Difference between revisions of "DSP"

From EMC Electronic Music Coders
Jump to navigation Jump to search
(Created page with "Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal proce...")
 
 
(One intermediate revision by the same user not shown)
Line 2: Line 2:
  
 
Digital signal processing and analog signal processing are subfields of signal processing. DSP applications include audio and speech processing, sonar, radar and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, signal processing for telecommunications, control systems, biomedical engineering, seismology, among others.
 
Digital signal processing and analog signal processing are subfields of signal processing. DSP applications include audio and speech processing, sonar, radar and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, signal processing for telecommunications, control systems, biomedical engineering, seismology, among others.
 +
 +
http://docs.juce.com/master/tutorial_dsp_introduction.html
 +
Discover the realm of digital signal processing and audio buffer manipulation. Learn the basics of the JUCE DSP module and how you can incorporate its classes in your own audio application and plugins.
 +
 +
 +
http://docs.juce.com/master/tutorial_dsp_convolution.html
 +
Add grit to a synthesiser sound by creating harmonic distortion through waveshaping. Learn the basics of convolution to retrieve the sonic characteristics contained in an impulse response.
 +
 +
http://docs.juce.com/master/tutorial_dsp_delay_line.html
 +
Implement a realistic string model by means of physical modelling. Incorporate a delay line to create intricate echo patterns in the stereo sound field.
 +
 +
 +
http://docs.juce.com/master/tutorial_simd_register_optimisation.html
 +
Take advantage of the processor's parallelism to perform single instruction multiple data calculations. Optimise your audio applications without introducing concurrency.
 +
 +
http://docs.juce.com/master/tutorial_simple_fft.html
 +
Learn how to display incoming audio data as a spectrogram by using the FFT class of the DSP module. Understand the benefits of using a Fast Fourier Transform.
 +
 +
http://docs.juce.com/master/tutorial_spectrum_analyser.html
 +
Learn how to display incoming audio data as a spectrum analyser by using the FFT class of the DSP module. Understand the benefits of using a windowing function.

Latest revision as of 15:06, 9 May 2019

Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space, or frequency.

Digital signal processing and analog signal processing are subfields of signal processing. DSP applications include audio and speech processing, sonar, radar and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, signal processing for telecommunications, control systems, biomedical engineering, seismology, among others.

http://docs.juce.com/master/tutorial_dsp_introduction.html Discover the realm of digital signal processing and audio buffer manipulation. Learn the basics of the JUCE DSP module and how you can incorporate its classes in your own audio application and plugins.


http://docs.juce.com/master/tutorial_dsp_convolution.html Add grit to a synthesiser sound by creating harmonic distortion through waveshaping. Learn the basics of convolution to retrieve the sonic characteristics contained in an impulse response.

http://docs.juce.com/master/tutorial_dsp_delay_line.html Implement a realistic string model by means of physical modelling. Incorporate a delay line to create intricate echo patterns in the stereo sound field.


http://docs.juce.com/master/tutorial_simd_register_optimisation.html Take advantage of the processor's parallelism to perform single instruction multiple data calculations. Optimise your audio applications without introducing concurrency.

http://docs.juce.com/master/tutorial_simple_fft.html Learn how to display incoming audio data as a spectrogram by using the FFT class of the DSP module. Understand the benefits of using a Fast Fourier Transform.

http://docs.juce.com/master/tutorial_spectrum_analyser.html Learn how to display incoming audio data as a spectrum analyser by using the FFT class of the DSP module. Understand the benefits of using a windowing function.