Title :
Hardware implementation of the neural gas
Author :
Ancona, Fabio ; Rovetta, Stefano ; Zunino, Rodolfo
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Abstract :
The paper presents a hardware implementation of the neural gas (NGAS) algorithm. The NGAS is based on vector quantization and is applied to very low bit-rate video compression. The algorithm exhibits interesting properties that can be exploited in an HW realization. The modular structure provides inherent parallelism and can therefore be regarded as an open architecture. The neuro-board interfaces to a PC through a standard ISA bus. The novelty of the proposed solution lies in providing a PC-based configurable HW support for VQ training joining affordable costs with satisfactory effectiveness. Simplicity and easy control for HW tests and SW development represent the basic advantages of the overall approach
Keywords :
add-on boards; data compression; neural chips; vector quantisation; video coding; PC-based configurable support; VQ; hardware implementation; inherent parallelism; modular structure; neural gas; neuro-board; standard ISA bus; vector quantization; very low bit-rate video compression; Costs; Digital signal processing; Hardware; Image coding; Instruction sets; Parallel processing; Prototypes; Signal processing algorithms; Testing; Vector quantization;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.616161
