By Tae Hong Park
ISBN-10: 9812790276
ISBN-13: 9789812790279
This booklet bargains an advent to electronic sign processing (DSP) with an emphasis on audio signs and desktop song. It covers the mathematical foundations of DSP, vital DSP theories together with sampling, LTI structures, the z-transform, FIR/IIR filters, vintage sound synthesis algorithms, quite a few electronic results, subject matters in time and frequency-domain analysis/synthesis, and linked musical/sound examples. each time attainable, images and pix are integrated while proposing DSP recommendations of varied abstractions. To extra facilitate realizing of rules, a plethora of MATLAB® 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 ebook is designed for either technically and musically prone readers alike parents with a standard target of exploring electronic sign processing. Contents: Acoustics, listening to barriers, and Sampling Time-Domain sign Processing I Time-Domain approaches II Sine Waves Linear Time-Invariant structures Frequency reaction Filters Frequency-Domain and the Fourier remodel Spectral research, Vocoders, and different chocolates
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Extra info for Introduction To Digital Signal Processing: Computer Musically Speaking
Example text
Distortion and clipping — doubling scalar a from 1 to 32. Nothing seemingly special here, other than the sine wave turning more and more into what resembles a square wave. Generally speaking, the purest tone (and probably most boring) is a single sine tone. It has an unmistakable and distinct sound quality and timbre but is not very musically intriguing, although it has had its share of usage in early electronic music, especially in Germany when experimentation with oscillators was popular with composers such as Karheinz Stockhausen.
The counterpart to time-domain is referred to as the frequency-domain which will be formally presented in Chap. 8. Frequencydomain concepts are maybe a bit more difficult to grasp in the beginning for some folks as the concept differs on a fundamental level. Time-domain concepts on the other hand probably will come to us more naturally as we are accustomed to hearing sounds and waveforms in the time-domain. 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.
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. 8 Musical Examples There are a number of interesting musical examples that take advantage of some of the concepts we have discussed in this chapter.
Introduction To Digital Signal Processing: Computer Musically Speaking by Tae Hong Park
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