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mmsp08
- Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic methods and spectral methods. However, most of them are not able to accu
mypaper4
- To fully utilize the character of the bioradar echo signal, autocorrelation analysis, spectral estimation methods and time-frequency analysis are presented in this paper. These methods are employed to deal with no one, single people and multi-people
08-NTAV-SPA_165_Marciniak-Rochowniak-etal
- In this paper we propose a method for voice activity detection (VAD) in a speech signal recorded in the presence of noise. The so-called endpoint detection (EPD), i.e., detection of voice activity (speech) boundaries is very difficult if the
bathe_time_new
- An effective implicit time integration scheme was proposed for the fi nite element solution of nonlinear problems in structural dynamics. Various important attributes were demonstrated. In particular, it was shown that the scheme remains stable,
[first_author]_2014_Digital-Signal-Processing
- This study proposes a novel near infrared face recognition algorithm based on a combination of both local and global features. In this method local features are extracted from partitioned images by means of undecimated discrete wavelet transform