Signal processing function

By incorporating on-chip electronics or using external analyzers with advanced control and signal processing functions, the lab-on-a-chip or yuTAS can act as smart sensors ,... 

Because in digital signal processing functions are represented as arrays of numbers over discrete variables (cf. eqn 4.4.10), the linear operations of transformation (cf. e.g. 

The potential of the combination of a signal processing function (active function) using NLO polymers with a signal transmission function (passive function) of transparent... 

In general the premultiplexing function of the CID readout is very attractive in that it physically separates the detection and signal processing functions and allows a preamplifier to be introduced before input to the CCD. With the CID, the signal processing function has no chip area constraint and noise problems associated with direct injection are avoided. However the CID approach requires more preamplifier gain and power dissipation than those approaches which introduce TDI before preamplification. 

Introduction Underwater Propagation Underwater Sound Systems Components and Processes Signal Processing Functions Advanced Signal Processing Application... 

Signal processing functions can further be divided into matched filtering approximation and information extraction. The radar signal processor first attempts to maximize S/N subject to both unintentional and intentional mismatch terms. Unintentional mismatch is due to ohmic and nonohmic losses imposed by the hardware and software constraints. Pulse compression consists of pulse-level matched filtering, whereas Doppler filtering approximates a matched filter to a coherent sequence of pulses. 

As will be evident in the foUowing subsections, a number of radar signal processing functions are implemented via the fast fourier, transform. The FFT is a computationally efficient implementation of a discrete Fourier transform. A number of high-throughput digital engines possess optimized hardware/software to perform FFTs. 

Loss Ohmic loss in S/N is due to signal dissipation across a resistive load imposed by a component, whereas while nonohmic loss is due to impedance mismatch so that the reflectance coefficient between adjacent components is greater than 0. In a radar system, loss can also occur as a less-than-ideal gain in the signal processing function. 

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