physical characteristics of different features in desert is a reflection of severe thermal and climatic conditions. in this paper, diurnal surface temperature patterns of important surface features in lut desert were studied and the relationship among different surfaces analyzed. diurnal trend in surface temperature of surface types, marl, dark sand, light sand, salt-affected soil, soul at 10 c...

A multi-pattern encoding and decoding scheme is presented that extends the family of spectral associative memories (SAMs) to include gray-level, or analog patterns. SAMs are frequency-domain formulations of associative memory that combine the extrinsic redundancy of neural networks with the in-phase, quadrature, and complex modulation schemes of communications. Considerable coding gain occurs a...

Biometric recognition is more and more important due to security applications all over the world. Mobile phone becomes popular in recent years. Therefore, voice recognition on mobile devices for recognizing a speaker’s identity plays a potential role. This paper presents a speaker recognition method which combines a non-linear feature, named spectral dimension (SD), with Mel Frequency Cepstral ...

EEG (Electroencephalography) resting state was studied by means of group blind source separation (gBSS), employing a test-retest strategy in two large-sample normative databases (N=57 and N=84). Using a BSS method in the complex Fourier domain and a model-driven distributed inverse solution we closely replicate both the spatial distribution and spectral pattern of seven source components. Norms...

Pattern recognition is a multidisciplinary area that received more scientific attraction during this period of rapid technological innovation. Today, many real issues and scenarios require pattern to aid in the faster resolution complicated problems, particularly those cannot be solved using traditional human heuristics. One common problem dealing with multidimensional data, which prominent stu...

Nuclear Magnetic Resonance (NMR) Spectra were collected on milk and colostrum obtained from the author during the pregnancy and post-partum periods for two births. Peak features in the downfield region, containing antibody and aromatic resonances (6.0 to 9.0 ppm), varied over time. This time variation pattern, while nearly identical for milk following the author's two births, differed dramatica...

Methodology for assessment of depth of anaesthesia based on analysis of the electroencephalogram (EEG) is controversial. Techniques range from display of single measures, for example median value of the frequency spectrum, to dedicated pattern recognition systems based on measures of several EEG features. We have compared the performance of four techniques using tape-recorded data from 23 patie...