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Electronic Colloquium on Computational Complexity
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REPORTS > KEYWORD > COMPRESSED SENSING:
Reports tagged with compressed sensing:
TR08-102 | 9th November 2008
Adi Akavia

Finding Significant Fourier Transform Coefficients Deterministically and Locally

Computing the Fourier transform is a basic building block used in numerous applications. For data intensive applications, even the $O(N\log N)$ running time of the Fast Fourier Transform (FFT) algorithm may be too slow, and {\em sub-linear} running time is necessary. Clearly, outputting the entire Fourier transform in sub-linear time ... more >>>


TR10-162 | 30th October 2010
Zohar Karnin

Deterministic Construction of a high dimensional $\ell_p$ section in $\ell_1^n$ for any $p<2$

For any $00$, we give an efficient
deterministic construction of a linear subspace $V \subseteq
\R^n$, of dimension $(1-\epsilon)n$ in which the $\ell_p$ and
$\ell_r$ norms are the same up to a multiplicative factor of
$\poly(\epsilon^{-1})$ (after the correct normalization). As a
corollary we get a deterministic compressed sensing algorithm
more >>>


TR11-147 | 2nd November 2011
Michael Forbes, Amir Shpilka

On Identity Testing of Tensors, Low-rank Recovery and Compressed Sensing

We study the problem of obtaining efficient, deterministic, black-box polynomial identity testing algorithms for depth-3 set-multilinear circuits (over arbitrary fields). This class of circuits has an efficient, deterministic, white-box polynomial identity testing algorithm (due to Raz and Shpilka), but has no known such black-box algorithm. We recast this problem as ... more >>>




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