
This paper is about the reduction of the computational complexity of a speech codec. A linear predictive coding procedure is developed to allow its implementation with number theoretic transforms. The use of fermat number transform can reduce, in a significant way, the cost of linear predictive algorithm implantation on digital signal processor.
Signal processing, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Speech coding, Performance analysis, Linear predictive coding, Speech synthesis, Computational complexity, Signal analysis, Speech analysis, Signal processing algorithms, Nonlinear filters, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, [MATH.MATH-NT] Mathematics [math]/Number Theory [math.NT]
Signal processing, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Speech coding, Performance analysis, Linear predictive coding, Speech synthesis, Computational complexity, Signal analysis, Speech analysis, Signal processing algorithms, Nonlinear filters, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, [MATH.MATH-NT] Mathematics [math]/Number Theory [math.NT]
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