The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam makalah ini, penapis kemungkinan maksimum baharu dengan struktur tindak balas impuls terhingga (FIR) dicadangkan untuk model isyarat ruang keadaan dengan bunyi sistem dan pemerhatian. Penapis ini dipanggil penapis FIR (MLF) kemungkinan maksimum. Penapis MLF yang dicadangkan tidak memerlukan a priori maklumat keadaan awal tetingkap dan memproses pemerhatian terhingga pada tetingkap terkini secara linear. Penapis MLF yang dicadangkan mula-mula diwakili dalam bentuk kelompok, dan kemudian dalam bentuk berulang untuk kelebihan pengiraan. Penapis MLF yang dicadangkan mempunyai sifat bawaan yang baik seperti invarian masa, tidak berat sebelah, rentak mati, kekukuhan. Kesahihan penapis MLF yang dicadangkan digambarkan oleh simulasi komputer pada isyarat sinusoidal.
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Salinan
PyungSoo KIM, "Maximum Likelihood FIR Filter for State Space Signal Models" in IEICE TRANSACTIONS on Communications,
vol. E85-B, no. 8, pp. 1604-1607, August 2002, doi: .
Abstract: In this paper, a new maximum likelihood filter with finite impulse response (FIR) structures is proposed for state space signal models with both system and observation noises. This filter is called the maximum likelihood FIR (MLF) filter. The proposed MLF filter doesn't require a priori information of the window initial state and processes the finite observations on the most recent window linearly. The proposed MLF filter is first represented in a batch form, and then in an iterative form for computational advantage. The proposed MLF filter has good inherent properties such as time-invariance, unbiasedness, deadbeat, robustness. The validity of the proposed MLF filter is illustrated by a computer simulation on a sinusoidal signal.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e85-b_8_1604/_p
Salinan
@ARTICLE{e85-b_8_1604,
author={PyungSoo KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Maximum Likelihood FIR Filter for State Space Signal Models},
year={2002},
volume={E85-B},
number={8},
pages={1604-1607},
abstract={In this paper, a new maximum likelihood filter with finite impulse response (FIR) structures is proposed for state space signal models with both system and observation noises. This filter is called the maximum likelihood FIR (MLF) filter. The proposed MLF filter doesn't require a priori information of the window initial state and processes the finite observations on the most recent window linearly. The proposed MLF filter is first represented in a batch form, and then in an iterative form for computational advantage. The proposed MLF filter has good inherent properties such as time-invariance, unbiasedness, deadbeat, robustness. The validity of the proposed MLF filter is illustrated by a computer simulation on a sinusoidal signal.},
keywords={},
doi={},
ISSN={},
month={August},}
Salinan
TY - JOUR
TI - Maximum Likelihood FIR Filter for State Space Signal Models
T2 - IEICE TRANSACTIONS on Communications
SP - 1604
EP - 1607
AU - PyungSoo KIM
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E85-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2002
AB - In this paper, a new maximum likelihood filter with finite impulse response (FIR) structures is proposed for state space signal models with both system and observation noises. This filter is called the maximum likelihood FIR (MLF) filter. The proposed MLF filter doesn't require a priori information of the window initial state and processes the finite observations on the most recent window linearly. The proposed MLF filter is first represented in a batch form, and then in an iterative form for computational advantage. The proposed MLF filter has good inherent properties such as time-invariance, unbiasedness, deadbeat, robustness. The validity of the proposed MLF filter is illustrated by a computer simulation on a sinusoidal signal.
ER -