Ju-man Song

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This paper proposes a non-periodic-partial-update affine projection algorithm with data-selective updating. The proposed algorithm employs two update concepts: non-periodic partial update and data-selective update. The former plays a role in adjusting the length of the update period, and the latter in reducing computational complexity. Thus, the algorithm(More)
This paper introduces a diffusion strategy for the multichannel active noise control. The diffusion strategy is designed to reduce the computational complexity by distributes computations to all nodes of multichannel active noise control system. Thus, the multichannel filtered-x normalized least mean square algorithm, which is the simplest way for real(More)
This paper introduces a robust filtered-x NLMS algorithm with high performance which is designed for active control of impulsive noise system. High performance of the proposed algorithm is realized by obtaining the optimal step size of the filtered-x NLMS algorithm. The optimal step size is developed by analyzing the mean square deviation of filtered-x NLMS(More)
In this paper, we propose a moving object detection algorithm that enables to detect moving objects with collision risk in rear of the vehicle by using image sequences from a vehicle-mounted monocular rear-view fisheye camera. The proposed moving object detection algorithm detects corner points by using Harris corner detector and computes the optical flow(More)
This paper introduces an evolving update interval algorithm for the optimal step-size affine projection algorithm. The optimal step-size affine projection algorithm is one of numerous approaches to get better performance for the affine projection algorithm. It is suggested by analyzing the mean square deviation of fixed step-size affine projection(More)
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