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Articles by Liyong Zhang
Total Records ( 3 ) for Liyong Zhang
  Yanping Li and Liyong Zhang
  ML algorithm has low computational complexity but its timing estimation is not good. In order to improve the problem, combination of stochastic approximation and ML algorithm is proposed. Using ML algorithm as timing coarse estimation and stochastic approximation algorithm as timing fine estimation, the simulation results show that the proposed algorithm can realize more accurate symbol timing than ML algorithm.
  Jin Shang and Liyong Zhang
  Power dissipation during testing has been found to be much more than during normal mode due to increased switching activity. Test vector reordering technique helps mitigate this problem as it enables the reduction of switching activity during testing. This study presents a new test vector reordering approach. This approach maps the reordering problem to Traveling Salesman Problem (TSP). A hybrid ant colony algorithm and genetic algorithm is presented to solve this problem. The proposed approach is effective and verified with ISCAS’85 benchmark circuits which shows that yield on an average of about 30.05% reduction in switching activity.
  Jin Shang and Liyong Zhang
  In order to reduce the storage requirements for the test pattern, a test data compression scheme based on compatible data block coding is presented. In the scheme, binary code is used to express the test data which are compatible or inversely compatible with reference data which are improved compression radio. The circuit structure of decompression with a Finite State Machine (FSM) and a Cyclical Scan Register (CSR) was proposed. Experimental results for the large ISCAS 89 benchmark circuits show that this scheme is a very efficient compression method than other compression schemes and the average compression ratio of up to 63.89%.
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