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This paper presents a new online clustering algorithm called SAFN which is used to learn continuously evolving clusters from non-stationary data. The SAFN uses a fast adaptive learning procedure to take into account variations over time. In non-stationary and multi-class environment, the SAFN learning procedure consists of five main stages: creation, adaptation, mergence, split and elimination. Experiments...
We derive the capacities of a class of channels, either memoryless or indecomposable finite-state, that also suffer from bursts of erasures. For such channels, we analyze the performances of low-density parity-check (LDPC) codes and code ensembles under belief propagation (BP) decoding, using density evolution (DE) techniques. Although known LDPC codes perform well in non-erasure-affected channels,...
A radiation hardened read circuit for a SONOS type EEPROM memory is designed in 0.6mum SOI process. Total dose radiation would cause large threshold voltage shifts of both memory cells and MOS transistors, hence degrades the reliability and performance of the sense amplifier. Compensation techniques for the sampling inverter and discharge path are proposed to achieve radiation hardness. Double branch...
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