Journal of Signal Processing
Online ISSN : 1880-1013
Print ISSN : 1342-6230
ISSN-L : 1342-6230
Current issue
Journal of Signal Processing, Vol.23 (2019) No.5 (Editor-in-Chief: Keikichi Hirose, Editor: Tetsuya Shimamura, Honorary Editor-in-Chief: Takashi Yahagi)
Showing 1-3 articles out of 3 articles from the selected issue
  • Yadanar Khaing, Yosuke Sugiura, Tetsuya Shimamura
    2019 Volume 23 Issue 5 Pages 205-214
    Published: September 15, 2019
    Released: September 15, 2019
    JOURNALS FREE ACCESS

    In this paper, we propose a new combination technique for full-reference image quality assessment (IQA) by utilizing three better-recognized IQA methods. To select the IQA methods, we first pick up Most Apparent Distortion (MAD) as the most appropriate IQA index for image quality databases and then add two other indices, MS-SSIM and FSIM, which have the most dissimilar features from the first index MAD. The parameter values employed in the new IQA score are optimized using the particle swarm optimization algorithm. By experiments, it is validated that the proposed method gives the best performance for various databases and outperforms the other state-of-the-art methods.

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  • Miss. Nargis Parvin, Yosuke Sugiura, Tetsuya Shimamura
    2019 Volume 23 Issue 5 Pages 215-225
    Published: September 15, 2019
    Released: September 15, 2019
    JOURNALS FREE ACCESS

    In this paper, we consider a single-input multiple-output (SIMO) channel-based static wireless sensor network and carry out blind equalization to estimate the transmitted signal blindly. Four cases of common or different channels and a common or different variance of noises are considered. For each case, the solution of blind equalization is derived. For the different-channel cases, we derive a new approach in which the best sensor output signal is found by adaptively implementing the normalized error used in speech processing. We estimate the transmitted signal from the corresponding sensor output by utilizing the generalized Sato equalizer. The mean square error (MSE) and symbol error rate (SER) are investigated on several communication channels. Computer simulations validate the solution for each case and show the effectiveness of the proposed method relative to the conventional methods.

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  • Nobuo Nagai, Takashi Yahagi
    2019 Volume 23 Issue 5 Pages 227-233
    Published: September 15, 2019
    Released: September 15, 2019
    JOURNALS FREE ACCESS

    In quantum theory, a wave function expresses the state of matter waves and is not considered to physically exist in general. Equations that are satisfied by a wave function are called wave equations. In classical physics, wave equations are well known and are derived from the Maxwell equations. However, the Maxwell equations do not define important physical properties, such as the lossless property of circuits. The lossless property is represented by the cascade matrix defined in analog circuit theory. The definition of the lossless property in wave equations became possible owing to the telegrapher's equations introduced by Heaviside. The cascade matrix can be determined from uniform transmission lines that can be obtained from the telegrapher's equations and those extended using the Riccati differential equation.

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