{"title":"采用并行处理架构的VDPCM硬件实现","authors":"K. Thyagarajan","doi":"10.1109/PACRIM.1989.48446","DOIUrl":null,"url":null,"abstract":"A parallel processing architecture is described to implement the VDPCM encoder/decoder hardware for real-time image coding applications. The architecture consists of processing elements in modular form, and each module is designed around AT&T's DSP32 chip. The system is flexible and expandable. The hardware was used to encode images at a rate of 0.5 bit pixel, and results are given. The hardware results are in agreement with the computer simulations.<<ETX>>","PeriodicalId":256287,"journal":{"name":"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Hardware implementation of a VDPCM using parallel processing architecture\",\"authors\":\"K. Thyagarajan\",\"doi\":\"10.1109/PACRIM.1989.48446\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A parallel processing architecture is described to implement the VDPCM encoder/decoder hardware for real-time image coding applications. The architecture consists of processing elements in modular form, and each module is designed around AT&T's DSP32 chip. The system is flexible and expandable. The hardware was used to encode images at a rate of 0.5 bit pixel, and results are given. The hardware results are in agreement with the computer simulations.<<ETX>>\",\"PeriodicalId\":256287,\"journal\":{\"name\":\"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.1989.48446\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1989.48446","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hardware implementation of a VDPCM using parallel processing architecture
A parallel processing architecture is described to implement the VDPCM encoder/decoder hardware for real-time image coding applications. The architecture consists of processing elements in modular form, and each module is designed around AT&T's DSP32 chip. The system is flexible and expandable. The hardware was used to encode images at a rate of 0.5 bit pixel, and results are given. The hardware results are in agreement with the computer simulations.<>