By Stergios Stergiopoulos
Advances in electronic sign processing algorithms and desktop know-how have mixed to supply real-time platforms with features a long way past these of simply few years in the past. Nonlinear, adaptive tools for sign processing have emerged to supply higher array achieve functionality, despite the fact that, they lack the robustness of traditional algorithms. The problem is still to enhance an idea that exploits some great benefits of both-a scheme that integrates those tools in functional, real-time systems.
The complex sign Processing instruction manual is helping you meet that problem. past delivering an excellent creation to the foundations and functions of complicated sign processing, it develops a well-known processing constitution that takes good thing about the similarities that exist between radar, sonar, and scientific imaging platforms and integrates traditional and nonlinear processing schemes.
Read or Download Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real Time Systems (Electrical Engineering & Applied Signal Processing Series) PDF
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Additional info for Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real Time Systems (Electrical Engineering & Applied Signal Processing Series)
The function of the boundary cell is to produce an output equal to the input u divided by the number r stored in the cell. The function of the internal cell is twofold: (1) to multiply the input z (coming in from the top) by the number r stored in the cell, subtract the product rz from the second input (coming in from the left), and thereby produce the difference u – rz as an output from the right-hand side of the cell; and (2) to transmit the first z downward without alteration. 3 r Input u r y Output z Output (a) (b) Output u - rz Two basic cells of a systolic array: (a) boundary cell and (b) internal cell.
These factors, in their own ways, also enter into the design of nonlinear adaptive filters, except for the fact that we now no longer have a well-defined frame of reference in the form of a Wiener filter. Rather, we speak of a nonlinear filtering algorithm that may converge to a local minimum or, hopefully, a global minimum on the error-performance surface. In the sections that follow, we shall first discuss various aspects of linear adaptive filters. 6. 3 Linear Filter Structures The operation of a linear adaptive filtering algorithm involves two basic processes: (1) a filtering process designed to produce an output in response to a sequence of input data, and (2) an adaptive process, the purpose of which is to provide mechanism for the adaptive control of an adjustable set of parameters used in the filtering process.
The underlying idea is, using techniques of cognitive and perceptual sciences, to extract the particular features that characterize a particular mine or a class of mines and, successively, to define the sensorial information needed to detect these features in typical environments. Such a land mine identification system would not only trigger an alarm for every suspect object, but would also reconstruct a comprehensive model of the target. Successively, it would compare the model to an existing land mine engineering database deciding or assisting the operator to make a decision as to the nature of the detected object.