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Feature extraction using frequency spectrum and time domain analysis of vibration signals to monitoring advanced ceramic in grinding process
(Inst Engineering Technology-iet, 2019-01-01)
New alternatives for monitoring the ceramic grinding process have been studied. Monitoring vibration signals is one of the most successful methods because some characteristics that describe the behaviour and influence of ...
The Haar Wavelet Transform in IoT Digital Audio Signal Processing
(2022-01-01)
Digital signal processing allows a wide range of digital applications, including audio processing. Discrete wavelet transform (DWT) is one of the most efficient ways of time–frequency analysis of an audio signal. The ...
Brain computer interface to answer yes-no questions
(Institute of Electrical and Electronics Engineers Inc., 2017-08)
The aim of this work is to design, implement and validate a primary communication system based on a brain-computer interface. There are people who-for various reasons-are affected in their ability to externalize their ...
Electromiographic Signal Processing Using Embedded Artificial Intelligence: An Adaptive Filtering Approach
In recent times, Artificial Intelligence (AI) has become ubiquitous in technological fields, mainly due to its ability to perform computations in distributed systems or the cloud. Nevertheless, for some applications -as ...
Tool condition monitoring of single-point dressing operation by digital signal processing of AE and AI
(Elsevier B.V., 2018-01-01)
This work aims at determining the right moment to stop single-point dressing the grinding wheel in order to optimize the grinding process as a whole. Acoustic emission signals and signal processing tools are used as primary ...
Signal processing and control system for the Antarctic peruvian MST radar
(1994)
This paper describes a signal processing and control system, designed and built in collaboration between Jicamarca Radar Observatory and University of Piura, Peru, for the peruvian MST radar installed in the "Machu-Picchu" ...
Localized nuclear and perinuclear Ca2+ signals in intact mouse skeletal muscle fibers
(Frontiers Media, 2015)
Nuclear Ca2+ is important for the regulation of several nuclear processes such as gene expression. Localized Ca2+ signals (LCSs) in skeletal muscle fibers of mice have been mainly studied as Ca2+ release events from the ...
All-optical Spectral Shuffling Applied to 16-QAM Signals
(Ieee, 2019-01-01)
All-optical spectral shuffling (AOSS) is a recently proposed physical layer encryption technique. In AOSS, multiple input signals are split in several spectral slices. These slices are then shuffled to form multiple encrypted ...
All-optical Spectral Shuffling Applied to 16-QAM Signals
(2019-10-01)
All-optical spectral shuffling (AOSS) is a recently proposed physical layer encryption technique. In AOSS, multiple input signals are split in several spectral slices. These slices are then shuffled to form multiple encrypted ...