Damian Grzechca

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This paper discusses the basic concept of analog recognition techniques), have been known for almost 20 functional test approach. Recently, most on going research has years, however their practical utilization is of no great been focused on distinguishing faulty or healthy circuit-from importance [1]. Limitation to catastrophic faults and fault the(More)
This paper is focused on the diagnosis of analog and mixed electronic circuit in frequency domain. A multi tone signal excites a circuit under test in order to detect and locate a single fault. The input signal consists of a number of frequencies which are selected by Principal Component Analysis (PCA) algorithm. An exemplary circuit has been examined and(More)
—The new approach to edge detection is presented in this paper. The proposed method uses genetic programming (GP) to search for digital transfer function of image edge detector. The found function can be easily implemented to any programmable logic device (PLD) that allows to build a fast system of image processing. I. INTRODUCTION Local discontinuities in(More)
This paper presents method of deriving optimal excitation signal maximizing probability of successful fault diagnosis. The approach uses evolutionary algorithm and wavelet analysis. The diagnosis procedure is conducted by means of specialized aperiodic excitation. Results are compared with fault diagnosis using unit step excitation. The method belongs to(More)
This paper presents an analysis of an influence of with Simulation Before Test method. The diagnosis system global parametric faults (GPF) on analogue integrated circuits may be applied on a prototype stage of AIC production. (AIC) time domain (TD) response features, such as overshoot, Global parametric faults, in presented research, have been delay time,(More)
This paper presents a new concept to analog fault diagnosis. Problem of distinguishing between healthy or faulty analog circuit has always been very complicated. The most common approach based on pattern recognition, especially on mean square error measure, can not distinguish all faulty circuits from the healthy one. Normally, the dictionary has to include(More)
The paper presents a methodology for parametric fault clustering in analog electronic circuits with the use of a self-organizing artificial neural network. The method proposed here allows fast and efficient circuit diagnosis on the basis of time and/or frequency response which may lead to higher production yield. A self-organizing map (SOM) has been applied(More)
There is an increasing demand for indoor localization and tracking objects with high accuracy. The GPS system is not efficient for positioning in such areas. Rising number of smartphones allow for their utilization in indoor positioning system. RSSI (Radio Signal Strength Index) is commonly applied but it is limited to pattern matching methods. A map called(More)