Rapidly Prototyping and Implementing Audio Algorithms on DSPs Using Model-Based Design and Automatic Code Generation
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A. Ananthan, "Rapidly Prototyping and Implementing Audio Algorithms on DSPs Using Model-Based Design and Automatic Code Generation," Paper 7184, (2007 October.). doi:
A. Ananthan, "Rapidly Prototyping and Implementing Audio Algorithms on DSPs Using Model-Based Design and Automatic Code Generation," Paper 7184, (2007 October.). doi:
Abstract: This paper explores the increasingly popular model-based design concept to design audio algorithms within a graphical design environment, Simulink, and automatically generate processor specific code to implement it on target DSP in a short time without any manual coding. The final fixed-point processors targeted in this lecture will be Analog Devices Blackfin processor and Texas Instruments C6416 DSP.
Examples include an acoustic noise cancellation system (using a LMS algorithm), 3-Band a parametric equalizer, and miscellaneous audio effects. The design process starting from a floating point model to easily converting it to a fixed-point model is clearly demonstrated. Finally, the model is then implemented on C6416 DSK board and Blackfin 537 EZ-Kit board using Real Time Workshop (RTW) code generation tool.
Other examples that’ll design and implemented on the DSP within an hour will include audio effects such as reverberation, flanging, and voice pitch shifting.
@article{ananthan2007rapidly,
author={ananthan, arvind},
journal={journal of the audio engineering society},
title={rapidly prototyping and implementing audio algorithms on dsps using model-based design and automatic code generation},
year={2007},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{ananthan2007rapidly,
author={ananthan, arvind},
journal={journal of the audio engineering society},
title={rapidly prototyping and implementing audio algorithms on dsps using model-based design and automatic code generation},
year={2007},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={this paper explores the increasingly popular model-based design concept to design audio algorithms within a graphical design environment, simulink, and automatically generate processor specific code to implement it on target dsp in a short time without any manual coding. the final fixed-point processors targeted in this lecture will be analog devices blackfin processor and texas instruments c6416 dsp.
examples include an acoustic noise cancellation system (using a lms algorithm), 3-band a parametric equalizer, and miscellaneous audio effects. the design process starting from a floating point model to easily converting it to a fixed-point model is clearly demonstrated. finally, the model is then implemented on c6416 dsk board and blackfin 537 ez-kit board using real time workshop (rtw) code generation tool.
other examples that’ll design and implemented on the dsp within an hour will include audio effects such as reverberation, flanging, and voice pitch shifting.},}
TY - paper
TI - Rapidly Prototyping and Implementing Audio Algorithms on DSPs Using Model-Based Design and Automatic Code Generation
SP -
EP -
AU - Ananthan, Arvind
PY - 2007
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2007
TY - paper
TI - Rapidly Prototyping and Implementing Audio Algorithms on DSPs Using Model-Based Design and Automatic Code Generation
SP -
EP -
AU - Ananthan, Arvind
PY - 2007
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2007
AB - This paper explores the increasingly popular model-based design concept to design audio algorithms within a graphical design environment, Simulink, and automatically generate processor specific code to implement it on target DSP in a short time without any manual coding. The final fixed-point processors targeted in this lecture will be Analog Devices Blackfin processor and Texas Instruments C6416 DSP.
Examples include an acoustic noise cancellation system (using a LMS algorithm), 3-Band a parametric equalizer, and miscellaneous audio effects. The design process starting from a floating point model to easily converting it to a fixed-point model is clearly demonstrated. Finally, the model is then implemented on C6416 DSK board and Blackfin 537 EZ-Kit board using Real Time Workshop (RTW) code generation tool.
Other examples that’ll design and implemented on the DSP within an hour will include audio effects such as reverberation, flanging, and voice pitch shifting.
This paper explores the increasingly popular model-based design concept to design audio algorithms within a graphical design environment, Simulink, and automatically generate processor specific code to implement it on target DSP in a short time without any manual coding. The final fixed-point processors targeted in this lecture will be Analog Devices Blackfin processor and Texas Instruments C6416 DSP.
Examples include an acoustic noise cancellation system (using a LMS algorithm), 3-Band a parametric equalizer, and miscellaneous audio effects. The design process starting from a floating point model to easily converting it to a fixed-point model is clearly demonstrated. Finally, the model is then implemented on C6416 DSK board and Blackfin 537 EZ-Kit board using Real Time Workshop (RTW) code generation tool.
Other examples that’ll design and implemented on the DSP within an hour will include audio effects such as reverberation, flanging, and voice pitch shifting.
Author:
Ananthan, Arvind
Affiliation:
The MathWorks
AES Convention:
123 (October 2007)
Paper Number:
7184
Publication Date:
October 1, 2007Import into BibTeX
Subject:
Signal Processing
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=14242