Name
Abstract | ||
|---|---|---|
We propose a scheme to estimate the parameters bi and cj of the bilinear form zm = Σi,j bizm(i,j) cj from noisy measurements {ym}mM=1, where ym and zm are related through an arbitrary likelihood function and zm(i,j) are known. Our scheme is based on generalized approximate message passing (G-AMP): it treats bi and cj as random variables and zm(i,j) as an i.i.d. Gaussian 3-way tensor in order to de... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/JSTSP.2016.2539123 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | Field | DocType |
Noise measurement,Estimation,Sparse matrices,Convolution,Uncertainty,Random variables,Deconvolution | Random variable,Mathematical optimization,Bilinear form,Tensor,Matrix (mathematics),Convolution,Gaussian,Compressed sensing,Mathematics,Bilinear interpolation | Journal |
Volume | Issue | ISSN |
10 | 4 | 1932-4553 |
Citations | PageRank | References |
3 | 0.40 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jason T. Parker | 1 | 192 | 8.11 |
| Philip Schniter | 2 | 1620 | 93.74 |