Adaptive recursive filters are often implemented using direct-form realizations. In this l ;. thesis, adaptive algorithms are presented for state-space systems so that the performance of various filter structures may be investigated. Through the use of simulations, it was found that much faster adaptation rates and much improved round-off noise performance may be obtained using structures other...

The program ”Filtering and Identification Tool” designed for MATLAB provides an easy to handle tool for linear system identification of continuous time domain systems. But also discrete time models may be identified. The only property the process model must fulfill is that it has to be linear in the parameters. A graphical user interface guides the research engineer through all steps. As most o...

120  ABSTRACT One of the main problem in biomedical data processing like electrocardiography is the separation of the wanted signal from noises caused by power line interference, external electromagnetic fields, random body movements and respiration. Different types of digital filters are used to remove signal components from unwanted frequency ranges. It is difficult to apply filters with fix...

Based on symmetry of the maximally flat frequency response of a FIR notch filter the new design procedure is developed. The closed form solution provides direct computation of the frequency response, recursive computation of the impulse response coefficients, simple windowing technique, and an access to new implementation. Several examples are included. INTRODUCTION In order to remove a single ...

The recursive median filter is used to improve the structure of the output of the key finding algorithm for establishing tonal contexts of musical patterns in a musical composition. This is subsequently incorporated into a system for recognition of musical patterns. Krumhansl’s key-finding algorithm is used as a basis. The sequence of maximum correlations that it outputs is smoothed with a cubi...

The Kalman filter is a recursive Best Linear Unbiased Estimator (BLUE) for a linear dynamic system with uncorrelated white process and measurement noises. It has been extended to the case where the noises are Markov and/or crosscorrelated for the same time instant. This paper presents optimal batch and semi-recursive filters and a suboptimal recursive filter for a linear discrete-time system wi...

Recursive filtering structures reduce drastically the computational effort required for different tasks in image processing. These operations are done with a fixed number of operations per output point independently of the size of the neighbourhood considered. In this paper we show that implicit numerical implementations of some partial differential equations (PDE’s) provide algorithms that can...

Biomechanical studies of movement kinematics and kinetics often involve the measurement of analog quantities through discrete sampling of the signal at some regular interval. The digital data which result can, in most cases, adequately represent the original signal, providing the sampling frequency is high enough to respond to the high frequency components of that signal (Winter, 1979, p. 28). ...

The time varying human multijoint arm dynamics can be modeled by two factors, simplified musculoskeletal dynamics and the uncertainty factor consisting of measurement noises and modeling error of a rigid body dynamics. In some cases, the uncertainty factor may not be Gaussian; the Kalman filter is no longer the optimal filter. In this paper, for the non-Gaussian environment, a recursive filter ...