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Complex Nonlinearities for Audio Signal Processing
https://ccrma.stanford.edu/~jatin/papers/Complex_NLs.pdf#:~:text=Saturators%20The%20most%20commonly%20used%20nonlinearity%20in%20audio,con-%20stant%20value%20as%20the%20input%20gain%20increases.
Nonlinear Audio Processing - SoundBridge
https://soundbridge.io/non-linear-audio-processing/
Digital signal processing is mainly based on linear time-invariant systems. The assumption of linearity and time invariance is for sure valid for a great variety of technical systems. Especially for the systems where input and output signals are bounded to a specific amplitude range. To be precise, several analog audio processi…
Nonlinear Audio Processing
http://www.dspguide.com/ch22/7.htm
Nonlinear Audio Processing. Digital filtering can improve audio signals in many ways. For instance, Wiener filtering can be used to separate frequencies that are mainly signal, from frequencies that are mainly noise (see Chapter 17). Likewise, deconvolution can compensate for an undesired convolution, such as in the restoration of old recordings (also discussed in …
Complex Nonlinearities for Audio Signal Processing
https://ccrma.stanford.edu/~jatin/papers/Complex_NLs.pdf
INTRODUCTION In digital audio signal processing it is common to find audio ef- fects that use nonlinear elements to add harmonic content to the signal being processed, or to achieve a “distortion” type of effect. Typically, this is done either as part of an analog model, or using a static memoryless nonlinear element.
(PDF) Nonlinear audio systems identification through …
https://www.academia.edu/70988234/Nonlinear_audio_systems_identification_through_audio_input_Gaussianization
Hence, audio nonlinear systems should be identified when they are excited by their real inputs (natural audio signals). But the properties of audio signals make them unsuitable for classical identification algorithms, since they are generally non-Gaussian, non …
Non-Linear Processing in Echo Cancellation
https://www.vocal.com/echo-cancellation/non-linear-processing-in-echo-cancellation/
Non-linear Processing (NLP) in echo cancellation refers to operations of removing traces of residual echo in the “send” signal (and, specifically, in the error signal). Figure 1 depicts the NLP block and surrounding blocks and others elements of an echo canceller. While details of the NLP vary from implementation to implementation, basic operations of the NLP remain largely …
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