In this study, we introduce a novel variant and application of the Collaborative Representation based Classification in spectral domain for recognition of the hand gestures using the raw surface Electromyography signals. The intuitive use of spectral features are explained via circulant matrices. The proposed Spectral Collaborative Representation based Classification (SCRC) is able to recognize...

The main objective of this paper is to solve the problem of finding graphs on which the spectral clustering method and the normalized cut produce different partitions. To this end, we derive formulae for minimum normalized cut for graphs in some classes such as paths, cycles, complete graphs, double-trees, lollipop graphs LPn,m, roach type graphs Rn,k and weighted paths Pn,k.

Periodogram is a graph showing the power spectrum density (PSD) of a signal, having power by frequency (dB/Hz) in yaxis and frequency (Hz) in x-axis. In other words it shows the corresponding power of the frequency components of the signal. Abnormalities in electrocardiograms (ECGs) show different frequency components in their power spectrum density. In this paper power spectrum density of the ...

The perceptual accuracy of an all-pole representation of the spectral envelope of voiced sounds may be enhanced by the use of frequency-scale warping prior to LP modeling. For the representation of harmonic amplitudes in the sinusoidal coding of voiced sounds, the effectiveness of frequency warping was shown to depend on the underlying signal spectral shape as determined by phoneme quality. In ...

Automatic recognition of human emotion in speech aims at recognizing the underlying emotional state of a speaker from the speech signal. The area has received rapidly increasing research interest over the past few years. However, designing powerful spectral features for high-performance speech emotion recognition (SER) remains an open challenge. Most spectral features employed in current SER te...

The Bidirectional Texture Function (BTF) is the recent most advanced representation of visual properties of surface materials. It specifies their appearance due to varying spatial, illumination, and viewing conditions. Corresponding enormous BTF measurements require a mathematical representation allowing extreme compression but simultaneously preserving its high visual fidelity. We present a no...

This paper presents a review of spectral decomposition of seismic data, since it's inception nearly in 1997. It discusses various techniques and applications of spectral decomposition in seismic data processing and interpretation. It is also known as timefrequency analysis consists of transforming non stationary signal in time/space from time/space domain to time/space vs frequency domain. The ...

This paper presents Stieltjes-type integration for operator-valued functions with respect to spectral families. The relation between RiemannStieltjes integrals associated with some classes of spectral families including, in particular, those that arise in the context of the Stone representation theorem for Banach spaces is established. The developed approach is applied to the structural analysi...

Our submission to the challenge therefore focusses on feature design for two goals: noise robustness, and the representation of temporal structure. We first analyse each sound file into basic features, either MFCCs (13 MFCCs plus delta features) or our peak-chirplet representation [3]. Importantly, both of these feature algorithms are modified to apply noise reduction in their spectral analysis...

We derive a spectral representation for the oblate spheroidal wave operator, which is holomorphic in the aspherical parameter Ω in a neighborhood of the real line. For real Ω, estimates are derived for all eigenvalue gaps uniformly in Ω. The proof of the gap estimates is based on detailed estimates for complex solutions of the Riccati equation. The spectral representation for complex Ω is deriv...