22 search results - page 1 / 5 » Bounded gradient projection methods for sparse signal recove... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The 2- 1 sparse signal minimization problem can be solved efficiently by gradient projection. In many applications, the signal to be estimated is known to lie in some range of va...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper concerns the reconstruction of a temporally-varying scene from a video sequence of noisy linear projections. Assuming that each video frame is sparse or compressible in...
SIAMIS
2011
12 years 11 months ago
2011
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We provide two compressive sensing (CS) recovery algorithms based on iterative hard-thresholding. The algorithms, collectively dubbed as algebraic pursuits (ALPS), exploit the res...