Vector search method

Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission

Reexamination Certificate

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C704S230000

Reexamination Certificate

active

07464030

ABSTRACT:
Each of the M basic vectors in a noise code book260is multiplied by a factor ±1 in a sign adder270and combined in an adder280to create 2Mnoise signed vectors. The characteristic of the binary Gray code is utilized as follows. A change ΔGuobtained between a noise signed vector based on a signed word i of the binary Gray code and a noise sign vector based on a sign word u adjacent to the sign word i and different from the sign word i only in a predetermined bit position v is used in such a manner that a sign word u′ which is next to reverse the bit position v on the Gray code sequence can express a change ΔGu′from the noise signed vector by utilizing the fact that the sign word u′ differs from the sign word u only in one bit position w excluding the bit position V. Thus, calculation is simplified, increasing the vector search speed.

REFERENCES:
patent: 4817157 (1989-03-01), Gerson
patent: 4896361 (1990-01-01), Gerson
patent: 5519806 (1996-05-01), Nakamura
patent: 5633982 (1997-05-01), Ganesan et al.
patent: 0501420 (1992-09-01), None
patent: 0516439 (1992-12-01), None
patent: 06 02954 (1994-06-01), None
Popescu et al. (CELP Coding Using Trellis-Coded Vector Quantization of the Excitation); IEEE Trans actions on speech and audio processing, vol. 3, No. 6, pp. 464-472, 1995.
Chan et al. (Efficient codebook search procedure for vector-sum excited liner predective coding of speech); Electronics Letters, vol. 30, No. 22, pp. 1830-1831, Oct. 1994.
I. Gerson et al.,Vector Sum Excited Linear Prediction, Advances in Speech Coding, pp. 69-79 (Jan. 1, 1991).

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