Results 301 to 310 of about 25,686,348 (370)

Spectral Analysis

Digital Signal Processing, 2021
John L. Semmlow, Benjamin Griffel
openaire   +2 more sources

Spectral Symmetry Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
We present a spectral approach for detecting and analyzing rotational and reflectional symmetries in n-dimensions. Our main contribution is the derivation of a symmetry detection and analysis scheme for sets of points in IRn and its extension to image analysis by way of local features.
Michael, Chertok, Yosi, Keller
openaire   +2 more sources

Spectral Analysis

Resonant Scattering and Generation of Waves, 2018
Lutz Angermann, Vasyl V. Yatsyk
semanticscholar   +4 more sources

Walsh Spectral Analysis

SIAM Review, 1981
In this paper we review recent work on the stochastic approach of Walsh spectral analysis. We are mainly interested in the properties of the finite Walsh transform, which in turn allow us to derive...
openaire   +2 more sources

Spectral analysis

2001
Abstract Many pulse EPR experiments are performed by directly or indirectly detecting the free evolution of coherence. The resulting time-domain data contain information on the transition frequencies as we have seen in §§2.2 and 4.2.3. In this chapter we explain how a spectrum is obtained from such time-domain data by FT. For the case of
Arthur Schweiger, Gunnar Jeschke
openaire   +2 more sources

Spectral analysis

1990
Abstract In Section 2.7 we introduced the periodogram as a way of representing the variability in a time series in terms of harmonic components at various frequencies. We defined the periodogram ordinate at a particular frequency w to be proportional to the squared amplitude of the corresponding cosine wave, α cos(ω t)+ β sin( ω t ...
openaire   +1 more source

Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics

International Journal of Innovative Science and Research Technology
Speech is essential to human communication for expressing and understanding feelings. Emotional speech processing has challenges with expert data sampling, dataset organization, and computational complexity in large-scale analysis.
Zewar Shah, Shan Zhiyong, Adnan
semanticscholar   +1 more source

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