Empirical Mode Decomposition for BER Improvement in Cellular Network
نویسندگان
چکیده
منابع مشابه
Using empirical mode decomposition for iris recognition
Article history: Iris recognition is known Received 5 December 2006 Received in revised form 31 July 2008 Accepted 28 September 2008 Available online 26 October 2008
متن کاملAn Alternative Algorithm for Empirical Mode Decomposition
The empirical mode decomposition (EMD) was a method pioneered by Huang et al [8] as an alternative technique to the traditional Fourier and wavelet techniques for studying signals. It decomposes a signal into several components called intrinsic mode functions (IMF), which have shown to admit better behaved instantaneous frequencies via Hilbert transforms. In this paper we propose an alternative...
متن کاملEmpirical Mode Decomposition for Eeg Signal Analysis
Electroencephalogram (EEG) is used to record electrical activity of brain. Human brain is fascinated by the different idea of thoughts and feelings generated from external and internal stimuli. Feature extraction and classification of EEG signal plays an important role in diagnosis of various brain diseases and mental tasks. In this paper, powerful technique of empirical mode decomposition (EMD...
متن کاملCombination of Empirical Mode Decomposition Components of HRV Signals for Discriminating Emotional States
Introduction Automatic human emotion recognition is one of the most interesting topics in the field of affective computing. However, development of a reliable approach with a reasonable recognition rate is a challenging task. The main objective of the present study was to propose a robust method for discrimination of emotional responses thorough examination of heart rate variability (HRV). In t...
متن کاملWeighted sliding Empirical Mode Decomposition
The analysis of nonlinear and nonstationary time series is still a challenge, as most classical time series analysis techniques are restricted to data that is, at least, stationary. Empirical mode decomposition (EMD) in combination with a Hilbert spectral transform, together called Hilbert-Huang transform (HHT), alleviates this problem in a purely data-driven manner. EMD adaptively and locally ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2009
ISSN: 1812-5638
DOI: 10.3923/itj.2010.146.151