Nari Tanabe

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This paper proposes a robust image restoration method using two-dimensional block Kalman filter with colored driving source. This method aims to achieve high quality image restoration for blur and noise disturbance from the canonical state space models with (i) a state equation composed of the original image, and (ii) an observation equation composed of the(More)
This paper presents the channel gain estimation algorithm for the MIMO-OFDM system under the high-speed movement environments. This method aims to achieve robust the MIMO-OFDM channel gain estimation using only the Kalman filter from the canonical state space models with: (a) a state equation composed of the channel gain and the colored driving source, and(More)
This paper proposes the accurate MC-CDMA channel estimation method using Kalman filter with the colored driving source. The algorithm aim to achieve good performance from (i) a state equation composed of the channel gain and pilot signal, and (ii) an observation equation composed of the pilot signal, the channel gain, and the additive noise. The distinctive(More)
This paper presents the stereo type noise suppression method for extracting the accompaniment signal from the stereo music signal. The conventional method extracts the accompaniment signal from the stereo music signal using the spectrum ratio. However, this method loses the realism of the stereo music since the conventional method utilizes the difference(More)
This paper presents a fast image restoration method using the 2-D block Kalman filter with colored driving source. The remarkable feature of the proposed method is reduced computational complexity using the high correlation pixels of current region and reference region, while the conventional 2-D block Kalman filter methods performed image restoration(More)