Results 121 to 130 of about 561,044 (162)
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2009
This chapter contains sections titled: Preamble Long-Term LP Analysis by System Identification How Good Is the LP Model? Short-Term LP Analysis Alternative Representations of the LP Coefficients Applications of LP in Speech Analysis Conclusions Problems Proof of Theorem 5.1 The Orthogonality ...
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This chapter contains sections titled: Preamble Long-Term LP Analysis by System Identification How Good Is the LP Model? Short-Term LP Analysis Alternative Representations of the LP Coefficients Applications of LP in Speech Analysis Conclusions Problems Proof of Theorem 5.1 The Orthogonality ...
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An Iterative Linear Prediction Method
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 1970AbstractLet ξ(t) be a (possibly non stationary) stochastic process that we want to predict. When ξ(t) has mean zero and known covariance function a method is given for constructing a sequence of predictors, each predictor being a finite linear combination of observed process values.
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Proceedings of 1995 American Control Conference - ACC'95, 2005
Most predictive control algorithms, including the generalized predictive control (GPC),are based on linear dynamics. Many processes are severely nonlinear and would require high order linear approximations. Another approach, which is presented here, is to extend the basic adaptive GPC algorithm to a nonlinear form.
E. Katende, A. Jutan
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Most predictive control algorithms, including the generalized predictive control (GPC),are based on linear dynamics. Many processes are severely nonlinear and would require high order linear approximations. Another approach, which is presented here, is to extend the basic adaptive GPC algorithm to a nonlinear form.
E. Katende, A. Jutan
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1997
The most basic speech production model used in speech processing is, undoubtedly, the source-filter model. Since 1960, the year of its first appearance in Fant (1960) and its simplification into the auto-regressive model, it has given birth to dozens of profitable interpretations (see Markel and Gray, 1976 for a review), from maximum likelihood to ...
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The most basic speech production model used in speech processing is, undoubtedly, the source-filter model. Since 1960, the year of its first appearance in Fant (1960) and its simplification into the auto-regressive model, it has given birth to dozens of profitable interpretations (see Markel and Gray, 1976 for a review), from maximum likelihood to ...
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Linear Multivariate Prediction
1995In the area of QSAR, described in the preceding chapter 1, a response is measured for a given predictor. There, the main scientific question is how to find a model which allows the prediction of the multivariate response for a given multivariate predictor. The statistician faced with such a prediction problem has to consider many different aspects, for
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1999
The technique of linear prediction has been available for speech analysis since the late 1960s (Itakura & Saito, 1973a, 1970; Atal & Hanauer, 1971), although the basic principles were established long before this by Wiener (1947). Linear predictive coding, which is also known as autoregressive analysis, is a time-series algorithm that has applications ...
Jonathan Harrington, Steve Cassidy
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The technique of linear prediction has been available for speech analysis since the late 1960s (Itakura & Saito, 1973a, 1970; Atal & Hanauer, 1971), although the basic principles were established long before this by Wiener (1947). Linear predictive coding, which is also known as autoregressive analysis, is a time-series algorithm that has applications ...
Jonathan Harrington, Steve Cassidy
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Linear predictive coding systems
ICASSP '76. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005This paper describes the real time implementation of a Linear Predictive Coding algorithm that has been developed over the past five years. The algorithm chosen for the analyzer is a modification of the Covariance Method introduced by B. S. Atal [1],[2] of Bell Labs. The system for pitch extraction uses a minimum distance function correlation technique.
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Burst excited linear prediction
The Journal of the Acoustical Society of America, 1997A novel and improved apparatus for encoding a signal which is bursty in nature. In a code excited linear prediction algorithm, short term redundancies and long term redundancies are removed from digitally sampled speech, and the residual signal which is bursty in nature must be encoded.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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