Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/253256
Title: Certain investigations on hybrid code based test data compression and decompression techniques with optimum parameters for vlsi circuits
Researcher: Kalamani C
Guide(s): Paramasivam K
Keywords: Data Compression
Decompression
Engineering and Technology,Engineering,Engineering Electrical and Electronic
Hybrid Code
VLSI Circuits
University: Anna University
Completed Date: 2018
Abstract: Higher circuit densities in system-on-chip (SOC) designs have led to drastic increase in test data volume for testing of Intellectual property (IP) cores. Larger test data size demands higher memory requirements. Test data compression addresses this problem by reducing the test data volume without disturbing the overall system performance during testing in BIST environment. Test data compression involves adding some additional on-chip hardware before and after the scan chains. This additional hardware decompresses the test stimulus coming from the tester, it also compacts the response after the scan chains and before it goes to the tester. This permits storing the test data in a compressed form on the tester. It is also easier to newlineadopt in industry because it s compatible with the conventional design rules and test generation flows for scan testing. Test data compression provides two benefits. First, it reduces the amount of data stored on the tester, which can extend the life of older testers that have limited memory. Second, it can reduce the test time for a given test data bandwidth. Test vectors are highly compressible because typically only 1% to 5% of their bits are specified (care) bits. Test compression is an effective method for reducing test data volume and memory requirements with relatively small cost. Code based scheme is one of the suitable test data compression technique to encode the test cubes. The techniques partition the original data into symbols, and then each symbol is replaced with a code word to form the compressed data. The decompression is performed by reversing the process using a decoder that simply converts each code word into the corresponding symbol. newline newline
Pagination: xxvi, 187p.
URI: http://hdl.handle.net/10603/253256
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File17.69 kBAdobe PDFView/Open
02_certificates.pdf895.78 kBAdobe PDFView/Open
03_abstract.pdf193.8 kBAdobe PDFView/Open
04_acknowledgement.pdf99.67 kBAdobe PDFView/Open
05_table of contents.pdf3.68 MBAdobe PDFView/Open
06_list_of_tables.pdf3.68 MBAdobe PDFView/Open
07_list_of_figures.pdf3.68 MBAdobe PDFView/Open
08_list_of_symbols and abbreviations.pdf179.5 kBAdobe PDFView/Open
09_chapter1.pdf1.19 MBAdobe PDFView/Open
10_chapter2.pdf252.16 kBAdobe PDFView/Open
11_chapter3.pdf324.19 kBAdobe PDFView/Open
12_chapter4.pdf1.04 MBAdobe PDFView/Open
13_chapter5.pdf711.89 kBAdobe PDFView/Open
14_chapter6.pdf807.68 kBAdobe PDFView/Open
15_conclusion.pdf165.61 kBAdobe PDFView/Open
16_references.pdf189.97 kBAdobe PDFView/Open
17_list_of_publications.pdf152.32 kBAdobe PDFView/Open
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