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Ma, Zhiqiang ; Nakayama, Kenji ; Yamamoto, G.
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Ma, Zhiqiang ; Ikeda, Tetsuya ; Nakayama, Kenji
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Nakayama, Kenji ; Ma, Zhiqiang ; Yamamoto, G.
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A new pole-zero pairing and ordering strategy which can provide the minimum total capacitance in cascaded biquad switched-capacitor (SC) filters is proposed. Design examples for several kinds of SC filters are demonstrated. The
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proposed conditions can limit pairing and ordering assignments, by which the total capacitance is concentrated within 5% over the minimum value.
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Ma, Zhiqiang ; Nakayama, Kenji ; Sugiyama, Akihiko
概要:
金沢大学大学院自然科学研究科情報システム<br />An automatic tap assignment method in subband adaptive filter is proposed in this letter. The
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number of taps of the adaptive filter in each band is controlled by the mean-squared error. The numbers of taps increase in the bands which have large errors, while they decrease in the bands having small errors, until residual errors in all the bands become the same. In this way, the number of taps in a band is roughly proportional to the length of the impulse response of the unknown system in this band. The convergence rate and the residual error are improved, in comparison with existing uniform tap assignment. Effectiveness of the proposed method has been confirmed through computer simulation.
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Wang, Hong ; Ma, Zhiqiang ; Nakayama, Kenji
概要:
In this paper we investigate the evolutionary heuristics used as approximation algorithm to the subset sum problem. We p
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ropose a graded penalty function in a fitness function of genetic algorithms to penalize an infeasible string in solving the subset sum problem. An exponential term of generation variable, tθ, is added into the penalty function for increasing penalty generation by generation. The experiments show that the proposed penalty function is more efficient than other existing penalty functions. It is suggested that the penalty pressure is increased step by step.
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Wang, Youhua ; Nakayama, Kenji ; Ma, Zhiqiang
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金沢大学理工研究域 電子情報学系<br />This paper presents a new structure for noise and echo cancelers based on a combined fast adaptive
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algorithm. The main purpose of the new structure is to detect both the double-talk and the unknown path change. This goal is accomplished by using two adaptive filters. A main adaptive filter Fn, adjusted only in the non-double-talk period by the normalized LMS algorithm, is used for providing the canceler output. An auxiliary adaptive filter Ff, adjusted by the fast RLS algorithm, is used for detecting the double-talk and obtaining a near optimum tap-weight vector for Fn in the initialization period and whenever the unknown path has a sudden or fast change. The proposed structure is examined through computer simulation on a noise cancellation problem. Good cancellation performance and stable operation are obtained when signal is a speech corrupted by a white noise, a colored noise and another speech signal. Simulation results also show that the proposed structure is capable of distinguishing the near-end signal from the noise path change and quickly tracking this change.
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Yapi, Atse ; Ma, Zhiqiang ; Nakayama, Kenji
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Wang, Hong ; Ma, Zhiqiang ; Nakayama, Kenji
概要:
金沢大学理工研究域 電子情報学系<br />In this paper we investigate the evolutionary heuristics used as approximation algorithm to the su
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bset sum problem. We propose a graded penalty function in a fitness function of genetic algorithms to penalize an infeasible string in solving the subset sum problem. An exponential term of generation variable, tθ, is added into the penalty function for increasing penalty generation by generation. The experiments show that the proposed penalty function is more efficient than other existing penalty functions. It is suggested that the penalty pressure is increased step by step.
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Nakayama, Kenji ; Ma, Zhiqiang
概要:
金沢大学理工研究域 電子情報学系
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Huq, Asadul ; Ma, Zhiqiang ; Nakayama, Kenji
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