Results 271 to 280 of about 702,163 (313)
Some of the next articles are maybe not open access.
Laparoscopic spectral analysis of endometriosis
The Journal of the American Association of Gynecologic Laparoscopists, 2002To determine if lesions of endometriosis will preferentially absorb light of the blue spectrum thus enabling the detection of nonvisualized disease.Retrospective analysis (Canadian Task Force classification II-2).University based teaching hospital.Twenty-five women with pain suggestive of endometriosis.A noninvasive technique was employed to better ...
openaire +2 more sources
Spectral Analysis and Spectral Synthesis
2012Spectral analysis and spectral synthesis deal with the description of translation invariant function spaces over locally compact Abelian groups. One considers the space Open image in new window of all complex valued continuous functions on a locally compact Abelian group G, which is a locally convex topological linear space with respect to the point ...
openaire +1 more source
Spectral analysis of hypernasality
2010The aim of this study was to further investigate one-third-octave analysis by (a) extending the application of the analysis to three vowels, /inverted a sign/, /inverted c sign/ and /u/, in addition to /i/ which has been investigated previously, and by (b) comparing the spectra of each vowel produced in oral and nasal consonant contexts for each ...
Lee, ASY, Whitehill, TL, Cioeca, V
openaire +2 more sources
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 +1 more source
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 +1 more source
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
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
Large Graph Clustering With Simultaneous Spectral Embedding and Discretization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Zhen Wang, Zhaoqing Li, Rong Wang
exaly
Histograms of oriented mosaic gradients for snapshot spectral image description
ISPRS Journal of Photogrammetry and Remote Sensing, 2022+2 more
exaly
Spectral super-resolution meets deep learning: Achievements and challenges
Information Fusion, 2023Jiang He +2 more
exaly