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Discover LudwigThe phrase "advanced signal processing" is correct and usable in written English.
It can be used in contexts related to technology, telecommunications, or data analysis, particularly when discussing sophisticated techniques for analyzing signals.
Example: "The research paper focuses on advanced signal processing techniques to improve the accuracy of data transmission in wireless networks."
Alternatives: "sophisticated signal analysis" or "high-level signal processing".
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Advanced signal processing methods for biomedical imaging.
Advanced signal processing techniques are widely used to detect damage in structures.
It seems very promising for design of some devices for advanced signal processing.
Recent studies attempted to use advanced signal processing techniques, such as subarray analysis and graph clustering, to detect and locate sources within dense large-N arrays21,22.
To define the neural networks responsible of an epileptic seizure, it is useful to perform advanced signal processing techniques.
While detecting defective bearing is relatively straightforward, discovering the source of defect requires advanced signal processing techniques.
Vibration signals have been analysed by means of advanced signal processing techniques taking advantage of cyclostationarity theory.
Empirical mode decomposition (EMD) is an advanced signal processing technology that has been widely used for this purpose.
The combination of the system under test with the instrumentation sensors yields insight into the performance of sensor systems and advanced signal processing algorithms.
An effective bearing faults detection algorism is developed by employing several advanced signal processing techniques, including Cepstrum whitening, minimum entropy deconvolution (MED), spectral kurtosis (SK) and envelope analysis.
Advanced signal processing techniques such as discrete wavelet transform (DWT) and a corrected multiresolution Fourier transform (MFT) are applied to investigate the vibration and current transients.
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