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Signal transmission using electronic signal processing.^[1]
The methods of signal processing include time domain, frequency domain, and complex frequency domain.^[1]
Digital signal processing is the processing of digitized discrete-time sampled signals.^[1]
Signal Processing incorporates all aspects of the theory and practice of signal processing .^[2]
Signal Processing incorporates all aspects of the theory and practice of signal processing.^[2]
Signal processing is at the heart of our modern world, powering today’s entertainment and tomorrow’s technology.^[3]
Speech recognition is a vital application of signal processing; it’s also likely the easiest to understand.^[3]
Signal processing is involved in picking up sounds in the environment, and processing them to enhance and amplify what the wearer hears.^[3]
Like signal processing, data science touches our daily lives in more ways than we think.^[3]
The notion of “signal processing” might seem like something impenetrably complex, even to scientists.^[4]
Interacting with each of these fields, yet irreducible to any of them, signal processing is by nature an interface discipline.^[4]
Even beforehand, around World War II, signal processing began to develop, mostly for military purposes related to sonar and radar.^[4]
In astronomy and astrophysics, one can cite two recent examples in which signal processing proved instrumental.^[4]
Over time, the Lectures will provide a comprehensive treatment of signal processing.^[5]