Least squares superposition codes of moderate dictionary size are reliable at rates up to capacity
For the additive white Gaussian noise channel with average codeword power constraint,
coding methods are analyzed in which the codewords are sparse superpositions, that is …
coding methods are analyzed in which the codewords are sparse superpositions, that is …
Fast Sparse Superposition Codes Have Near Exponential Error Probability for
For the additive white Gaussian noise channel with average codeword power constraint,
sparse superposition codes are developed. These codes are based on the statistical high …
sparse superposition codes are developed. These codes are based on the statistical high …
Sparse regression codes
R Venkataramanan, S Tatikonda… - … and Trends® in …, 2019 - nowpublishers.com
Developing computationally-efficient codes that approach the Shannon-theoretic limits for
communication and compression has long been one of the major goals of information and …
communication and compression has long been one of the major goals of information and …
Lossy compression via sparse linear regression: Computationally efficient encoding and decoding
R Venkataramanan, T Sarkar… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
We propose computationally efficient encoders and decoders for lossy compression using a
sparse regression code. The codebook is defined by a design matrix and codewords are …
sparse regression code. The codebook is defined by a design matrix and codewords are …
Lossy compression via sparse linear regression: Performance under minimum-distance encoding
R Venkataramanan, A Joseph… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
We study a new class of codes for lossy compression with the squared-error distortion
criterion, designed using the statistical framework of high-dimensional linear regression …
criterion, designed using the statistical framework of high-dimensional linear regression …
Sparse regression codes for multi-terminal source and channel coding
R Venkataramanan, S Tatikonda - 2012 50th Annual Allerton …, 2012 - ieeexplore.ieee.org
We study a new class of codes for Gaussian multiterminal source and channel coding.
These codes are designed using the statistical framework of high-dimensional linear …
These codes are designed using the statistical framework of high-dimensional linear …
Gaussian rate-distortion via sparse linear regression over compact dictionaries
R Venkataramanan, A Joseph… - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
We study a class of codes for compressing memoryless Gaussian sources, designed using
the statistical framework of high-dimensional linear regression. Codewords are linear …
the statistical framework of high-dimensional linear regression. Codewords are linear …
Compressed FEC codes with spatial-coupling
An error floor problem is observed for a spatially coupled sparse-regression (SCSR) code
with limited sparsity in low-to-medium rates. This letter presents a scheme that also involves …
with limited sparsity in low-to-medium rates. This letter presents a scheme that also involves …
The rate-distortion function and excess-distortion exponent of sparse regression codes with optimal encoding
R Venkataramanan, S Tatikonda - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper studies the performance of sparse regression codes for lossy compression with
the squared-error distortion criterion. In a sparse regression code, code words are linear …
the squared-error distortion criterion. In a sparse regression code, code words are linear …
Fast sparse superposition codes have exponentially small error probability for R< C
For the additive white Gaussian noise channel with average codeword power constraint,
sparse superposition codes are developed. These codes are based on the statistical high …
sparse superposition codes are developed. These codes are based on the statistical high …