由于它在生物医学信号分析、语音识别、无线通信等领域应用的不断拓广，它已成为一个热门的研究领域。
It has become an increasing important research field due to its rapid growing applications in various areas, such as biomedical signal analysis, speech recognition, tele communication and so on.
盲信道辨识也可应用于信号处理的其他领域，如地震波分析、雷达波分析、图象盲恢复、生物医学信号分析等，因此具有很高的实用价值。
Therefore, it is more efficient and more applicable to advanced communication systems. Blind channel identification also has applications in image restoration, geoscience, etc.
HHT作为一种新的信号分析理论，已逐步应用到地震信号分析、机械故障诊断、流体力学、医学信号处理和语音信号处理等领域。
As a new signal analysis theory, HHT has gradually applied to seismic signal analysis, mechanical failure diagnosis, hydrodynamics, medical signal processing, voice signal processing, and so on.
应用统计信号分析导论，第三版，生物医学和电气工程应用指南。
Introduction to Applied Statistical Signal Analysis, Third Edition Guide to Biomedical and Electrical Engineering Applications. PDF.
在对生物医学信号时间序列进行复杂度分析时，往往需要首先对原始信号进行粗粒化预处理。
It is often to take a coarse graining preprocessing before a complexity analysis is made for biomedical signal time series.
实际研究表明，时频分析方法能够解决很多生物医学信号问题。
It has been shown that many biomedical signal problems may benefit from time frequency analysis.
诱发电位(ep)信号的检测与分析技术是临床医学诊断神经系统损伤及病变的一种重要手段。
The detection and analysis of evoked potentials (EPs) is an important means in clinical diagnosis for the injury and disease of central nervous system.
表面肌电的信号检测是一种无创电检测方法，其信号的检测分析在临床诊断、康复医学及运动医学中具有重要意义。
The detection on signal of EMG is a non-invasive method, which has great importance in clinical diagnosis, rehabilitation and sport medicine.
肌电信号的检测与分析对临床诊断以及康复医学具有重要意义。
The detection and analysis of electromyographic signal is of far reaching importance for clinical diagnosis as well as for convalescence medicine.
表面肌电信号的检测是一种无创电检测方法，它的检验分析对临床诊断及康复医学、运动医学等具有重要意义。
The detection of surface EMG signal is a noninvasive method, which has great importance in clinical diagnosis, rehabilitation medicine and sport medicine.
对心电信号进行分析处理，以及时准确获取病人生理活动可靠的内部特征信息，是生物医学研究者所面临的重要问题。
For getting accurate intrinsic characteristic message of physiology activity of patient in time, ECG signal analysis and processing becomes an important problem facing medicinal researchers.
本文综合应用计算机科学技术、自动控制理论和医学物理诊断技术，研究肢体血流图信号处理和肢体血流图像数据的分析方法。
In this paper, using computer science technology, automation control theory, and medical physic diagnose technology to analysis blood-flow signal and image data.
实际研究表明，时频分析方法能够解决很多生物医学信号问题。
It has been shown that many biomedical signal problems may benefit from time frequency analysis. The basic method of time freq...
实际研究表明，时频分析方法能够解决很多生物医学信号问题。
It has been shown that many biomedical signal problems may benefit from time frequency analysis. The basic method of time freq...
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