An Annealed Self-Organizing Map for Source Channel Coding
Burger, Matthias, Graepel, Thore, Obermayer, Klaus
–Neural Information Processing Systems
It is especially suited for speech and image data which in many applieations have to be transmitted under low bandwidth/high noise level conditions. Following the idea of (Farvardin, 1990) and (Luttrell, 1989) of jointly optimizing the codebook and the data representation w.r.t. to a given channel noise we apply a deterministic annealing scheme (Rose, 1990; Buhmann, 1997) to the problem and develop a An Annealed Self-Organizing Map for Source Channel Coding 431 soft topographic vector quantization algorithm (STVQ) (cf.
Neural Information Processing Systems
Dec-31-1998
- Technology: