Sentence examples for different signal processing from inspiring English sources

Exact(26)

The S/N ratio can be improved by different signal processing methods including optimal filtering.

Selection of fidelity criteria or quantitative performance measure is an important first step, in engineering applications, for comparing different signal processing methods and optimizing signal processing algorithms.

This work investigates different signal processing strategies for a force sensor mounted on the end-effector of a biaxial gantry robot.

Researchers have used different signal processing methods, such as continuous wavelet transform (CWT), to filter out the unwanted part of the received signals.

The designed novel algorithm is for the synthesis of high speed digital filters for different signal processing applications based on nature inspired evolutionary computation method.

Surface vibration of internal combustion engine containing abundant combustion information could be analyzed using different signal processing methods, in which frequency-domain analysis is one of the common methods.

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In this paper, the performances of different signal-processing algorithms are discussed in an effort to define an optimized methodological approach for evaluating the reduction potential of mitigation techniques.

Experimental results show that the proposed scheme is robust to different signal-processing and geometric transformation attacks, and also outperforms a related scheme in the literature with respect to the retrieval rate of the embedded watermark.

Our findings seem to stand in contrast to several studies that show a relationship between cognitive performance and listening performance with, or a relative benefit from, different signal-processing strategies in HAs.

A signal flow graph with different types of signal processing units.

There are deep connections to clusteringespecially to the statistical mechanics formulation in which separate clusters emerge through a series of phase transitionsand many different problems from signal processing to learning can be cast into this unified information theoretic framework.

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