Hack Audio: An Introduction to Computer Programming and Digital Signal Processing in MATLAB

Download Hack Audio: An Introduction to Computer Programming and Digital Signal Processing in MATLAB written by Eric Tarr in PDF format. This book is under the category Computers and bearing the isbn/isbn13 number 1138497541/9781138497542. You may reffer the table below for additional details of the book.


SKU: 9597353e41e6 Category: Tag:



Eric Tarr


Routledge; 1st edition




492 pages









Book Description

Computers are at the center of almost everything related to audio. Whether for recording in the studio; synthesis in music production; or mixing in live sound; the computer plays an essential part. Audio effects plug-ins and virtual instruments are implemented as software computer code. Music apps are computer programs run on a mobile device. All these tools are created by programming a computer.

Hack Audio: An Introduction to Computer Programming and Digital Signal Processing in MATLAB provides an introduction for musicians and audio engineers interested in computer programming. It is intended for a range of readers including those with years of programming experience and those ready to write their first ever line of code. In the PDF ebook; computer programming is used to create audio effects using digital signal processing. By the end of the ebook; readers implement the following effects: digital summing; signal gain change; tremolo; mid/side processing; vocoder; stereo widening; auto-pan; distortion; filtering; equalization; multi-band processing; echo; vibrato; chorus; phaser; pitch shifter; flanger; auto-wah; convolution and algorithmic reverb; transient designer; compressor; expander; and de-esser.

Throughout the ebook; several types of test signals are synthesized; including: sine wave; impulse train; sawtooth wave; square wave; triangle wave; white noise; and pink noise. Common visualizations for signals and audio effects are created including: waveform; goniometer; impulse response; frequency spectrum; characteristic curve; step response; and spectrogram. In total; more than 200 examples are provided with completed code demonstrations.


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