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An Introduction To Applied Mathematics by J.c. Jaeger

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1An Introduction To Applied Mathematics

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2Differential Equations And Their Applications : An Introduction To Applied Mathematics

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3An Introduction To Applied Mathematics

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4An Introduction To Applied Mathematics

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5An Introduction To Applied Mathematics

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  • Title: ➤  An Introduction To Applied Mathematics
  • Language: English

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6An Introduction To Applied Mathematics

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7Differential Equations And Their Applications : An Introduction To Applied Mathematics

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8Calculus: An Introduction To Applied Mathematics

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xi, 784 pages 24 cm

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  • Title: ➤  Calculus: An Introduction To Applied Mathematics
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  • Language: English

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9Differential Equations And Their Applications : An Introduction To Applied Mathematics

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xi, 784 pages 24 cm

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  • Language: English

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10Computer Algebra In Applied Mathematics : An Introduction To MACSYMA

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xi, 784 pages 24 cm

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  • Title: ➤  Computer Algebra In Applied Mathematics : An Introduction To MACSYMA
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The book is available for download in "texts" format, the size of the file-s is: 481.70 Mbs, the file-s for this book were downloaded 56 times, the file-s went public at Fri Sep 13 2019.

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11DTIC AD0765176: An Introduction To The Mathematics Of Linear Predictive Filtering As Applied To Speech Analysis And Synthesis

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A MINIMUM-MEAN-SQUARED-ERROR TECHNIQUE FOR ESTIMATING THE COEFFICIENTS OF THIS FILTER FROM SPEECH DATA IS PRESENTED. This technique leads to a set of equations for the coefficient estimates which can be solved by a computationally efficient recursive technique known as Levinson's method. The filter derived by the above mentioned technique can be realized by any standard technique; however, a particularly interesting realization is in terms of a digital simulation of a non-uniform acoustic tube. It is shown that any stable all-pole filter can be realized as an acoustic tube and, moreover, that the Levinson recursion produces as a by-product exactly the reflection coefficients needed for such a realization. The report concludes by showing how the classical theory of orthogonal polynomials can be applied to the speech analysis/synthesis problem and used to derive many of the results obtained above by other means.

“DTIC AD0765176: An Introduction To The Mathematics Of Linear Predictive Filtering As Applied To Speech Analysis And Synthesis” Metadata:

  • Title: ➤  DTIC AD0765176: An Introduction To The Mathematics Of Linear Predictive Filtering As Applied To Speech Analysis And Synthesis
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  • Language: English

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12DTIC AD0777579: An Introduction To The Mathematics Of Linear Predictive Filtering As Applied To Speech Analysis And Synthesis

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The note presents a tutorial survey of the mathematics that is used in the study of linear predictive filtering as applied to the analysis and synthesis of speech. Speech is modelled as the output of an all-pole filter that is driven by either a periodic pulse train or white noise. A minimum mean- squared-error technique for estimating the coefficients of this filter from speech data is presented. This technique leads to a set of equations for the coefficient estimates which can be solved by a computationally efficient recursive technique known as Levinson's method. The filter derived by the above mentioned technique can be realized by any standard technique; however, a particularly interesting realization is in terms of a digital simulation of a non-uniform acoustic tube. It is shown that any stable all-pole filter can be realized as an acoustic tube and, moreover, that the Levinson recursion produces as a by-product exactly the reflection coefficients needed for such a realization. The report concludes by showing how the classical theory of orthogonal polynomials can be applied to the speech analysis/synthesis problem and used to derive many of the results obtained above by other means.

“DTIC AD0777579: An Introduction To The Mathematics Of Linear Predictive Filtering As Applied To Speech Analysis And Synthesis” Metadata:

  • Title: ➤  DTIC AD0777579: An Introduction To The Mathematics Of Linear Predictive Filtering As Applied To Speech Analysis And Synthesis
  • Author: ➤  
  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 13.57 Mbs, the file-s for this book were downloaded 57 times, the file-s went public at Sat Nov 23 2019.

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13Mathematical Models : Mechanical Vibrations, Population Dynamics, And Traffic Flow : An Introduction To Applied Mathematics

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The note presents a tutorial survey of the mathematics that is used in the study of linear predictive filtering as applied to the analysis and synthesis of speech. Speech is modelled as the output of an all-pole filter that is driven by either a periodic pulse train or white noise. A minimum mean- squared-error technique for estimating the coefficients of this filter from speech data is presented. This technique leads to a set of equations for the coefficient estimates which can be solved by a computationally efficient recursive technique known as Levinson's method. The filter derived by the above mentioned technique can be realized by any standard technique; however, a particularly interesting realization is in terms of a digital simulation of a non-uniform acoustic tube. It is shown that any stable all-pole filter can be realized as an acoustic tube and, moreover, that the Levinson recursion produces as a by-product exactly the reflection coefficients needed for such a realization. The report concludes by showing how the classical theory of orthogonal polynomials can be applied to the speech analysis/synthesis problem and used to derive many of the results obtained above by other means.

“Mathematical Models : Mechanical Vibrations, Population Dynamics, And Traffic Flow : An Introduction To Applied Mathematics” Metadata:

  • Title: ➤  Mathematical Models : Mechanical Vibrations, Population Dynamics, And Traffic Flow : An Introduction To Applied Mathematics
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 1014.46 Mbs, the file-s for this book were downloaded 115 times, the file-s went public at Thu Feb 02 2023.

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14Calculus: An Introduction To Applied Mathematics

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The note presents a tutorial survey of the mathematics that is used in the study of linear predictive filtering as applied to the analysis and synthesis of speech. Speech is modelled as the output of an all-pole filter that is driven by either a periodic pulse train or white noise. A minimum mean- squared-error technique for estimating the coefficients of this filter from speech data is presented. This technique leads to a set of equations for the coefficient estimates which can be solved by a computationally efficient recursive technique known as Levinson's method. The filter derived by the above mentioned technique can be realized by any standard technique; however, a particularly interesting realization is in terms of a digital simulation of a non-uniform acoustic tube. It is shown that any stable all-pole filter can be realized as an acoustic tube and, moreover, that the Levinson recursion produces as a by-product exactly the reflection coefficients needed for such a realization. The report concludes by showing how the classical theory of orthogonal polynomials can be applied to the speech analysis/synthesis problem and used to derive many of the results obtained above by other means.

“Calculus: An Introduction To Applied Mathematics” Metadata:

  • Title: ➤  Calculus: An Introduction To Applied Mathematics
  • Authors: ➤  
  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 882.11 Mbs, the file-s for this book were downloaded 577 times, the file-s went public at Mon Jul 19 2010.

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15Advanced Calculus: An Introduction To Applied Mathematics

The note presents a tutorial survey of the mathematics that is used in the study of linear predictive filtering as applied to the analysis and synthesis of speech. Speech is modelled as the output of an all-pole filter that is driven by either a periodic pulse train or white noise. A minimum mean- squared-error technique for estimating the coefficients of this filter from speech data is presented. This technique leads to a set of equations for the coefficient estimates which can be solved by a computationally efficient recursive technique known as Levinson's method. The filter derived by the above mentioned technique can be realized by any standard technique; however, a particularly interesting realization is in terms of a digital simulation of a non-uniform acoustic tube. It is shown that any stable all-pole filter can be realized as an acoustic tube and, moreover, that the Levinson recursion produces as a by-product exactly the reflection coefficients needed for such a realization. The report concludes by showing how the classical theory of orthogonal polynomials can be applied to the speech analysis/synthesis problem and used to derive many of the results obtained above by other means.

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  • Title: ➤  Advanced Calculus: An Introduction To Applied Mathematics
  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 1094.84 Mbs, the file-s for this book were downloaded 86 times, the file-s went public at Tue Dec 08 2020.

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1An Introduction to Applied Mathematics

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“An Introduction to Applied Mathematics” Metadata:

  • Title: ➤  An Introduction to Applied Mathematics
  • Author:
  • Language: English
  • Number of Pages: Median: 476
  • Publisher: Oxford at the Clarendon Press
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Access and General Info:

  • First Year Published: 1954
  • Is Full Text Available: Yes
  • Is The Book Public: No
  • Access Status: Borrowable

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