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New Improvements on Rate-Distortion Peformance of DPCM Using Multi-Rate Processing. Anna N. Kim, Tor A. Ramstad. The Classic DPCM Structure. +. Uniform Quanitzer. -. +. Linear Predictor. Rate Distortion Performance of DPCM. Previous Work. Farvardin & Modistino (1985)
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New Improvements on Rate-Distortion Peformance of DPCM Using Multi-Rate Processing Anna N. Kim, Tor A. Ramstad
The Classic DPCM Structure + Uniform Quanitzer - + Linear Predictor
Previous Work • Farvardin & Modistino (1985) • Øien & Ramstad (2001) • Guleryuz & Orchard (2001)
Øien & Ramstad: DPCM and The Wiener Filter + UQ W EC ED - + P
Guleryuz & Orchard: System Structure + 1-P L1 UQ EC ED L2 + C
Rate-Distortion Theory • Discrete Time Discrete Amplitude Source • Discrete Time Continuous Amplitude Source • Source With Memory
Optimal Mapping + H
Approximations & Assumptions • No correlation between quantizer input and quantization noise • No correlation between samples of quantizer output • Quantization noise variance • Entropy of quantizer output as bit rate
Proposed Codec (a) + L UQ EC ED L W - + P
Proposed Codec (b) + L r UQ EC ED r L W - + P
Discussions • Source Spectral Shaping • Bit Rate Reduction • Prediction Coefficient • Effects of Wiener Filter • Multi-Rate Processing
Bit Rate Reduction • Bit rate after down-sampling: • Additional bits for maintaining distortion level • Total bit rate reduction Ra : Rb Ra - Rb
The Linear Predictor • In classic DPCM • With down-sampling rate r
Multi-Rate Processing • Integer Sampling Rate Alteration • Fractional Sampling Rate Alteration Hd(z) M L Hu(z) L H(z) M
Conclusions • Rate Distortion Motivated Set-up • Simple Configuration • Superior Performance • Robust System
Future Work • Non-monotonically decreasing spectrum • Non-linear mapping • Application in low bit rate image coding