Abstract
A target vector is coded by multi-stage vector quantization. A first stage of the coding of the target vector uses a first code vector stored in a first codebook. A scalar associated with a code of each first code vector is stored. A third code vector is determined by multiplying a second code vector stored in a second codebook and the scalar together performing distance calculation using the target vector the first code vector and the third code vector and performing a second stage of the coding of the target vector using a result of the distance calculation.
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5G,4G,3G,2G | 08/12/2005 | ISLD-200601-003 | PANASONIC CORP | No | Family Member | ||||
5G,4G,3G,2G | 14/10/2020 | ISLD-202010-001 | GODO KAISHA IP BRIDGE 1 |
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No | Family Member |
Specification Information
Specification Information
Technologies
Family Information
All Granted Patents In Patent Family : | ---- |
All Pending Patents In Patent Family : | ---- |
Publication No | Technology | Declaration Information | Specification Information | Explicitly Disclosed | Patent Type | |||||
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US6415254B1 | 5G,4G,3G,2G | 14/10/2020 | ISLD-202010-001 | GODO KAISHA IP BRIDGE 1 | Yes | Basis Patent | ||||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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EP2224597B1 | 5G,4G,3G,2G | 14/10/2020 | ISLD-202010-001 | GODO KAISHA IP BRIDGE 1 |
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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Technologies

Product
Use Cases
Services
Claim
1. A vector quantization apparatus for performing coding of a target vector by multi-stage vector quantization, the apparatus comprising:
a predictor for generating a predictive error vector based on the target vector;
a first codebook for storing a plurality of first code vectors;
a first quantizer for performing a first distance calculation using the predictive error vector provided by the predictor, a first code vector of the plurality of first code vectors stored in the first codebook and the target vector, and performing a first stage of the coding of the target vector using a result of the first distance calculation;
an amplifier storage for storing a plurality of scalars associated with codes of the plurality of first code vectors, respectively, each of the plurality of scalars being obtained by pre-training wherein the pre-training encodes a plurality of speech data by using one of the first code vectors associated with each of the codes and minimizes a sum of encoded distortions of the encoded plurality of speech data; and
a second quantizer for determining a third code vector by multiplying a second code vector stored in a second codebook and one of the plurality of scalars associated with a code of the first code vector determined at the first stage of coding together, calculating a difference vector between the target vector and the first code vector, performing a second distance calculation using the predictive error vector provided by the predictor, the difference vector, and the third code vector, and performing a second stage of the coding of the target vector using a result of the second distance calculation.', 'a predictor for generating a predictive error vector based on the target vector;', 'a first codebook for storing a plurality of first code vectors;', 'a first quantizer for performing a first distance calculation using the predictive error vector provided by the predictor, a first code vector of the plurality of first code vectors stored in the first codebook and the target vector, and performing a first stage of the coding of the target vector using a result of the first distance calculation;', 'an amplifier storage for storing a plurality of scalars associated with codes of the plurality of first code vectors, respectively, each of the plurality of scalars being obtained by pre-training wherein the pre-training encodes a plurality of speech data by using one of the first code vectors associated with each of the codes and minimizes a sum of encoded distortions of the encoded plurality of speech data; and', 'a second quantizer for determining a third code vector by multiplying a second code vector stored in a second codebook and one of the plurality of scalars associated with a code of the first code vector determined at the first stage of coding together, calculating a difference vector between the target vector and the first code vector, performing a second distance calculation using the predictive error vector provided by the predictor, the difference vector, and the third code vector, and performing a second stage of the coding of the target vector using a result of the second distance calculation.
2. The vector quantization apparatus according to claim 1,
wherein the second code vector stored in the second codebook is obtained by a computation using an amount of sample vectors for learning.', 'wherein the second code vector stored in the second codebook is obtained by a computation using an amount of sample vectors for learning.
3. A vector quantization method for performing coding of a target vector by multi-stage vector quantization, the vector quantization method being performed with a vector quantizer, the method comprising:
generating, by a predictor, a predictive error vector based on the target vector;
storing a plurality of first code vectors in a first codebook;
storing, in an amplifier storage, a plurality of scalars associated with codes of the plurality of first code vectors, respectively, each of the plurality of scalars being obtained by pre-training wherein the pre-training encodes a plurality of speech data by using one of the first code vectors associated with each of the codes and minimizes a sum of encoded distortions of the encoded plurality of speech data;
reading a first code vector of the plurality of first code vectors from the first codebook, performing a first distance calculation using the predictive error vector provided by the predictor, the first code vector, and the target vector, and performing a first stage of the coding of the target vector using a result of the first distance calculation;
reading one of the plurality of scalars associated with a code of the first code vector determined at the first stage of coding from the amplifier storage;
reading a second code vector from a second codebook, and determining a third code vector by multiplying the second code vector and the read one of the plurality of scalars together;
calculating a difference vector between the target vector and the first code vector;
performing a second distance calculation using the predictive error vector provided by the predictor, the difference vector, and the third code vector, and performing a second stage of the coding of the target vector using a result of the second distance calculation.', 'generating, by a predictor, a predictive error vector based on the target vector;', 'storing a plurality of first code vectors in a first codebook;', 'storing, in an amplifier storage, a plurality of scalars associated with codes of the plurality of first code vectors, respectively, each of the plurality of scalars being obtained by pre-training wherein the pre-training encodes a plurality of speech data by using one of the first code vectors associated with each of the codes and minimizes a sum of encoded distortions of the encoded plurality of speech data;', 'reading a first code vector of the plurality of first code vectors from the first codebook, performing a first distance calculation using the predictive error vector provided by the predictor, the first code vector, and the target vector, and performing a first stage of the coding of the target vector using a result of the first distance calculation;', 'reading one of the plurality of scalars associated with a code of the first code vector determined at the first stage of coding from the amplifier storage;', 'reading a second code vector from a second codebook, and determining a third code vector by multiplying the second code vector and the read one of the plurality of scalars together;', 'calculating a difference vector between the target vector and the first code vector;', 'performing a second distance calculation using the predictive error vector provided by the predictor, the difference vector, and the third code vector, and performing a second stage of the coding of the target vector using a result of the second distance calculation.
4. The vector quantization method according to claim 3,
wherein the second code vector stored in the second codebook is obtained by a computation using an amount of sample vectors for learning.', 'wherein the second code vector stored in the second codebook is obtained by a computation using an amount of sample vectors for learning.']
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Explicitly disclosed patent:openly and comprehensibly describes all details of the invention in the patent document.
Implicitly disclosed patent:does not explicitly state certain aspects of the invention, but still allows for these to be inferred from the information provided.
Basis patent:The core patent in a family, outlining the fundamental invention from which related patents or applications originate.
Family member:related patents or applications that share a common priority or original filing.