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 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)
We propose an affine projection type multiuser detection for the DS-CDMA (direct sequence code division multiple access) system. This proposed algorithm estimates the desired information symbols using the conventional method based on affine projection algorithm [5], and then modifies the constraints of the conventional method in order to achieve the good(More)
We propose a noise suppression algorithm using Kalman filter with colored driving source. The algorithm aims to achieve robust noise suppression with reduced computational complexity by modifying the canonical state space models in [4]. The remarkable features of the proposed algorithm are that it can be realized by 3 multiplications and that it has the(More)