The performance analysis of the adaptive two-stage DFB narrowband interference suppression filter in DSSS receiver
The present and future of signal processing
Trajectory planning for nonholonomic mobile robot using extended Kalman filter.
Trajectory tracking for a mobile robot with skid-slip compensation in the Vector-Field-Orientation control system
The article is devoted to a motion control problem for a differentially driven mobile robot in the task of trajectory tracking in the presence of skid-slip effects. The kinematic control concept presented in the paper is the Vector Field Orientation (VFO) feedback approach with a nonlinear feed-forward skid-slip influence compensation scheme. The VFO control law guarantees asymptotic convergence of the position tracking error to zero in spite of the disturbing influence of skid-slip phenomena. The...
Transfer-function solution of the Kalman-Bucy filtering problem
Transformée en paquets d'ondelettes des signaux stationnaires: comportement asymptotique des densités spectrales.
We consider quadrature mirror filters, and the associated wavelet packet transform. Let X = {Xn}n∈Z be a stationary signal which has a continuous spectral density f. We prove that the 2n signals obtained from X by n iterations of the transform converge to white noises when n → +∞. If f is holderian, the convergence rate is exponential.
Transputer implementation of block regularized filtering
Un nouveau principe de grandes déviations en théorie du filtrage non linéaire
Unifying approach to observer-filter design
The paper examines similarities between observer design as introduced in Automatic Control Theory and filter design as established in Signal Processing. It is shown in the paper that there are obvious connections between them in spite of different aims for their design. Therefore, it is prospective to make them be compatible from the structural point of view. Introduced error invariance and error convergence properties of both of them are unifying tools for their design. Lyapunov's stability theory,...
Unscented filtering from delayed observations with correlated noises.
Variance-Constrained finite-horizon filtering for multi-rate time-varying networked systems based on stochastic protocols
In this paper, the variance-constrained finite-horizon filtering problem is investigated for a class of time-varying nonlinear system under muti-rate communication network and stochastic protocol (SP). The stochastic protocol is employed to determine which sensor obtains access to the muti-rate communication network in order to relieve communication burden. A novel mapping technology is applied to characterize the randomly switching behavior of the data transmission resulting from the utilization...
Visual simultaneous localisation and map-building supported by structured landmarks
Visual simultaneous localisation and map-building systems which take advantage of some landmarks other than point-wise environment features are not frequently reported. In the following paper the method of using the operational map of robot surrounding, which is complemented with visible structured passive landmarks, is described. These landmarks are used to improve self-localisation accuracy of the robot camera and to reduce the size of the Kalman-filter state-vector with respect to the vector...
Wavelet transform for time-frequency representation and filtration of discrete signals
A method to analyse and filter real-valued discrete signals of finite duration s(n), n=0,1,...,N-1, where , p>0, by means of time-frequency representation is presented. This is achieved by defining an invertible discrete transform representing a signal either in the time or in the time-frequency domain, which is based on decomposition of a signal with respect to a system of basic orthonormal discrete wavelet functions. Such discrete wavelet functions are defined using the Meyer generating wavelet...
Wavelets on fractals.
We show that there are Hilbert spaces constructed from the Hausdorff measures Hs on the real line R with 0 < s < 1 which admit multiresolution wavelets. For the case of the middle-third Cantor set C ⊂ [0,1], the Hilbert space is a separable subspace of L2(R, (dx)s) where s = log3(2). While we develop the general theory of multiresolutions in fractal Hilbert spaces, the emphasis is on the case of scale 3 which covers the traditional Cantor set C.
Вариационная задача оптимизации измерений в алгоритмах идентификации и управления
О решении уравнений фильтрации условно-гауссовских процессов с постоянными коэффициентами диффузии
Об оптимальном выборе моментов наблюдения в одной задаче различения случайных процессов
Последовательные алгоритмы оптимизации
Явные формулы линейной фильтрации в случае -марковости принимаемого сигнала