fungsi Intensitas Berbentuk Fungsi Periodik Kali Tren Linear suatu Proses Poisson Non-homogen [PDF]

, 2013
In this manuscript, estimation of the periodic component of intensity having form periodic function multiplied by the linear trend of a non homogeneous Poisson process is discussed.
ISMAYULIA, W. (W), MANGKU, I. W. (I), SISWANDI, S. (S)   +2 more
core   +2 more sources

Assessing the impacts of climate change on streamflow dynamics: A machine learning perspective

Water Science and Technology, 2023
This study investigates changes in river flow patterns, in the Hunza Basin, Pakistan, attributed to climate change. Given the anticipated rise in extreme weather events, accurate streamflow predictions are increasingly vital.
Mehran Khan, Afed Ullah Khan, Sunaid Khan, Fayaz Ahmad Khan   +3 more
doaj   +1 more source

Performance Analysis of Distributed Incremental LMS Algorithm with Noisy Links

International Journal of Distributed Sensor Networks, 2011
Recently proposed distributed adaptive estimation algorithms for wireless sensor networks (WSNs) do not consider errors due to noisy links, which occur during the transmission of local estimates between sensors.
Azam Khalili, Mohammad Ali Tinati, Amir Rastegarnia   +2 more
doaj   +1 more source

Penyembunyian Data pada File Video Menggunakan Metode LSB dan DCT

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2014
Abstrak Penyembunyian data pada file video dikenal dengan istilah steganografi video. Metode steganografi yang dikenal diantaranya metode Least Significant Bit (LSB) dan Discrete Cosine Transform (DCT).
Mahmuddin Yunus, Agus Harjoko
doaj   +1 more source

An Adaptive Salp-Stochastic-Gradient-Descent-Based Convolutional LSTM With MapReduce Framework for the Prediction of Rainfall.

International Journal of Interactive Multimedia and Artificial Intelligence
Rainfall prediction is considered to be an esteemed research area that impacts the day-to-day life of Indians. The predominant income source of most of the Indian population is agriculture.
S. Oswalt Manoj, Abhishek Kumar, Ashutosh Kumar Dubey, J. P. Ananth   +3 more
doaj   +1 more source

Framework of Forecast Verification of Surface Solar Irradiance From a Numerical Weather Prediction Model Using Classification With a Gaussian Mixture Model

Earth and Space Science, 2020
A clustering and classification method using a Gaussian mixture model (GMM) is used to summarize and simplify meteorological data from a numerical weather prediction (NWP) model.
Takeshi Watanabe, Hideaki Takenaka, Daisuke Nohara   +2 more
doaj   +1 more source

Analysis of power–accuracy trade‐off in digital signal processing applications using low‐power approximate adders

IET Computers & Digital Techniques, 2021
In recent years, approximate circuit design targeting the error‐tolerant applications has gained significance. In this study, the authors propose a metric that ranks a stand‐alone approximate adder in terms of power savings obtained for a given mean ...
Celia Dharmaraj, Vinita Vasudevan, Nitin Chandrachoodan   +2 more
doaj   +1 more source

Sparse Vector Recovery: Bernoulli-Gaussian Message Passing

, 2017
Low-cost message passing (MP) algorithm has been recognized as a promising technique for sparse vector recovery. However, the existing MP algorithms either focus on mean square error (MSE) of the value recovery while ignoring the sparsity requirement, or
Chi, Yuhao, Guan, Yong Liang, Huang, Chongwen, Li, Ying, Liu, Lei, Yuen, Chau   +5 more
core   +1 more source