Method and device for quantizing linear predictive coefficient, and method and device for dequantizing same

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 trellis-structured vector quantizer configured to quantize a first error vector of a current frame which corresponds to a difference between a first prediction vector of the current frame and an N-dimension sub-vector of the current frame, where N is a natural number greater than or equal to 2;
• a first intra-frame predictor configured to generate the first prediction vector of the current frame from a quantized N-dimension sub-vector of the current frame;
• and
• a first vector quantizer configured to quantize a quantization error vector of the current frame which corresponds to a difference between the quantized N-dimension sub-vector of the current frame and the N-dimension sub-vector of the current frame,
• wherein the first intra-frame predictor is configured to use a prediction coefficient with an N×N matrix and to perform intra-frame prediction by using the quantized N-dimension sub-vector of the current frame.

A quantization apparatus comprising:

• an intra-frame predictor configured to generate a prediction vector of a current stage from a quantized N-dimension linear vector of a previous stage and a prediction matrix of the current stage;
• and
• a vector quantizer configured to generate a first quantized error vector by quantizing a first error vector which corresponds to a difference between the prediction vector of the current stage and an N-dimension linear vector of the current stage,
• wherein a linear vector of the previous stage is generated based on an error vector of the previous stage and a prediction vector of the previous stage.

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 first prediction vector of a current stage from a quantized N-dimension linear vector of a previous stage and a first prediction matrix of the current stage;
• and
• a first vector quantizer configured to generate a first quantized error vector by quantizing a first error vector which corresponds to a difference between the first prediction vector of the current stage and an N-dimension linear vector of the current stage,
• wherein a linear vector of the previous stage is generated based on an error vector of the previous stage and a prediction vector of the previous stage.