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A test data compression scheme based on irrational numbers stored coding.
Wu, Hai-feng; Cheng, Yu-sheng; Zhan, Wen-fa; Cheng, Yi-fei; Wu, Qiong; Zhu, Shi-juan.
Afiliación
  • Wu HF; School of Computer and Information, Anqing Normal University, Anqing 246011, China.
  • Cheng YS; School of Computer and Information, Anqing Normal University, Anqing 246011, China.
  • Zhan WF; Department of Science Research, Anqing Normal University, Anqing 246011, China.
  • Cheng YF; School of Computer and Information, Anqing Normal University, Anqing 246011, China.
  • Wu Q; Department of Science Research, Anqing Normal University, Anqing 246011, China.
  • Zhu SJ; School of Computer and Information, Anqing Normal University, Anqing 246011, China.
ScientificWorldJournal ; 2014: 982728, 2014.
Article en En | MEDLINE | ID: mdl-25258744
ABSTRACT
Test question has already become an important factor to restrict the development of integrated circuit industry. A new test data compression scheme, namely irrational numbers stored (INS), is presented. To achieve the goal of compress test data efficiently, test data is converted into floating-point numbers, stored in the form of irrational numbers. The algorithm of converting floating-point number to irrational number precisely is given. Experimental results for some ISCAS 89 benchmarks show that the compression effect of proposed scheme is better than the coding methods such as FDR, AARLC, INDC, FAVLC, and VRL.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Almacenamiento y Recuperación de la Información / Compresión de Datos / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: ScientificWorldJournal Asunto de la revista: MEDICINA Año: 2014 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Almacenamiento y Recuperación de la Información / Compresión de Datos / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: ScientificWorldJournal Asunto de la revista: MEDICINA Año: 2014 Tipo del documento: Article País de afiliación: China