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Audio signal processing is a subfield of signal processing that is concerned with the electronic manipulation of audio signals. Audio signals are electronic representations of sound waves — longitudinal waves which travel through air, consisting of compressions and rarefactions.
Seismic signal processing. Audio signal processing – for electrical signals representing sound, such as speech or music [12] Image processing – in digital cameras, computers and various imaging systems; Video processing – for interpreting moving pictures; Wireless communication – waveform generations, demodulation, filtering, equalization
In signal processing, sub-band coding (SBC) is any form of transform coding that breaks a signal into a number of different frequency bands, typically by using a fast Fourier transform, and encodes each one independently. This decomposition is often the first step in data compression for audio and video signals.
Audio signal flow is the path an audio signal takes from source to output. [1] The concept of audio signal flow is closely related to the concept of audio gain staging; each component in the signal flow can be thought of as a gain stage. In typical home stereo systems, the signal flow is usually short and simple, with only a few components.
Linear predictive coding (LPC) is a method used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital signal of speech in compressed form, using the information of a linear predictive model. [1] [2] LPC is the most widely used method in speech coding and speech synthesis.
Audio signal processing is the electronic manipulation of audio signals using analog and digital signal processing. It is done for a variety of reasons, including: to enhance a sound, e.g. by applying an audio effect such as reverberation; to remove unwanted noises from a signal, e.g. echo cancellation in internet voice calls;
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