A novel o -line procedure for IIR system identiΓΏcation problems has been recently proposed and analysed under the assumption of a white input signal. The method happens to have a single, unbiased stationary point under this condition. This approach is based in interpolation theory and tries to overc
An adaptive filter for dynamic positioning
β Scribed by V. G. Gourishankar; L. Trybus; R. E. Rink
- Publisher
- John Wiley and Sons
- Year
- 1986
- Tongue
- English
- Weight
- 799 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0143-2087
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract Motion during MRI examinations is a serious problem that degrades the quality of the data (images) acquired. Motion can be corrected during the postprocessing of the data; however, this approach is suboptimal and is typically limited to inβplane or translational motion. An apparatus for
A new adaptive state estimation algorithm, namely adaptive fading Kalman filter (AFKF), is proposed to solve the divergence problem of Kalman filter. A criterion function is constructed to measure the optimality of Kalman filter. The forgetting factor in AFKF is adaptively adjusted by minimizing the
A novel adaptive filter is proposed that adapts to the sample spacing as well IIS to the tap weights. Although in adaptive digital procesSing, the tappeddelay line usualIy has uniformly spaced taps, with the spacing equal to symbol period or a fraction of symbol period, an adaptive filter with a few