In this paper, we propose a generalized fuzzy inference system (GFIS) in noise image processing. The GFIS is a multi-layer neuro-fuzzy structure which combines both Mamdani model and TS fuzzy model to form a hybrid fuzzy system. The GFIS can not only preserve the interpretability property of the Mamdani model but also keep the robust local stability criteria of the TS model. Simulation results ...

A hybrid dereverberation method for speech enhancement in a situation requiring adaptation where a speaker shifts his head and impulse responses are frequently changed under reverberant conditions is presented. We combine MINT-based blind deconvolution with modified spectral subtraction of the estimation error of inverse filters obtained in practice. Our method computes inverse filters by estim...

Planetary rovers provide a considerable challenge for artificial intelligence in that they must operate for long periods autonomously, or with relatively little intervention. To achieve this, they need to have on-board fault detection and diagnosis capabilities. Traditional model-based diagnosis techniques are not suitable for rovers due to the tight coupling between the vehicle’s performance a...

We discuss filtering procedures for robust extraction of a signal from noisy time series. Moving averages and running medians are standard methods for this, but they have shortcomings when large spikes (outliers) respectively trends occur. Modified trimmed means and linear median hybrid filters combine advantages of both approaches, but they do not completely overcome the difficulties. Improvem...

In the present paper, a new design method for continuous-time powersymmetric active RC filters for Hybrid Filter Bank (HFB) is proposed. Some theoretical properties of continious-time power-symmetric filters bank in a more general perspective are studied. This includes the derivation of a new general analytical form, and a study of poles and zeros locations in s-plane. In the proposed design me...

The notion of absorbent ordered filters in implicative semigroupsis introduced, and its fuzzification is considered. Relations among (fuzzy) orderedfilters, (fuzzy) absorbent ordered filters, and (fuzzy) positive implicativeordered filters are stated. The extensionproperty for (fuzzy) absorbent orderedfilters is established. Conditions for (fuzzy) ordered filters to be (fuzzy)absorbent ordered ...

In this paper, a hybrid scheme is proposed for the implementation of two level 2D-DWT using lifting scheme. Two filter banks consisting of two filters each are used for the implementation of both horizontal and vertical filters. Each of the filter banks are implemented using the lifting scheme. The individual lifting blocks are implemented using wavepipelining and are interconnected with regist...

This thesis is concerned with the design of multiplier-less (ML) finite impulse response (FIR) digital filters. The use of multiplier-less digital filters results in simplified filtering structures, better throughput rates and higher speed. These characteristics are very desirable in many DSP systems. This thesis concentrates on the design of digital filters with power-of-two coefficients that ...

This paper presents a new distributed monitoring approach for nonlinear, non-Gaussian hybrid systems incorporating multiple sensors in an embedded network configuration. The estimation engine of the proposed approach is particle filter (PF) which estimates locally the mode and continuous state of hybrid system at each sensor location or node. Decision on the mode of the system is established lo...

Image denoising is the manipulation of the image data to produce a visually high quality image. At present there are a variety of methods to remove noise from digital images. There are different types of filters like mean filter, median filter, bilateral filter, wiener filter etc. to remove a single type of noise such as salt and pepper noise, speckle noise, Gaussian noise etc. But if the image...