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jinzhend
- 独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医 域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和 究的发展方向，旨在进一步推动有关的理论与应用研究工作。-Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical in
BioMedicalInstrumentation
- ieee paper based on bio medical instrumentation
report-after-first-sem
- document of base line wander removing of bio medical signals
ECE082
- Abstract— with the latest advancements in electronics, several techniques are used for removal of unwanted entities from signals especially that are implied in the most sophisticated applications. The removal of power line interference from m
Monitoring-of-bedridden-patients-Development-of-a
- Bio-medical project for flex sensor based.
Bio-medical
- Bio medical Papers which will helps for bio medical engineers for developing final year project and new papers