Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Engineering
Adaptive Channel Equalization Techniques, Saied Razavilar
Adaptive Channel Equalization Techniques, Saied Razavilar
Masters Theses
Inter Symbol Interference (ISI) is a characteristic of band-limited communication channels that can severely degrade the digital communication system performance if not treated properly. Channel equalization techniques may be used to mitigate the effects of ISI in the system, thereby improving the system capacity and performance. In this thesis, the problem of Inter Symbol Interference caused by the nonlinear characteristics of band limited communication channels and adaptive equalization techniques to combat the effects of ISI are discussed. First, the analysis of ISI in a band limited communication channel using a concrete theoretical framework is presented. Next, various adaptive equalization techniques …
Fitness Landscape Analysis Of Discrete Constrained Optimization Problems, Sai Prasanna Ravichandran
Fitness Landscape Analysis Of Discrete Constrained Optimization Problems, Sai Prasanna Ravichandran
Masters Theses
The exponentially large size of the solution space of typical optimization problems precludes the use of any deterministic approach to search for an optimal solution. A more efficient and efficacious approach is to use heuristic algorithms based on rules of thumb to guide the search process in the solution space. Associated with every solution in the space is a real number called fitness that signifies the quality of a solution. This space and the fitness values together form the fitness landscapes. Knowledge about the topology of these fitness landscapes is vital for any heuristic search operator to expedite the search …
Image Processing Based On A Fuzzy Logic Edge Detection Algorithm, Jamshid Khazaai
Image Processing Based On A Fuzzy Logic Edge Detection Algorithm, Jamshid Khazaai
Masters Theses
One of the major problems in image processing is that of efficient edge detection. This is because the automated determination of an edge requires a subjective interpretation of just what the image author intended to be an edge. By training an edge determination algorithm to be sensitive to edges in a consistent manner, efficiency can be improved. This is the central idea of this thesis in which I define edge occurrences for the intensity (monochrome) images using fuzzy sets.
Edge characteristic functions are proposed for detecting edge pixels within a desired block of an (intensity and binary) image based on …
Simulation Of The Hybrid Fuzzy-Boolean Finite State Machine (Hfb-Fsm), Hamed Shakouri
Simulation Of The Hybrid Fuzzy-Boolean Finite State Machine (Hfb-Fsm), Hamed Shakouri
Masters Theses
Several models of fuzzy finite-state automata have been proposed in the literature. One model which benefits from the existing algorithms for designing Boolean finite-state machines, has been proposed by J. L. Grantner [8]. This model, which is called Hybrid Fuzzy-Boolean Finite State Machine (HFB-FSM), along with its algorithmic design procedure, can be used for implementing dynamic linguistic systems [7,8,13]. In this thesis we have developed a simulation program for the HFB-FSM model using C++ programming language. In order to simulate a HFB-FSM model, the user provides the information defining the system's behavior. Based on the algorithm proposed in [8], the …