Source localization using block-based Wiener filter
نویسندگان
چکیده
منابع مشابه
Vibroacoustic source separation using an improved cyclic Wiener filter
Noise radiated by rotating and reciprocating machines is often a mixture of multiple complex sources, the successful reduction of which is a field of intensive research. In this paper an advanced source separation approach is presented, based on cyclic Wiener filtering, which takes into account the cyclostationarity property of the signals. The aim of the Wiener filter is the separation of nois...
متن کاملAcoustic Source Localization Based on Iterative Unscented Particle Filter
To solve the problem of tracking an acoustic source in noise and reverberation environment, a new method is proposed in pursuit of higher accuracy. First, this paper improves the unscented particle filter, which can add the latest measurement information to optimize the proposal distribution. Then, the likelihood function is constructed by calculating the microphone arrays’ output energy in the...
متن کاملWiener filter design using polynomial equations
A simpliied way of deriving of realizable and explicit Wiener lters is presented. Discrete time problems are discussed, in a polynomial equation framework. Optimal lters, predictors and smoothers are calculated by means of spectral factorizations and linear polynomial equations. A new tool for obtaining these equations, for a given problem structure, is described. It is based on evaluation of o...
متن کاملEfficient block-based video encoder embedding a Wiener filter for noisy video sequences
Since pre-filtering removes camera noise and improves coding efficiency dramatically, its efficient implementation has been an important issue in video sequence coding. Based on the approximated generalized Wiener filtering and two-dimensional discrete cosine transform (DCT) factorization, this paper introduces a novel pre-filtering scheme that is performed inside a video encoder. The proposed ...
متن کاملGas source localization with a micro-drone using bio-inspired and particle filter-based algorithms
Gas source localization (GSL) with mobile robots is a challenging task due to the unpredictable nature of gas dispersion, the limitations of the currents sensing technologies, and the mobility constraints of ground-based robots. This work proposes an integral solution for the GSL task, including source declaration. We present a novel pseudo-gradient-based plume tracking algorithm and a particle...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Electronics Express
سال: 2010
ISSN: 1349-2543
DOI: 10.1587/elex.7.678