Journal of VLSI Signal Processing Systems - Special issue on multimedia signal processing
On achievable security levels for lattice data hiding in the known message attack scenario
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
High-rate quantization and transform coding with side information at the decoder
Signal Processing - Special section: Distributed source coding
PhantomNet: exploring optimal multicellular multiple antenna systems
EURASIP Journal on Applied Signal Processing
Bounds and lattice-based transmission strategies for the phase-faded dirty-paper channel
IEEE Transactions on Wireless Communications
Multiple-description coding by dithered delta-sigma quantization
IEEE Transactions on Information Theory
On the loss of single-letter characterization: the dirty multiple access channel
IEEE Transactions on Information Theory
Vector Gaussian hypothesis testing and lossy one-helper problem
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Joint Wyner-Ziv/dirty-paper coding by modulo-lattice modulation
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Non-cubic occupied voxel lists for robot maps
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
AAECC'07 Proceedings of the 17th international conference on Applied algebra, algebraic algorithms and error-correcting codes
Joint source channel coding with side information using hybrid digital analog codes
IEEE Transactions on Information Theory
N-channel asymmetric entropy-constrained multiple-description lattice vector quantization
IEEE Transactions on Information Theory
| Hi-index | 755.20 |
We present several results regarding the properties of a random vector, uniformly distributed over a lattice cell. This random vector is the quantization noise of a lattice quantizer at high resolution, or the noise of a dithered lattice quantizer at all distortion levels. We find that for the optimal lattice quantizers this noise is wide-sense-stationary and white. Any desirable noise spectra may be realized by an appropriate linear transformation (“shaping”) of a lattice quantizer. As the dimension increases, the normalized second moment of the optimal lattice quantizer goes to 1/2πe, and consequently the quantization noise approaches a white Gaussian process in the divergence sense. In entropy-coded dithered quantization, which can be modeled accurately as passing the source through an additive noise channel, this limit behavior implies that for large lattice dimension both the error and the bit rate approach the error and the information rate of an additive white Gaussian noise (AWGN) channel