Titlebook: MATLAB® Software for the Code Excited Linear Prediction Algorithm; The Federal Standard Karthikeyan N. Ramamurthy,Andreas S. Spanias Book 2

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1938-1727 de found within the book Table of Contents: Introduction to Linear Predictive Coding / Autocorrelation Analysis and Linear Prediction / Line Spectral Frequency Computation / Spectral Distortion / The Codebook Search / The FS-1016 Decoder978-3-031-00386-8978-3-031-01514-4Series ISSN 1938-1727 Series E-ISSN 1938-1735

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978-3-031-00386-8Springer Nature Switzerland AG 2009

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MATLAB® Software for the Code Excited Linear Prediction Algorithm978-3-031-01514-4Series ISSN 1938-1727 Series E-ISSN 1938-1735

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Synthesis Lectures on Algorithms and Software in Engineeringhttp://image.papertrans.cn/m/image/620077.jpg

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Autocorrelation Analysis and Linear Prediction,olves performing autocorrelation analysis of speech and using the Levinson-Durbin algorithm to compute the linear prediction coefficients. The autocorrelation coefficients are calculated and high frequency correction is done to prevent ill conditioning of the autocorrelation matrix. The autocorrelat

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Line Spectral Frequency Computation, systems. LSPs can be quantized using perceptual criteria and have good interpolation properties. Two LSP polynomials can be formed from the LP polynomial .(.). When .(.) is minimum phase, the zeros of the LSP polynomial have two interesting properties: (1) they lie on the unit circle and (2) the ze

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The Codebook Search,P residual is first predicted by the LTP and the SCB represents the random component in the residual. The LTP is also called as the Adaptive Codebook (ACB) because the memory of the LTP is considered as a codebook and the best matching pitch delay for a particular target is computed. Figure 5.1 prov

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