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基于嵌入式零树编码(EZW)的脑电信号压缩算法 被引量:3

An EEG Compression Algorithm Based on Embedded Zerotree Wavelet(EZW).
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摘要 目的探索一种执行速度快压缩比高的脑电数据压缩算法。方法将改进的嵌入式零树编码 (em beddedzerotreewavelet,EZW)算法用于一维脑电信号的压缩。结果实验表明 ,该算法实现简单 ,编码速度快 ,并且在压缩比较高时仍能保持较低的失真度。结论本算法速度快 ,压缩比高 ,是一种非常有效的压缩方法。 Objective To study algorithm with high speed and high compression ratio for EEG signal. Method A wavelet compression algorithm for ECG based on EZW(embedded zerotree wavelet)coding was presented. Result The result of the experiment showed that the algorithm is simple and fast. It can achieve high compression ratio and fidelity. Conclusion The algorithm with high speed and high compression is very effective.
作者 路淼 周卫东
出处 《航天医学与医学工程》 CAS CSCD 北大核心 2004年第3期232-234,共3页 Space Medicine & Medical Engineering
关键词 小波变换 小波零树编码 编码算法 脑电图 信号压缩 嵌入式零树编码 EZW wavelet transform embedded zerotree wavelet(EZW) coding algorithm electroencephalogram(EEG) signal compression
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