spectral estimation
A DOST Based Hybrid Fast Spectral Estimation for CR
... fast spectral estimation for cognitive radio systems to enhance the performance of the spectral estimation of the cognitive radio systems in the presence of fading ...
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Postfiltering Using Multichannel Spectral Estimation in Multispeaker Environments
... power spectral estimation methods have been proposed and ...with spectral estimation using inner product has a slightly higher suppression level than the method using joint diagonaliza- tion ...
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Spectral Estimation of Hidden Markov Models
... through spectral method-of-moments ...traditional estimation methods like EM and Gibbs sampling, the set of estimation methods, which we call spectral HMMs (sHMMs), are incredibly fast, do not ...
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Spectral Estimation for Noise Robust Speech Recognition
... SPECTRAL ESTIMATION FOR NOISE ROBUST SPEECH RECOGNITION SPECTRAL ESTIMATION FOR NOISE ROBUST SPEECH R E C O G N I T I O N Adoram Erell and Mitch Weintraub SRI International A B S T R A C T We present[.] ...
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Spectral estimation of the multivariate impulse response
... cross-spectral estimation of stationary time series, devel- oped some five decades ago, is the estimation of the lagged response of an output series causally dependent upon an input series, in the ...
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High Resolution Spectral Estimation using BP via Compressive Sensing
... For the SIHT, the authors use an over-sampled DFT frame and a coherent-inhibiting structured signal model, that inhibits closely spaced sinusoids, and the classical sinusoid parameter estimation algorithm, ...
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Spectral estimation of wetland carbon dioxide exchange
... global estimation of the mass and energy exchange between terre- strial ecosystems and the atmosphere can be carried out only with application of large spatial scale methods eg remote ...Several spectral ...
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Auroral spectral estimation with wide-band color mosaic CCDs
... Their camera systems combine thermoelectric cooling and image readout electronics in a convenient package with USB (universal serial bus) interface. Software drivers are provided for Windows and Linux operating systems. ...
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Filter Selection for Spectral Estimation Using a Trichrmatic Camera
... Table Table of Contents: of Contents: List of Figures: List of Tables: vii ix xiv Munsell Color Science Chapter 1 - Laboratory Spectral Notation: Introduction and xv Overview: 1-1 Introd[r] ...
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Short term spectral estimation with applications
... that spectral analysis is a very important technique for the investigation of a wide range of ...response estimation the methods of approach have been more ...
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Comparison of Spectral and Subspace Algorithms for FM Source Estimation
... paper, spectral and subspace DOA algorithms have been implemented for FM point source ...source. Spectral estimation techniques yield poor resolution ...subspace estimation techniques can be ...
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Efficient β -order Perceptually Motivated Spectral Amplitude Bayesian Estimator Based On Chidistribution for Speech Enhancement
... short-time spectral amplitude is based on the minimization of the squared-error cost function under the common Gaussian probability density function ...of spectral amplitude of speech in this ...Bayesian ...
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Adaptive spectral tracking for coherence estimation: the z-tracker
... The concept of time-frequency analysis is well es- tablished [20, 23]. Two broad classes of methods can be identified, spectrograms and wavelets. Spectrograms involve segmentation of data into short segments us- ing a ...
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Vol 4, No 2 (2018)
... of spectral estimation techniques complementary to the aforementioned ...The spectral estimation detectors offered the advantage of detection in cases were the spectral peak is covered ...
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Adaptive spectral tracking for coherence estimation: the z tracker
... The concept of time-frequency analysis is well es- tablished [20, 23]. Two broad classes of methods can be identified, spectrograms and wavelets. Spectrograms involve segmentation of data into short segments us- ing a ...
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Speech Enhancement using Laplacian Mixture Model under Signal Presence Uncertainty
... An MMSE estimator was derived for the speech spectral estimation from noisy signal based on the LMM for the speech DFT coefficient and the Gaussian model for the noise DFT coefficients.Results, in term of ...
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Sample space-time covariance matrix estimation
... This paper aims to close the gap, in order to link eigen- value and -space perturbations directly to the variance of sam- ple space-time covariance. To date, results have been derived for the broadband single channel ...
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A Note On Linear Stability of Steady Hydromagetic Flows of An Incompressible Fluid
... Windows are time-domain weighting functions that are used to reduce Gibbs’ oscillations resulting from the truncation of a Fourier series [17]. Their roots date back over one-hundred years to Fejer’s averaging technique ...
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Spectral Density Estimation of Continuous Time Series
... Although spectral analysis is one of the oldest tools for time series analysis, it is still one of the most widely used analysis techniques in many branches of sciences, ...the spectral estimation ...
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Research on Speech Endpoint Detection Algorithm with Low SNR
... and spectral subtraction based on multitaper spec- tral estimation [11], a speech signal endpoint detection algorithm is proposed in this ...improved spectral subtraction based on multitaper ...
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