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Transmission of synthetic aperture radar (SAR) data requires large bandwidth due to its inherently high data rate. Consequently, compression of the data is often required. In this paper, we propose a raw SAR data compression algorithm that employs a predictive coding scheme, based on the analysis-by-synthesis encoding method. The proposed algorithm is inspired by code excited linear prediction (CELP)...
Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation,...
CABAC is the entropy coding method adopted in H.264/AVC main profile. RDO is the mode decision method commended by JVT, which can improve the performance of encoder markedly. However, the computation complexity of video encoding increases drastically. In this paper, we propose a novel fast intra-mode decision algorithm for H.264, based on transform-domain bit-rate estimation technique, using the estimated...
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