By Stergios Stergiopoulos
Advances in electronic sign processing algorithms and desktop know-how have mixed to supply real-time structures with features a long way past these of simply few years in the past. Nonlinear, adaptive equipment for sign processing have emerged to supply larger array achieve functionality, although, they lack the robustness of traditional algorithms. The problem is still to advance an idea that exploits some great benefits of both-a scheme that integrates those tools in functional, real-time systems.The complicated sign Processing guide is helping you meet that problem. past delivering a good advent to the foundations and purposes of complicated sign processing, it develops a widely used processing constitution that takes benefit of the similarities that exist between radar, sonar, and clinical imaging platforms and integrates traditional and nonlinear processing schemes.
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Additional resources for Advanced signal processing handbook: theory and implementation for radar, sonar, and medical imaging real-time systems
The use of computer simulation provides a good first step in undertaking a detailed investigation of these issues. We may begin by using the LMS algorithm as an adaptive filtering tool for the study. The LMS algorithm is relatively simple to implement. Yet it is powerful enough to evaluate the practical benefits that may result from the application of adaptivity to the problem at hand. Moreover, it provides a practical frame of reference for assessing any further improvement that may be attained through the use of more sophisticated adaptive filtering algorithms.
2 assume the use of complex signals. The adaptive filtering algorithm so described is said to be in complex form. The important virtue of complex adaptive filters is that they preserve the mathematical formulation and elegant structure of complex signals encountered in the aforementioned areas of application. If the signals to be processed are real, we naturally use the real form of the adaptive filtering algorithm of interest. Given the complex form of an adaptive filtering algorithm, it is straightforward to deduce the corresponding real form of the algorithm.
3. To illustrate the concept of an engineering database, we will consider the land mine identification process, which is a highly essential functionality in humanitarian demining systems to minimize the false alarm rate. Although a lot of information on land mines exists, often organized in electronic databases, there is nothing like a CAD engineering database. Indeed, most databases serve either documentation purposes or are land mine signatures related to a particular sensor technology. This wealth of information must be collected and organized in such a way so that it can be used online, through the necessary interfaces to the sensorial information, by each one of the future identification systems.
Advanced signal processing handbook: theory and implementation for radar, sonar, and medical imaging real-time systems by Stergios Stergiopoulos