By Park T.H.
This ebook bargains an creation to electronic sign processing (DSP) with an emphasis on audio signs and computing device song. It covers the mathematical foundations of DSP, vital DSP theories together with sampling, LTI platforms, the z-transform, FIR/IIR filters, vintage sound synthesis algorithms, numerous electronic results, issues in time and frequency-domain analysis/synthesis, and linked musical/sound examples. at any time when attainable, photos and photos are incorporated whilst providing DSP recommendations of varied abstractions. To extra facilitate figuring out of principles, a plethora of MATLABÂ® code examples are supplied, permitting the reader tangible potential to attach dots through arithmetic, visuals, in addition to aural suggestions via synthesis and modulation of sound. This booklet is designed for either technically and musically vulnerable readers alike fogeys with a standard objective of exploring electronic sign processing. Contents: Acoustics, listening to boundaries, and Sampling Time-Domain sign Processing I Time-Domain tactics II Sine Waves Linear Time-Invariant platforms Frequency reaction Filters Frequency-Domain and the Fourier rework Spectral research, Vocoders, and different sweets
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Additional info for Introduction to digital signal processing: Computer musically speaking
This is especially true when testing out newly designed synthesis algorithms or using signal processing concepts in ways they were not “meant” to be used. An example of such a piece is called The Machine Stops written by the author in 2000. This piece actually exploits and “misuses” some of the DSP concepts we covered in this chapter - aliasing, sampling, distortion, and the sine wave. In this piece, the artifacts of aliasing are used in a musical context as is distortion, sampling and audio rate (above 20 Hz and beyond) panning and other processes.
We will thus spend a substantial amount of time in the time-domain and get familiar with various DSP concepts before proceeding to frequency-domain related studies. Topics covered in this chapter will include amplitude envelope computation, pitch detection and autocorrelation, overlap and add 40 September 25, 2009 13:32 spi-b673 9in x 6in Time-Domain Signal Processing I b673-ch02 41 concepts, as well as a select number of classic sound synthesis algorithms. As usual, the chapter will conclude with musical examples pertinent to discussed materials.
The dithered version of the cosine on the other hand at the bottom plot of Fig. 3, when quantized, loses this repetitive pattern of the square wave. Finally, Fig. 4 shows an exponentially decaying cosine with and without dithering. Clearly the dithered quantized version does a better job eliminating the square wave patterns. The quantization scheme applied in the plots is also referred to September 25, 2009 13:32 spi-b673 9in x 6in Acoustics, Hearing Limitations, and Sampling b673-ch01 37 as pulse width modulation (PWM) which refers to the way the pulse width contracts and expands in accordance with the signal.