Title :
On redefining the optimal least squares filter under floating point operations
Author_Institution :
Georgia Institute of Technology, Atlanta, Georgia
Abstract :
A novel solution on approximation to the least squares filter problem under floating point arithmetic is presented for a linear stochastic model.
Keywords :
Additive noise; Distributed computing; Error correction; Filtering; Floating-point arithmetic; Least squares approximation; Least squares methods; Mathematics; Nonlinear filters; Partial differential equations;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/ICASSP.1984.1172597
