Method and device for quantizing linear predictive coefficient, and method and device for dequantizing same
AssigneesSamsung Electronics Co., Ltd., Industry-University Cooperation Foundation Hanyang University Erica Campus
InventorsHo-sang Sung, Sang-won Kang, Jong-hyun Kim, Eun-mi Oh
Life of this patent
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Abstract
A quantization device includes: a trellis-structured vector quantizer which quantizes a first error vector between an N-dimensional (here, “N” is two or more) subvector and a first predictive vector; and an inter-frame predictor which generates a first predictive vector from the quantized N-dimensional subvector, wherein the inter-frame predictor uses a predictive coefficient comprising an N×N matrix and performs an inter-frame prediction using the quantized N-dimensional subvector of a previous stage.
Claims19
A quantization apparatus comprising:
- an intra-frame predictor configured to generate a prediction vector of a current stage based on a prediction matrix and a quantized input vector of a previous stage, wherein the quantized input vector of the previous stage is obtained based on a quantized prediction error vector of the previous stage and a prediction vector of the previous stage;
- and
- a trellis-structured vector quantizer configured to quantize a prediction error vector of the current stage which corresponds to a difference between the prediction vector of the current stage and an input vector of the current stage to generate the quantized prediction error vector of the current stage.
A quantization apparatus comprising:
- an inter-frame predictor configured to generate a first prediction vector of a current frame from a quantized input vector of a previous frame;
- an intra-frame predictor configured to generate a second prediction vector of the current frame by estimating a current stage sub-vector of the second prediction vector of the current frame based on a prediction matrix of a current stage and a previous stage sub-vector of a quantized first error vector of the current frame, wherein the quantized first error vector of the current frame is obtained based on the second prediction vector of the current frame and a quantized second error vector of the current frame;
- and
- a trellis-structured vector quantizer configured to quantize a second error vector of the current frame which corresponds to a difference between a first error vector of the current frame and the second prediction vector of the current frame to generate a quantized second prediction error vector of the current frame, wherein the first error vector of the current frame corresponds to a difference between the first prediction vector of the current frame and an input vector of the current frame.
A quantization apparatus comprising:
- a first quantization module for performing quantization without an inter-frame prediction;
- and
- a second quantization module for performing quantization with an inter-frame prediction,
- wherein the first quantization module comprises:
- a first intra-frame predictor configured to generate a prediction vector by estimating a current stage sub-vector of the prediction vector based on a first prediction matrix of a current stage and a previous stage sub-vector of a quantized input vector, wherein the quantized input vector is obtained based on a quantized prediction error vector and the prediction vector;
- and
- a first trellis-structured vector quantizer configured to quantize a prediction error vector which corresponds to a difference between the prediction vector and an input vector to generate the quantized prediction error vector.
Dependencies are inferred from the claim text.