APPLICATION OF AN AUTOMATIC NOISE OR SIGNAL REMOVAL ALGORITHM BASED ON SYNCHROSQUEEZED CONTINUOUS WAVELET TRANSFORM OF PASSIVE SURFACE WAVE IMAGING: A CASE STUDY IN SICHUAN, CHINA

Application of an Automatic Noise or Signal Removal Algorithm Based on Synchrosqueezed Continuous Wavelet Transform of Passive Surface Wave Imaging: A Case Study in Sichuan, China

Passive surface wave imaging based on noise cross-correlation has been a research hotspot in recent years.However, because randomness of noise is difficult to achieve in reality, prominent noise sources will inevitably affect the dispersion measurement.Additionally, in order to recover high-fidelity surface waves, the time series input during cross

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An exploratory study of an undefined acquired neuromotor speech disorder within the context of the four level framework for speech sensorimotor control

In this study, the speech of a 28-year-old male with acquired brain injury and who presents with an undefined neuromotor speech disorder which cannot be categorised as either ASANA SMOOTHIE CUBES apraxia of speech or dysarthria, is described.Voice onset time, vowel duration, utterance duration and vowel formant analyses were done acoustically.A per

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