Different methods to design digital filters aimed for equalization of loudspeaker/room responses are considered. Design of inverse filters is based on measured loudspeaker/room impulse responses combined with roomand psychoacoustic knowledge. Frequency dependent smoothing and nonlinear equalization effort is applied, and a new iterative method based on both timeand frequency domain criteria is ...

Nonrecursive digital filters are popular because they are inherently stable, unlike their recursive counterparts, and have been shown to be effective in a wide variety of situations. For example, Astola and Kuosmanen describe 20 different classes of nonrecursive filters [2], many of which are included in the general class of nonlinear smoothing filters considered by Mallows [11]. This paper def...

Introduction A number of attempts have been made to reduce artifacts and noise from ECG signals and various types of analog and digital filters, both linear and non-linear, have been implemented to reduce interferences from ECG signals. Several adaptive filtering techniques have also been implemented. Other methods include averaging and neural networks. However, many of these methods are only p...

Every day, machines process many thousands of hours of audio signals through a realistic cochlear model. They extract features, inform classifiers and recommenders, and identify copyrighted material. The machine-hearing approach to such tasks has taken root in recent years, because hearingbased approaches perform better than we can do with more conventional sound-analysis approaches. We use a b...

We derive a nonlinear filter and the corresponding filter-based estimates for a threshold autoregressive stochastic volatility, (TARSV), model. Using the technique of a reference probability measure, we derive a nonlinear filter for the hidden volatility and related quantities. The filter-based estimates for the unknown parameters are then obtained from the EM algorithm.

This Paper describes a simple computer-aided design approach for designing Infinite impulse response (IIR) digital filters. IIR filter is essentially a digital filter which depends not only upon the Input data but also upon one or more previous output values. A variety of techniques are available for the designing of IIR Filters. This Paper is based only upon Analog to digital mapping technique...

This paper investigates a method for the state estimation of nonlinear systems described by a class of differentialalgebraic equation (DAE) models using the extended Kalman filter. The method involves the use of a transformation from a DAE to ordinary differential equation (ODE). A relevant dynamic power systems model using decoupled techniques will be proposed. The estimation technique consist...

Quantization watermarking is a method of embedding hidden copyright information based on dithered quantization. Such a scheme is only practical for watermarking applications, where the original signal is available to the detector as for a fingerprinting purpose. The aim of this paper is to analyze the quantization watermarking in the wavelet transform or equivalently in filter bank domain. We i...

This paper considers the problem of designing nonlinear FIR filters from a bottom-up approach, in which simple components with known characteristics are combined into more complex filter structures. The specific approach considered here is based on the concept of a clone from universal algebra, generalizing the FIR-median hybrid (FMH) filter construction. Results presented here illustrate the f...

Bangladeshi vehicle digital license plate recognition system using support vector machine for metropolitan cities (i.e. Dhaka, Chittagong) is presented in this paper. The proposed system divided into three major partslicense plate detection, plate character segmentation and character recognition. Experiments have been done for this proposed framework. More than 1000 images taken from various sc...