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Progress in object and pattern recognition is based on progress in underlying theory from imaging science, computer vision, statistical signal processing, computational learning theory, and information theory. Information theory can be used both to bound the performance achievable in recognition systems subject to complexity constraints and to motivate system design. Many recognition systems are dynamic...
Adaptive IIR filter analysis is more complicated than for the FIR case because (a) some algorithm signals are generated by the adaptive filter itself, and (b) the prediction error relates to the adapted parameters via a filtering operation. Averaging analyses of stability address the first issue by linearization about the convergence point, and the second by using passivity of the error operator....
The pupillary light reflex (PLR), which decreases the pupil size as larger amounts of light are sensed by the retina, is considered as the dominant factor in determining the pupil size. However, it has been found recently that the pupil diameter (PD), controlled by the Autonomic Nervous System (ANS), also responds to cognitive and emotional processes. In this paper, we are interested in the modeling...
Predistortion of parallel wiener-type systems is considered in this paper. The predistorter is first modeled as a Volterra series. In order to reduce computation complexity, a simplified predistorter model constructed using adaptive FIR filters is proposed. The coefficients of these two suggested predistorters are estimated using the nonlinear filtered-x least mean squares (NFtimesLMS) algorithm based...
The following topics are dealt with: speech and audio; adaptive systems; underwater communications; educational software tools; wireless channel modeling and estimation; signal processing and object recognition; sensors signal processing; signal representations; image and video processing; and compressive sensing.
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