A DSP course for real-time systems design and implementation based on the TMS320C6211 DSK

Galanis, Michalis D.; Papazacharias, A.; Zigouris, E.

doi:10.1109/icdsp.2002.1028224

Cited by 14 publications

(8 citation statements)

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“…Several works have discussed the utilization and improving of TI company's DSP starter kit, including [11][12][13][14]. There are also some works about research based on Qualcomm Company's Binary Runtime Environment for Wireless (BREW) toolkit, such as [15][16][17].…”

Section: Related Workmentioning

confidence: 99%

Implementing and Optimizing of Entire System Toolkit of VLIW DSP Processors for Embedded Sensor-Based Systems

Yang

Zeng

Zhang

2015

Scientific Programming

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VLIW DSPs can largely enhance the Instruction-Level Parallelism, providing the capacity to meet the performance and energy efficiency requirement of sensor-based systems. However, the exploiting of VLIW DSPs in sensor-based domain has imposed a heavy challenge on software toolkit design. In this paper, we present our methods and experiences to develop system toolkit flows for a VLIW DSP, which is designed dedicated to sensor-based systems. Our system toolkit includes compiler, assembler, linker, debugger, and simulator. We have presented our experimental results in the compiler framework by incorporating several state-of-the-art optimization techniques for this VLIW DSP. The results indicate that our framework can largely enhance the performance and energy consumption against the code generated without it.

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Section: Related Workmentioning

confidence: 99%

Implementing and Optimizing of Entire System Toolkit of VLIW DSP Processors for Embedded Sensor-Based Systems

Yang

Zeng

Zhang

2015

Scientific Programming

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“…This paper investigates the performance of LMS and NLMS adaptive algorithms when implemented on Texas Instruments (TI) TMS320C6713 DSP hardware [8]- [10] and tested for two types of signals; sinusoidal tone signal and ECG signal. The obtained results from DSP kit are analyzed with the help of Digital Storage Oscilloscope (DSO) and shows considerable improvement in SNR level of a filtered signal.…”

Section: Introductionmentioning

confidence: 99%

Hardware Implementation of Adaptive Algorithms forNoise Cancellation

Thenua¹

2012

IJIEE

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In this work an attempt has been made to de-noise a sinusoidal tone signal and an ECG signal, with the help of LMS based adaptive algorithms, implemented on TMS320C6713 DSP processor in real-time environment. A SIMULINK model is developed then linked to code composer studio through embedded target and Real Time workshop facility to generate corresponding C code. The generated C code is used for the DSP processor to perform adaptive noise cancellation. The designed system is tested at three level of noise and shows a considerable level of improvement in Signal to Noise Ratio (SNR). Index Terms-Adaptivenoise cancellation (ANC), digital signal processor (DSP), mean squared error (MSE), normalized least mean square (NLMS), real time workshop (RTW).

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“…JDSP, an online JAVA object-oriented tool, developed at Arizona State University, is accessible through the use of a web browser including a rich suite of signal processing functions that facilitate interactive on-line simulations of modern statistical signal and spectral analysis algorithms [5]. On the other hand, hardware labs were developed using either fixed-point or floating-point DSP processors to support various applications, including filtering, spectrum analysis and communication applications [6][7][8][9]. Real-time hardware labs give practical aspects of the DSP algorithms dealing with quantization effects, fixed-point rounding and overflow errors and hardware optimization concepts.…”

Section: Introductionmentioning

confidence: 99%

An Online Web-Based Real Time Digital Signal Processing Course

Ferzli

Karam

2006

Proceedings. Frontiers in Education. 36th Annual Conference

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This work focuses on enabling on-line web delivery of the real-time DSP course offered at Arizona State University (ASU). For this purpose, tools are developed so that on-line students can directly control, via the web, the actual DSP boards, hardware equipment, and software tools in the Real-Time Embedded Signal Processing (RESP) laboratory from remote locations using different networking and I/O protocols. Working online test benches are set up for remote experimentation; two online test benches are presented, one using the Freescale DSP kit, and a second one using the Texas Instruments DSP kit. To test the quality of the on-line real-time DSP delivery and remote access, online assessment was conducted; the obtained feedback reflects high satisfaction recommending the use of the online version.

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A DSP course for real-time systems design and implementation based on the TMS320C6211 DSK

Cited by 14 publications

References 0 publications

Implementing and Optimizing of Entire System Toolkit of VLIW DSP Processors for Embedded Sensor-Based Systems

Implementing and Optimizing of Entire System Toolkit of VLIW DSP Processors for Embedded Sensor-Based Systems

Hardware Implementation of Adaptive Algorithms forNoise Cancellation

An Online Web-Based Real Time Digital Signal Processing Course

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