spectrogram
Zhuo Chen, Brian Mcfee, Daniel P. W. Ellis · 2016
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About 10,000 papers for “Spectrogram”
Zhuo Chen, Brian Mcfee, Daniel P. W. Ellis · 2016
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J. J. Carabias, F. J. Rodriguez, P. Vera et al. · 2013
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Sebastian, swapna · Mendeley Data · 2024
Spectrographic parameters
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M. De Bruin · IUPAC Standards Online · 2016
This glossary lists close to 400 terms and definitions commonly used in radiochemistry, with emphasis on radioanalytical chemistry. Part of the definitions have been taken, sometimes with minor modifications, from existing glossaries of such organizations as the International Organization for Standardization and the International Electrotechnical Commission. In cases where no acceptable definition could be found, a new definition is proposed.
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Sharon A. Stevenson (89656), Michelle R. Ciucci (490354), Cynthia A. Kelm-Nelson (304514) · Figshare · 2019
<p>Spectrograms (<i>x</i> axis: time (sec), <i>y</i>-axis: frequency in (kHz)) of complex frequency-modulated USVs in representative samples from (A, B) Wildtype (WT), (C, D) Control <i>Pink1</i>-/-, (E, F) Sham-exercised (sham-ex) <i>Pink1</i>-/-, and (G, H) Vocal-exercised (vocal-ex) <i>Pink1</i>-/- rats at 8 months of age. Within black and white spectrograms: relative intensity (dB, loudness) is encoded by darkness of the signal; darker is louder. Legend for relative intensity for color spectrograms is at the bottom of the Fig Peak frequency (pf) is indicated above each vocalization per group. Scale bar (0.05 sec) is located in panel A.</p>
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Gladez Shorland (7048745), Emilie Genty (5657551), Christof Neumann (441786) et al. · Figshare · 2022
<p>Example of a stimulus from KEL used for the playback experiment. Clicks used to mark calls from focal individual have been removed and natural call intervals preserved.</p> <p>(PDF)</p>
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Nunzi, Jean-Michel · Figshare · 2025
Raw data for the sum frequency generation spectrogram [Fig 6 in the manuscript]: SFG Spectrogram.
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Nunzi, Jean-Michel · Figshare · 2025
Raw data for the sum frequency generation spectrogram [Fig 6 in the manuscript]: SFG Spectrogram.
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Oxford University Press eBooks · 2023
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Shoichiro Nagataa, Masato Enokizonob, Tomasz Chadyc et al. · 2016
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Alexandra N. Constaratas (11133315), Mark A. McDonald (9668186), Kimberly T. Goetz (9944333) et al. · Figshare · 2021
<p>Colors: spectrogram of one.wav file (here: from the Cook Strait dataset) showing fin whale ‘doublet’ calls. Black and white: binarized spectrogram. Frequency resolution = 1 Hz, time resolution = 0.5 s, binarization thresholds = determined with trials (Cook Strait dataset: 88 dB, Gisborne dataset: -100 relative dB; <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0253737#pone.0253737.s001" target="_blank">S1 Appendix</a>).</p>
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Brian N. Pasley (185847), Stephen V. David (185849), Nima Mesgarani (185850) et al. · Figshare · 2015
<p>(A) Top: spectrogram of six isolated words (deep, jazz, cause) and pseudowords (fook, ors, nim) presented aurally to an individual participant. Bottom: spectrogram-based reconstruction of the same speech segment, linearly decoded from a set of electrodes. Purple and green bars denote vowels and fricative consonants, respectively, and the spectrogram is normalized within each frequency channel for display. (B) Single trial high gamma band power (70–150 Hz, gray curves) induced by the speech segment in (A). Recordings are from four different STG sites used in the reconstruction. The high gamma response at each site is <i>z</i>-scored and plotted in standard deviation (SD) units. Right panel: frequency tuning curves (dark black) for each of the four electrode sites, sorted by peak frequency and normalized by maximum amplitude. Red bars overlay each peak frequency and indicate SEM of the parameter estimate. Frequency tuning was computed from spectro-temporal receptive fields (STRFs) measured at each individual electrode site. Tuning curves exhibit a range of functional forms including multiple frequency peaks (<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001251#pbio.1001251.s001" target="_blank">Figures S1B and S2B</a>). (C) The anatomical distribution of fitted weights in the reconstruction model. Dashed box denotes the extent of the electrode grid (shown in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001251#pbio-1001251-g001" target="_blank">Figure 1</a>). Weight magnitudes are averaged over all time lags and spectrogram frequencies and spatially smoothed for display. Nonzero weights are largely focal to STG electrode sites. Scale bar is 10 mm.</p>
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Jinzhang Jia (9647878), Yumo Wu (9647884), Dan Zhao (285025) et al. · Figshare · 2022
<p>(a) X-ray diffractogram of the anthracite coal sample, (b) XRD-002 Peak Fitting Map of Anthracite.</p>
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Nhem, Thayheng · Zenodo (CERN European Organization for Nuclear Research) · 2025
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Eva Maria Luef (490182), Thomas Breuer (59756), Simone Pika (490183) · Figshare · 2016
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Eva Maria Luef (490182), Thomas Breuer (59756), Simone Pika (490183) · Figshare · 2016
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Jenks, Peter · California Digital Library · 2021
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Bowman, Daniel · Zenodo (CERN European Organization for Nuclear Research) · 2025
A minimal working example of circular spectrogram generation using scripts in the R programming language. Example data from the InSight SEIS instrument is used as input for the code.
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Kayelyn R. Simmons (10189845), David B. Eggleston (10189848), DelWayne R. Bohnenstiehl (10189851) · Figshare · 2021
<p>Spectrogram displaying the power spectral density (PSD in dB re 1μPa<sup>2</sup>/Hz) for Western Dry Rocks (A) and Eastern Sambo (B). Frequency bands are denoted as follows: H, high frequency (7,000–20,000Hz); L1 low frequency (50-300Hz); L2 low frequency (1,200–1,800Hz). Open and filled circles indicate the full and new moons respectively. Hurricane Irma made landfall on September 10, 2017. Data within the WDR post-window was not valid or used for quantitative analysis. Spectrogram was generated from the average spectra within each two-minute recording (NFFT = 2<sup>14</sup>, (Δ<i>f</i>) = 2.93 Hz).</p>
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Jenks, Peter · California Digital Library · 2021
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