One of the important issues in speech emotion recognizing is selecting of appropriate feature sets in order to improve the detection rate and classification accuracy. In last studies researchers tried to select the appropriate features for classification by using the selecting and reducing the space of features methods, such as the Fisher and PCA. In this research, a hybrid evolutionary algorit...

This work accounts for an investigation about the diurnal variation of aerosol spectral transmittance of solar irradiance under dominant wind conditions as case studies. Such a work is carried out in Athens for first time. The spectral transmittance values estimated were derived using Ž . ground-based spectral measurements of beam irradiance in the range 310–575 nm UV and VIS . The data were re...

A signal-based pattern-recognition approach is used for structural damage diagnosis with a single or limited number of input/output signals. The approach is based on extraction of the features of the structural response that present a unique pattern for each specific damage case. In this study, frequency-based features and time-frequency-based features were extracted from measured vibration sig...

Introduction: Brain Computer Interface (BCI) systems based on Movement Imagination (MI) are widely used in recent decades. Separate feature extraction methods are employed in the MI data sets and classified in Virtual Reality (VR) environments for real-time applications. Methods: This study applied wide variety of features on the recorded data using Linear Discriminant Analysis (LDA) classifie...

A new approach to computation of spectral moments of temporal signals is proposed. The approach is based on the auto correlation sequence of the original temporal signal, and makes use of the fact that the power spectral density is a discrete-time continuous-frequency function. The new approach offers more efficient generation of moments than the approaches based on numerical integration of the...

Common spatial pattern (CSP) method is highly successful in calculating spatial filters for motor imagery-based brain-computer interfaces (BCIs). However, conventional CSP algorithm is based on a single wide frequency band with a poor frequency selectivity which will lead to poor recognition accuracy. To solve this problem, a novel Partitioned CSP (PCSP) algorithm is proposed to find the most r...

Syntactic methods in pattern recognition have been around for more than 20 years now [22, 23], and numerous applications have been done with these basic techniques. Structural pattern recognition is an even vaster field [47] (syntactic methods can actually be considered to belong to it), where many methods exist and have been used for various practical applications. These methods have been exte...

On the basis of three different experiments: oddball task (visual, auditory, and audio-visual stimuli), modified Sternberg's, and multistage memory tasks, it was shown that: a) there was not a single typical spectral pattern type that would characterize the majority of the trials; b) the total number of the different spectral pattern types was limited; c) different spectral pattern types had di...

Important spectral features, such as the emptiness of the residual spectrum, countability of the point spectrum, provided the space is separable, and a characterization of spectral gap at 0, known to hold for bounded scalar type spectral operators, are shown to naturally transfer to the unbounded case. Curiosity is the lust of the mind.