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The use of the up and down chirp signals to reduce the cross-correlation has already been proposed [5].
We firstly pre-process the data using histogram method to find the zonal area that contains all the possible signals to reduce large amount of noise.
In the following section, we propose the RNS-based parallel transmission scheme, which limits the dynamic range of transmitted signals to reduce the PAPR of the system.
The optimization of the OFDM signals to reduce the range ambiguity is developed in Section 4 with the genetic algorithm based on the image quality parameters.
Power consumption reduction methods (clock gating, switching activity reduction) are used according to the statistics of the input signals to reduce the dissipated power.
A method is described for designing ternary perturbation signals to reduce the effects of both nonlinear distortion and noise in the identification of linear systems.
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That sets off a reverse-phase audio signal to reduce the "booming sound of the exhaust".
CFR preconditions the signal to reduce signal peaks without significant signal distortion.
The first approach is related to the knocking the input signal to reduce position error.
Besides the on-board vehicle application, it also implemented for optimizing traffic signal to reduce traffic congestion.
While we use UHF signal to identify the tags through a CS procedure, we exploit a UWB signal to reduce the complexity of such UHF-CS algorithm [10].
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