Nari Tanabe

Learn More
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 proposes the practical OFDM channel estimation method with only Kalman filter theory. The method aims to achieve robust OFDM channel estimation from the canonical state space models with (i) a state equation composed of the channel gain and (ii) an observation equation composed of the pilot signal, the channel gain, and the additive noise. 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 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)
We present a show-through cancellation method using the Kalman filter with colored driving source in duplex scanning. The remarkable feature of the proposed method is reduced show-through effect without sacrificing quality of the original image using the canonical state space model with (i) a state equation composed of the front-side original image, 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)