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Generalized spectrogram information


In order to view a signal (taken to be a function of time) represented over both time and frequency axis, time–frequency representation is used. Spectrogram is one of the most popular time-frequency representation, and generalized spectrogram, also called "two-window spectrogram", is the generalized application of spectrogram.

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Generalized spectrogram

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is used. Spectrogram is one of the most popular time-frequency representation, and generalized spectrogram, also called "two-window spectrogram", is the...

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Spectrogram

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A spectrogram is a visual representation of the spectrum of frequencies of a signal as it varies with time. When applied to an audio signal, spectrograms...

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Reassignment method

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is a technique for sharpening a time-frequency representation (e.g. spectrogram or the short-time Fourier transform) by mapping the data to time-frequency...

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Infantile myofibromatosis

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literature were diagnosed in fetuses based on the findings of fetal spectrogram and/or magnetic resonance imaging. IMF tumors in the viscera or deep...

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Statistical learning in language acquisition

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the environment. Although statistical learning is now thought to be a generalized learning mechanism, the phenomenon was first identified in human infant...

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Gammatone filter

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in C Archived 2012-04-14 at the Wayback Machine A real-time implementation in C++ (for PureData) Ellis's "Gammatone-like spectrogram" in Matlab v t e...

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Discrete Fourier transform

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standard technique is to perform multiple DFTs, for example to create a spectrogram. If the desired result is a power spectrum and noise or randomness is...

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Wavelet

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Scale space Scaled correlation Shearlet Short-time Fourier transform Spectrogram Ultra wideband radio – transmits wavelets Wireless Communications: Principles...

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Spectral density

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plotted versus time associated with the window. Such a graph is called a spectrogram. This is the basis of a number of spectral analysis techniques such as...

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Attosecond physics

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algorithms, such as: Principal component generalized projections algorithm (PCGPA). Volkov transform generalized projection algorithm (VTGPA). extended...

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Audio inpainting

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a huge amount of training data. This is necessary to make the network generalize well and make it able to produce coherent audio information, that also...

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Modified Wigner distribution function

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combination between the spectrogram and the Pseudo Wigner Distribution (PWD), the windowed version of the WD. The original WD, the spectrogram, and the modified...

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White noise

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independently) over time or among frequencies. One form of white noise is the generalized mean-square derivative of the Wiener process or Brownian motion. A generalization...

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Mixture of experts

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network" (essentially a multilayered convolution network over the mel spectrogram). They found that the resulting mixture of experts dedicated 5 experts...

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Receptive field

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firing rate of a neuron. Linear STRFs are created by first calculating a spectrogram of the acoustic stimulus, which determines how the spectral density of...

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Viktor Ambartsumian

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thirteenth magnitude were obtained, as was the first satellite ultraviolet spectrogram of a planetary nebula, revealing lines of aluminium and titanium-elements...

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Animal echolocation

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echolocation call (a call being a single continuous trace on a sound spectrogram, and a series of calls comprising a sequence or pass) can last anywhere...

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Convolutional neural network

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performs a two-dimensional convolution. Since these TDNNs operated on spectrograms, the resulting phoneme recognition system was invariant to both time...

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Spectral density estimation

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density function. Multidimensional spectral estimation Periodogram SigSpec Spectrogram Time–frequency analysis Time–frequency representation Whittle likelihood...

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Music theory

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David Lewin in the 1980s, and formally introduced in his 1987 work, Generalized Musical Intervals and Transformations. The theory, which models musical...

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Speech synthesis

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converts pictures of the acoustic patterns of speech in the form of a spectrogram back into sound. Using this device, Alvin Liberman and colleagues discovered...

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Deep learning

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explored successfully in the architecture of deep autoencoder on the "raw" spectrogram or linear filter-bank features in the late 1990s, showing its superiority...

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Filter bank

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filter bank and the spectrogram are the two simplest ways of producing a quadratic TFD; they are in essence similar as one (the spectrogram) is obtained by...

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Fourier analysis

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infrared and nuclear magnetic resonance spectroscopies; Generation of sound spectrograms used to analyze sounds; Passive sonar used to classify targets based...

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David Gunness

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engineers to develop a proprietary wavelet transform spectrogram for internal research. The EAW spectrogram reduced visual complexity by applying a zero-phase-shift...

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Pink noise

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rhythms, neural activity, and the statistics of DNA sequences, as a generalized pattern. An accessible introduction to the significance of pink noise...

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