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» An FPGA Implementation for Solving Least Square Problem
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ISIP
2008
IEEE
14 years 1 months ago
FPGA Implementation of an Adaptive Noise Canceller
This paper proposes an FPGA implementation of an Adaptive Noise Canceller using the Least Mean Square (LMS) algorithm. The hardware architecture is synthesized using the Xilinx Sp...
Tian Lan, Jinlin Zhang
ICASSP
2011
IEEE
12 years 10 months ago
Recovery of sparse perturbations in Least Squares problems
We show that the exact recovery of sparse perturbations on the coefficient matrix in overdetermined Least Squares problems is possible for a large class of perturbation structure...
Mert Pilanci, Orhan Arikan
SIAMJO
2010
137views more  SIAMJO 2010»
13 years 5 months ago
Global Convergence of a New Hybrid Gauss--Newton Structured BFGS Method for Nonlinear Least Squares Problems
In this paper, we propose a hybrid Gauss-Newton structured BFGS method with a new update formula and a new switch criterion for the iterative matrix to solve nonlinear least square...
Weijun Zhou, Xiaojun Chen
SCIA
2009
Springer
183views Image Analysis» more  SCIA 2009»
14 years 1 months ago
Globally Optimal Least Squares Solutions for Quasiconvex 1D Vision Problems
Abstract. Solutions to non-linear least squares problems play an essential role in structure and motion problems in computer vision. The predominant approach for solving these prob...
Carl Olsson, Martin Byröd, Fredrik Kahl
SADM
2008
178views more  SADM 2008»
13 years 6 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon