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We describe a framework based on Wirtinger calculus for adaptive signal processing that enables efficient derivation of algorithms by directly working in the complex domain and taking full advantage of the power of complex-domain nonlinear processing.
The first two stages employ nonlinear processing inspired by the biophysical mechanism of shunting inhibition, which plays an important role in many visual functions [14, 15], and has been adopted in machine learning [16 18] and image processing [19, 20].
The low dark gain reflects a nonlinear processing step that is engaged in the dark but relieved for backgrounds producing 0.005 0.01 R*/rod/s; this nonlinearity and its impact on visual sensitivity is the subject of another study (P Ala-Laurila and F Rieke, unpublished).
Moreover, additional nonlinear processing by static nonlinearities (here interpreted as the transduction process involving the tympanal membrane, but on a wider scope also reflecting properties of synaptic transmission) may foster temperature compensation, if well matched with the temperature dependence of spike generation.
Thus, we discuss appropriate nonlinear processing for generating a virtual microphone signal.
This technique takes advantage of an original nonlinear processing of the voltage generated by piezoelements.
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This fact makes it possible to analyze the amount of musical noise arising through nonlinear signal processing.
However, a serious problem exists in such methods: artificial distortion (so-called musical noise [16]) due to nonlinear signal processing.
She obtained her Ph.D. Degree in the area "Nonlinear signal processing" in the year 2009 from Anna University, Chennai, India.
We show how nonlinear signal processing techniques can be used for extracting simple dynamic models from complex experimental time series.
It is assumed that u[n] is zero mean with covariance matrix denoted by C u. Figure 2 MIMO linear transmit processing and nonlinear receive processing (DF) with Tx-noise.
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