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Multiview canonical correlation analysis (MCCA) is an effective tool for analyzing the relationships among group- aligned multidimensional samples, which has been applied to the fields of pattern recognition and computer vision. In MCCA, its first-stage canonical variables are solved by a multivariate eigenvalue problem that can be computed by Horst method. However, how to use the algorithm for effectively...
Large scale optimization has become a well-recognised field in many science and engineering applications and a variety of metaheuristic algorithms adopting cooperative coevolution (CC) framework with problem decomposition have been applied to solve them. In this paper, a novel decomposition strategy termed as random selection is proposed. In random selection strategy, only a small part of decision...
To solve the problem that both the estimation range and estimation accuracy cannot be satisfied at the limited pilot overhead for data-aided carrier synchronization in burst signals, a new joint time-frequency carrier frequency offset estimation algorithm is proposed. The basic idea of the algorithm is combining the advantages of wide estimation range of frequency-domain estimation algorithms and...
In short burst communication system, a joint rotational periodogram averaging (RPA) and demodulation soft information carrier estimation algorithm is proposed in this paper. Firstly, the coarse carrier estimation is carried out with periodogram averaging method after that the pilot sequence is rotated with different frequency offsets. Then, further fine carrier estimation is done by stepwise searching...
This paper introduces a variant of particle swarm optimization algorithm called the drift particle swarm optimization (DPSO), which is inspired by the free electron model in an external electric field at finite temperature. As the compression-expansion coefficient in DPSO is an important parameter which can greatly influence the performance of the algorithm, three types of control strategies are proposed...
PSO is a parallel stochastic optimization algorithm with advantages of less parameters and high efficiency. This paper describes the programming problem in the method of two linear tables with discrete and continuous quantity, then uses discrete PSO algorithm to discrete optimization and continuous PSO to optimize continuous quantity in the solving process respectively, based on these proposes the...
GAPSO hybrid programming algorithm, which is a concise, effective and stable algorithm to solve the hierarchical problem based on GP algorithm. In terms of the specific characteristics of discrete magnitude and continuous magnitude, as well as the superiority of PSO in continuous quantity optimization, in this paper we propose an improved algorithm, which optimizes continuous magnitude by PSO while...
A key frame extraction algorithm based on sub-shot segmentation and entropy computing is proposed. Firstly the reconstructed matrix of each frame in shots is computed through sub-space projection. Secondly sub-shot segmentation is processed according to the difference of singular value between frame and its reconstructed matrix, as well as difference of histogram feature between frame and mean value...
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