Your English writing platform
Free sign upExact(4)
The broadband channel is described by a sparse channel model in which multipath taps are widely separated in time, thereby creating a large delay spread [4 8].
The non-binary LDPC codes described by a sparse parity check matrix with elements in GF q) have been developed by Davey and MacKay in 1998 [1].
In current broadband wireless communication systems, channel impulse response in time domain is often described by a sparse channel model, supported by a few large coefficients.
Although the statistics of SAR images imply that there was no basis or dictionary where the data could be assumed sparse, Rilling et al. [7] investigated two simple techniques, post processing and hybrid compressed sensing, to enhance the quality of the reconstructed SAR image in the non-compressible areas which could not be well described by a sparse approximation.
Similar(56)
The first is that sparse representation for the single-view image is described by a ℓ1-norm minimization model.
L1 regularization has attracted recent attention in reconstructing the system properties in the case of sparse inverse problems; i.e., when the true property sought is not adequately described by a continuous distribution, in particular in Compressed Sensing image reconstruction.
Results show that tiny and sparse networks – characterized by a high Betweenness centrality and a high Average path length – achieved more citations per document than dense and compact networks – described by a high Clustering coefficient and a high Average degree.
In this paper we highlight numerical computation of coefficient in sparse reconstruction methods for image deblurring, described by an operator Φ : X → Y between Hilbert spaces X and Y.
LDPCs are linear block codes (N,K) and can be described by sparse binary parity-check H matrices with dimensions (N - K) × N.
Since the accumulator can also be described using a sparse bipartite graph, a PA code is, overall, an LDPC code.
Existence of projections was given qualitatively as either absent ('0') or present, where the presence was described by ordinal weights as sparse ('1'), intermediate ('2'), or dense ('3'3.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com