Search Results - (( sequence estimation method algorithm ) OR ( data selection method algorithm ))
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1
On iterative low-complexity algorithm for optimal antenna selection and joint transmit power allocation under impact pilot contamination in downlink 5g massive MIMO systems
Published 2020“…The proposed Low–complexity iterative algorithm for antenna selection and transmission power helped to choose an accurate number of active RF chains to reduce circuit power consumption, and minimize the reuse of pilot sequences to improve channel estimation. …”
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Thesis -
2
Performance Analysis of Hexagon-Diamond Search Algorithm for Motion Estimation using MATLAB
Published 2010“…To achieve a high compression ratio in coding video data, a method known as Motion Estimation (ME) is often applied to reduce the temporal redundancy between successive frames of a video sequence. …”
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3
A new LoRa based positioning algorithm utilizing sequence based deep learning technique
Published 2023“…Comparing with the traditional trilateration method, the proposed algorithm gives higher positioning accuracy in which the estimated positions are near to the actual position. …”
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4
Performance analysis of hexagon-diamond search algorithm for motion estimation
Published 2010“…To achieve a high compression ratio in coding video data, a method known as Motion Estimation (ME) is often applied to reduce the temporal redundancy between successive frames of a video sequence. …”
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Conference or Workshop Item -
5
An analysis of the performance of fast block matching motion estimation algorithms
Published 2009“…To achieve a high compression ratio in coding video data, a method known as Motion Estimation (ME) is often applied to reduce the temporal redundancy between successive frames of a video sequence. …”
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6
Performance analysis of block matching algorithms in motion estimation
Published 2010“…To achieve a high compression ratio in coding video data, a method known as Motion Estimation (ME) is often applied to reduce the temporal redundancy between successive frames of a video sequence. …”
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Conference or Workshop Item -
7
Penalized LAD-SCAD estimator based on robust wrapped correlation screening method for high dimensional models
Published 2021“…To overcome these problems, the LAD-SCAD based on sure independence screening (SIS) technique is put forward. The SIS method uses the rank correlation screening (RCS) algorithm in the pre-screening step and the traditional Pathwise coordinate descent algorithm for computing the sequence of the regularization parameters in the post screening step for onward model selection. …”
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8
Enhanced PAPR reduction and channel estimation techniques in multi-carrier wireless communication system
Published 2016“…Besides, the proposed channel estimator was tested under fast fading channel in a multi-carrier communication system with and without interpolation methods. …”
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Comparative study of 3D reconstruction methods from 2D sequential images in sports
Published 2020“…Six recent methods were selected based on they focused on recovery fully automated system for estimating 3D human pose for 2D joint location. …”
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11
Adaptive complex neuro-fuzzy inference system for non linear modeling and time series prediction
Published 2013“…This structure is developed to deal with nonlinear system modeling as well as time-series forecasting with multiple inputs. The development sequence of such method can be divided into two parts: Developing network structure to employ complex fuzzy logic and proposing learning algorithm to train the system. …”
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12
Dynamic transmit antenna shuffling scheme for hybrid multiple-input multiple-output in layered architecture
Published 2010“…The MLSF-OFDM system is modeled over Monte-Carlo time-variant channel model with different maximum Doppler frequency. Special training sequences are used in the least square (LS) channel estimation method to obtain a desirable crest-factor, which is defined as the ratio of peak amplitude of waveform to the root mean square (RMS) value of the waveform, of the transmitted training signal and eliminate the influence of inter-symbol interference (ISI) on the channel estimation performance. …”
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13
Statistical modelling of time series of counts for a new class of mixture distributions / Khoo Wooi Chen
Published 2016“…The iv score functions and information matrix have been derived to measure the asymptotic standard errors and to analyze the variance-covariance relationship among the parameters. Parameter estimation with the maximum likelihood estimation via the Expectation-Maximization algorithm is discussed and compared with the conditional least squares method. …”
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14
Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Thus, this chapter offers contributions in certain areas such as reducing the mechanism of computational complexity in estimating the motion from the video sequences. In particular, the FUHS16, UHDS16 and UHDS8 algorithms were developed to estimate the motion vectors field in the video sequences. …”
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Book Chapter -
15
Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. Technically, this method estimate the motion area before updates the background by taking a weighted average of non-motion area of the current background altogether with non-motion area of the current frame of the video sequence. …”
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16
Detection and classification of moving objects for an automated surveillance system
Published 2006“…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. Technically, this method estimate the motion area before updates the background by taking a weighted average of non-motion area of the current background altogether with non-motion area of the current frame of the video sequence. …”
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17
Kalman filter based impedance parameter estimation for transmission line and distribution line
Published 2019“…In these cases, for transmission lines that are not fully transposed, the three sequence networks will be mutually coupled. The positive sequence measurement is use to estimate the positive sequence parameters which will generate inaccurate parameter estimates. …”
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18
Detection and classification of moving objects for an automated surveillance system
Published 2006“…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. Technically, this method estimate the motion area before updates the background by taking a weighted average of non-motion area of the current background altogether with non-motion area of the current frame of the video sequence. …”
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19
Performance Analysis of Motion Estimation Algorithms on Digital Video Images
Published 2011“…CDS compares favorably with the other algorithms for low motion sequences in terms of speed, quality and computational complexity. …”
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Article -
20
Multilevel optimization for dense motion estimation
Published 2011“…Experimental results on three image sequences using four models of optical flow with different computational efforts show that the FMG/Opt algorithm outperforms significantly both the TN and MR/Opt algorithms in terms of the computational work and the quality of the optical flow estimation.…”
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Monograph