Scalable and perceptually ranked signal coding and decoding

Details Scalable and perceptually ranked signal coding and decoding Scalable and perceptually ranked signal coding and decoding

2006-11-14

2006-11-14

Tran, Khai (Department: 2611)

Pulse or digital communications

Pulse code modulation

C370S203000, C370S429000, C382S128000

Reexamination Certificate

active

07136418

ABSTRACT:
A method and system for encoding and decoding an input signal in relation to the most perceptually relevant aspects of the input signal. A two-dimensional (2D) transform is applied to the input signal to produce a magnitude matrix and a phase matrix that can be inverse quantized by a decoder. A first column of coefficients of the magnitude matrix represents a mean spectral density (MSD) function of the input signal. Relevant aspects of the MSD function are encoded at a beginning of a data packet. The MSD function is also processed through a core perception model to determine bit allocation. The matrices are then quantized and priority ordered into a data packet, with the least perceptually relevant information at the end of the packet so that it may be ignored or truncated for scalability to the channel data rate capacity.

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