Stratosphere-Troposphere Radar at Cochin is designed to measure height variation of three dimensional wind components using backscattered echo power from Bragg scattering. During rainy periods, the present signal proc...
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ISBN:
(纸本)9781728196879
Stratosphere-Troposphere Radar at Cochin is designed to measure height variation of three dimensional wind components using backscattered echo power from Bragg scattering. During rainy periods, the present signal processing techniques adopted is incapable of distinguishing the clear air echoes and rain echoes. This paper compares the performance of two adaptive algorithms and proposes the better one that alleviates the problem of distinguishing echoes in heavy rain conditions. This work is being attempted for the first time in ST Radar framework. Least Mean Square (LMS) and Normalized least mean square algorithms (NLMS) are applied on the spectral data and results are compared with raw data. It is found that NLMS algorithm performs better in distinguishing clear air turbulent echoes and rain echoes especially during heavy rain conditions.
Long-lived renaming allows processes to repeatedly get distinct names from a small name space and release these names. This paper presents two long-lived renaming algorithms in which the name a process gets is bounded...
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ISBN:
(纸本)3540446249
Long-lived renaming allows processes to repeatedly get distinct names from a small name space and release these names. This paper presents two long-lived renaming algorithms in which the name a process gets is bounded above by the number of processes currently occupying a name or performing one of these operations. The first is asynchronous, uses LL/SC objects, and has step complexity that is linear in the number of processes, c, currently getting or releasing a name. The second is synchronous, uses registers and counters, and has step complexity that is polylogarithmic in c. Both tolerate any number of process crashes.
The paper deals with extraction of fetal phonocardiogram (fPCG) from the abdominal signal mixture by using adaptive filters based on Least Mean Squares (LMS) algorithms. Optimal setting of the filter parameters is a v...
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The paper deals with extraction of fetal phonocardiogram (fPCG) from the abdominal signal mixture by using adaptive filters based on Least Mean Squares (LMS) algorithms. Optimal setting of the filter parameters is a vital condition to ensure efficiency of adaptive filters. In this paper, we suggest ideal parameters setting for this purpose. The filtration quality was assessed by means of objective parameters, namely Signal to Noise Ratio (SNR) and Positive Predictive Value (PPV). The results showed that if optimized, LMS-based adaptive algorithms are efficient in suppressing maternal component in the composed abdominal signal. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
In this paper we define two bi-adaptive mesh filtering algorithms for efficient features preserving restoration of noisy models acquired from 3D scanners. The new filters are based on 2D image processing adaptive algo...
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ISBN:
(纸本)9780769534930
In this paper we define two bi-adaptive mesh filtering algorithms for efficient features preserving restoration of noisy models acquired from 3D scanners. The new filters are based on 2D image processing adaptive algorithms extended to 3D mesh processing. We combine two adaptive algorithms to design more efficient bi-adaptive algorithms. The first filter is applied on the mesh triangles normal vector orientation and the second filter is applied on the vertices normal vector orientation. Both filters are applied on adaptively selected local neighborhood based on a threshold angle between normal vectors. Then the algorithm to update the vertices position is also adaptive according to a local variance evaluation compared to a noise variance threshold. We compare our two bi-adaptive algorithms results to other filtering algorithms according to reliable error metrics and show the new filters outperform previous features preserving and adaptive mesh denoising methods.
We specify the general form of proportionate-type NLMS adaptive algorithms and show that for sufficiently small adaptation stepsize parameter, the algorithms can be exponentially stable, globally convergent and robust...
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ISBN:
(纸本)9781424404681
We specify the general form of proportionate-type NLMS adaptive algorithms and show that for sufficiently small adaptation stepsize parameter, the algorithms can be exponentially stable, globally convergent and robust to unmodeled dynamics and measurement noise. Also, we show that for small adaptation stepsize parameter and stationary inputs, behavior of proportionate-type NLMS algorithms can be modeled by proportionate-type steepest descent algorithms. This motivates designing of proportionate-type NLMS adaptive algorithms by looking at the adjoint proportionate-type steepest descent algorithms.
The analysis of stochastic adaptive algorithms has been dogged by a boundedness problem from the beginning. While it has been overcome in specific cases it continues to be the achilles heel of general proof methods. H...
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ISBN:
(纸本)9781424438723
The analysis of stochastic adaptive algorithms has been dogged by a boundedness problem from the beginning. While it has been overcome in specific cases it continues to be the achilles heel of general proof methods. Here we provide a new and simple projection method which overcomes these problems. We demonstrate this by finite time averaging analysis for both single time-scale and mixed time-scale, fixed gain, nonlinear algorithms.
In this work, a parallel adaptive algorithm for the computation of a multidimensional integral on heterogeneous GPU and multicore based systems is described. Two different strategies have been combined together in the...
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ISBN:
(纸本)9783642552243
In this work, a parallel adaptive algorithm for the computation of a multidimensional integral on heterogeneous GPU and multicore based systems is described. Two different strategies have been combined together in the algorithm: a first procedure is responsible for the load balancing among the threads on the multicore CPU and a second one is responsible for an efficient execution on the GPU of the computational kernel. The performance is analyzed and experimental results on a system with a quad-core CPUs and two GPUs have been achieved.
作者：
Abramovich, YICSSIP
Cooperat Res Ctr Sensor Signal & Informat Proc Mawson Lakes SA 5095 Australia
The probability densities for the loss factor caused by finite sample support in sample matrix inversion (SMI) and loaded sample matrix inversion (LSMI) adaptive algorithms with auxiliary linear constraints are introd...
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ISBN:
(纸本)0780358007
The probability densities for the loss factor caused by finite sample support in sample matrix inversion (SMI) and loaded sample matrix inversion (LSMI) adaptive algorithms with auxiliary linear constraints are introduced. Supervised and unsupervised training conditions along with matched and mismatched steering vector conditions are considered.
This study aims to optimize adaptive algorithms for cross-country vehicle configuration comparison by using deep learning techniques, especially multi-column Deep Convolutional network (MDCNN) vehicle recognition mode...
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Popular algorithms proposed in the literature for doing Barrier and Allreduce in Clusters, such as pair wise exchange, dissemination and gather broadcast do not give an optimal performance when there is skew among the...
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ISBN:
(纸本)0780386949
Popular algorithms proposed in the literature for doing Barrier and Allreduce in Clusters, such as pair wise exchange, dissemination and gather broadcast do not give an optimal performance when there is skew among the nodes in the cluster In pair-wise exchange and dissemination, all the nodes must arrive for the completion of each step. The gather-broadcast algorithm assumes a fixed tree topology. In this paper, we propose to use hardware multicast of InfiniBand in the design of an adaptive algorithm that per forms well in the presence of skew. In this approach, the topology of the tree is not fixed but adapts depending on the skew. The last arriving node becomes the root of the tree if the skew is sufficiently large. We have carried out in-depth evaluation of our scheme and use synchronization delay as the performance metric for barrier and all reduce in the presence of skew Our performance evaluation shows that our design scales very well with system size. Our designs can reduce the synchronization delay by a factor of 2.28 for Barrier and by a factor of 2.18 in the case of Allreduce. We have examined different skew scenarios and showed that the adaptive design performs either better or comparably to the existing schemes.
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