Abstract:

In order to solve problems of big volume of the knitted fabric control data, high repeatability of pattern data and non-destructive transmission, a knitting control data compression algorithm was presented. The realization algorithm process was given. LZSS was used to encode the compressed fabric data simultaneously, and then  dynamic Huffman coding was carried out according to the application frequency of output characters. The algorithm could be transplanted to the embedded platform to achieve the decompression of fabric data. The experimental results show that the algorithm can compress the fabric data in the embedded knitting system, and the algorithm is more efficient. Compared with the conventional Lemple-Ziw-Welch encoding (LZW)   algorithm, the compression ratio is improved obviously by more than 5%. It is proved that the algorithm has high compression ratio and low complexity, and can reduce the fabric control data in the embedded knitting control system with limited storage space and memory space. At the same time, the algorithm can be used as a data compression algorithm for textile CAD.

Key words: data compression algorithm, fabric control data, compression ratio, embedded knitting system