Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission
Reexamination Certificate
1998-03-26
2008-12-09
Hudspeth, David R. (Department: 2741)
Data processing: speech signal processing, linguistics, language
Speech signal processing
For storage or transmission
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).
Maeda Shuichi
Maeda Yuji
Azad Abul K.
Hudspeth David R.
Maioli Jay H.
Sony Corporation
LandOfFree
Vector search method does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Vector search method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Vector search method will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4031291