Joint Source-Channel Estimation Using Accumulated LDPC Syndrome

Coll. of Inf. Eng., Northwest A&F Univ., Yangling, China
IEEE Communications Letters (Impact Factor: 1.46). 12/2010; DOI: 10.1109/LCOMM.2010.091710.101062
Source: IEEE Xplore

ABSTRACT Source correlation estimation is an important issue remained in Slepian-Wolf Coding (SWC), while a counterpart issue in noisy transmission is channel noise estimation. This letter considers the transmission of SWC bitstream over a noisy channel. We show that it is possible to estimate both source correlation and channel noise using an accumulated Low-Density Parity-Check (LDPC) syndrome.

  • Journal of Electronic Imaging 01/2014; 23(1). · 0.85 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: To generate a high resolution image from a low resolution one, interpolation plays a crucial role. However, conventional interpolation methods including edge-based interpolation methods have some drawbacks such as the limited number of edge directions, imprecise edge detection, and inefficient interpolation. To overcome these shortcomings, we propose a new edge-directed interpolation method, which has three aims: various edge directions, reliable edge detection, and outstanding interpolation. Since the number of candidate edge directions in the proposed method is flexible, we can use several edges included in the high resolution image. To accurately determine the edge direction, we use autocorrelation of neighboring pixels for candidate directions based on the duality between a high resolution image and its corresponding low resolution image. For the interpolation step, we utilize a Blackman-Harris windowed-sinc weighted average filter where we use correlation values obtained in the edge detection step as weights. Experimental results show that the proposed method outperforms conventional methods in terms of both the subjective and the objective results.
    Digital Signal Processing 06/2014; · 1.50 Impact Factor