Search Results - time estimation ((_ algorithm) OR (((based algorithm) OR (max algorithm))))
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1
Kernel and multi-class classifiers for multi-floor wlan localisation
Published 2016“…For fingerprint database optimisation, novel access point (AP) selection algorithms which are based on variant AP selection are investigated to improve computational accuracy compared to existing AP selection algorithms such as Max-Mean and InfoGain. …”
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Thesis -
2
Max-average: an extended max-min scheduling algorithm for Grid computing environtment
Published 2016“…This paper presents a new proposed grid based scheduling algorithm called Max-Average, inspired from Max-Min algorithm. …”
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Article -
3
Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia
Published 2015“…In this study, several algorithms are proposed to guarantee high efficiency of resource allocations among a variety of smart grid applications (flat priority based and specific priority based scheduling algorithms), such as distribution automation, voice, video surveillance and advanced metering infrastructure. …”
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4
Improved location and positioning in WiMAX networks with virtual MIMO base stations
Published 2014“…In addition, NLOS effects cause large errors in time of arrival (TOA) readings, thus affecting MS estimation accuracy. …”
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5
Dynamic transmit antenna shuffling scheme for hybrid multiple-input multiple-output in layered architecture
Published 2010“…Finally, the performance of V-BLAST/STBC transceiver scheme with proposed LC-QR algorithm is compared with other MIMO systems, such as V-BLAST and orthogonal space-time block codes. …”
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6
Hybrid TOA-Based MIMO and DOA-Based Beamforming for Location and Positioning in WiMAX Networks
Published 2012“…It has been shown that time of arrival (TOA)-based location can be used as a baseline location estimation technique, with additional DOA measurements being used to further improve accuracy.…”
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7
RSS-based indoor localization system with single base station
Published 2021“…The proposed algorithm measures Received Signal Strength (RSS) and maps it to the location in the room by estimating signal strength of a direct line of sight (LOS) signal and signal of the first order reflection from the wall. …”
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8
WIMAX TESTBED
Published 2008“…The testbed will use the Double Sliding Window for timing offset synchronization and the Schmid! & Cox algorithm for Fractional Frequency Offset estimation. …”
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Final Year Project -
9
Real time self-calibration algorithm of pressure sensor for robotic hand glove system
Published 2019“…This study investigates the use of a novel Proposed Self-Calibration Algorithm (PSCA) of multi pressure sensors in real time on robotic hand glove system. …”
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10
Maximum 2-satisfiability in radial basis function neural network
Published 2020“…Hence, we restrict the analysis to MAX2SAT clauses. We utilize Dev C++ as the platform of training and testing our proposed algorithm. …”
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11
Impact of multiplay transmission in mobile WIMAX using overlay scanning: article / Akmarya Syukhairilnisah Mohd Akhir
Published 2014“…OSMA mainly focus on when to perform a scan to estimate future needs. Simulation results are expected to show that WiMAX coverage by using real world data to detect movement and show that there are strategies that reduce the time required for scanning operations significantly.…”
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12
Impact of multiplay transmission in mobile WIMAX using overlay scanning / Akmarya Syukhairilnisah Mohd Akhir
Published 2014“…All simulations are run using MATLAB software to develop a new Overlay Scanning Mechanism(OSMA) algorithm. OSMA mainly focus on when to perform a scan to estimate future needs. …”
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13
Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…There are several block-matching algorithm based on block-based motion estimation techniques have been developed. …”
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Book Chapter -
14
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Applications and improvements to the HKA algorithm suggest that optimization algorithm based on estimation principle has a huge potential in solving a wide variety of optimization problems. …”
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15
Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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16
Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…This thesis describes the development of an efficient algorithm for solving nonlinear stochastic optimal control problems in discrete-time based on the principle of model-reality differences. …”
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17
LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.
Published 2020“…In this thesis, we propose Least Absolute Shrinkage and Selection Operator (LASSO) type estimators to perform simultaneous parameter estimation and model selection for five specific univariate and multivariate time series models, and develop several algorithms to compute these estimators. …”
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UMK Etheses -
18
Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system
Published 2006“…Firstly it has investigated the performance of MIMO-STBC system and surveyed the effect of imperfect channel estimation on performance of MIMO-OFDM system. Secondly, it has focused on training based channel estimation algorithm for MIMO-OFDM system. …”
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19
A study of frame timing synchronization for WiMAX applications
Published 2007“…In this paper, we present a study of frame timing synchronization for WiMAX applications. The two synchronization algorithms analyzed are Schmidl and Cox technique and double sliding window packet detection. …”
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Conference or Workshop Item -
20
An improved Multipath Estimating Delay-Lock-Loop method based on Teager-Kaiser operator
Published 2018“…One of the key multipath mitigation algorithms is Multipath Estimating DelayLock-Loop (MEDLL), which suffers from large amount of computational complexity, poor real-time performance and error accumulation. …”
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