Analysis and optimization of the computational process of nonlinear discrete Kalman filtering

摘要

Optimization of nonlinear discrete Kalman filtering computational process is considered in application to dynamic processing of interferometric signals in Optical Coherence Tomography. Processing speed of low-coherence fringe signals is assessed when using discrete nonlinear Kalman filtering algorithm implemented by Intel Pentium 4 processor.