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MOC
2000
105views more  MOC 2000»
13 years 7 months ago
On the iteratively regularized Gauss-Newton method for solving nonlinear ill-posed problems
The iteratively regularized Gauss-Newton method is applied to compute the stable solutions to nonlinear ill-posed problems F (x) = y when the data y is given approximately by y wit...
Jin Qi-nian
SPLC
2008
13 years 8 months ago
Filtered Cartesian Flattening: An Approximation Technique for Optimally Selecting Features while Adhering to Resource Constraint
Software Product-lines (SPLs) use modular software components that can be reconfigured into different variants for different requirements sets. Feature modeling is a common method...
Jules White, B. Doughtery, Douglas C. Schmidt
VLSISP
2008
100views more  VLSISP 2008»
13 years 7 months ago
Memory-constrained Block Processing for DSP Software Optimization
Digital signal processing (DSP) applications involve processing long streams of input data. It is important to take into account this form of processing when implementing embedded ...
Ming-Yung Ko, Chung-Ching Shen, Shuvra S. Bhattach...
ADHOC
2008
134views more  ADHOC 2008»
13 years 7 months ago
Data aggregated maximum lifetime routing for wireless sensor networks
In this paper, we present a data aggregated maximum lifetime routing scheme for wireless sensor networks. We address the problem of jointly optimizing data aggregation and routing...
Cunqing Hua, Tak-Shing Peter Yum
ICNSC
2008
IEEE
14 years 1 months ago
Robust Variance Constrained Filter Design for Systems with Non-Gaussian Noises
In this paper, a variance constrained filtering problem is considered for systems with both non-Gaussian noises and polytopic uncertainty. A novel filter is developed to estimate t...
Fuwen Yang, Yongmin Li, Xiaohui Liu