Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK

Welch, Thad B.; Wright, Cameron H. G.; Morrow, Michael G.

doi:10.1201/9781420057829

Cited by 38 publications

(21 citation statements)

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“…The second approach was pioneered by Welch et al in a series of papers (see for example, [11][12][13]) and ultimately resulted in a recent book [1]. The primary stated goal is to enhance and extend students' understanding of fundamental DSP concepts.…”

Section: Decisions About Course Emphasismentioning

confidence: 99%

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Considerations for Planning a DSP Hardware Class

Kubichek

Wright

2009

2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop

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DSP theory courses have been standard fare in electrical engineering departments for many years, however DSP hardware courses are less common, and designing a course syllabus is not so straightforward. Two syllabus decisions involve course emphasis and course structure. For example, should the course focus on low-level DSP programming topics such as pipelining, or is the goal to enhance student understanding of important DSP concepts? Secondly, should the class use traditional lectures, or should class time be devoted largely to hands-on laboratory experiences with minimal lecture time? This paper attempts to summarize the most important course decisions, in order to begin a discussion of what format works best for these classes.

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Section: Decisions About Course Emphasismentioning

confidence: 99%

“…Furthermore, there are now several excellent textbooks focusing on hardware DSP including Welch et al [1], Chassaing [2], and others. Although these books definitely remove some of the burden involved in course development, the decisions that need to be made are not nearly so clear cut as they are with traditional DSP theory classes.…”

Section: Introductionmentioning

confidence: 99%

Considerations for Planning a DSP Hardware Class

Kubichek

Wright

2009

2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop

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“…While many communication topics are difficult for undergraduate students to fully understand, demonstrations and laboratory experiences have been shown to greatly facilitate the learning process [1][2][3][4][5][6][7]. This paper describes how to teach the digital communication modulation technique of frequency shift keying (FSK) using a highly successful combination of theory, demonstrations, lab exercises, and real-time DSP experiences that incorporates MATLAB and the Texas Instruments (TI) C67x digital signal processing starter kit (DSK).…”

Section: Introductionmentioning

confidence: 99%

COMMFSK: a Hardware Approach to Teaching FSK

Wright

Welch

Morrow

2006

2006 IEEE 12th Digital Signal Processing Workshop &Amp;amp; 4th IEEE Signal Processing Education Workshop

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Many communication topics are difficult for undergraduate students to internalize, but demonstrations and laboratory experiences have been shown to help a great deal. This paper describes how we teach the concept of frequency shift keying by using a highly successful combination of theory, demonstrations, lab exercises, and real-time DSP experiences that incorporate MATLAB and the Texas Instruments C67x digital signal processing starter kit.

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“…The proposed hardware architecture is divided into various modules, namely, the signal conditioning module, the DSP module and the interface module composed of embedded computer and a user interface. The interface between DSP and MatLab resided in the embedded computer is by means of a host-port interface on DSP starter kit (DSK) and Code Composer Studio software [3]. Thus, in the proposed integrated hardware system for PQ disturbance classification, the implementation of the S-transform algorithm in the DSP is considered as a new hardware implementation for PQ disturbance detection.…”

Section: Introductionmentioning

confidence: 99%

Integrated Hardware System for Power Quality Disturbance Classification

Mohamed¹,

Salem

Samad³

2009

International Journal of Emerging Electric Power Systems

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Detection and classification of power quality (PQ) disturbances in real-time is an important consideration to electric utilities and many industrial customers so that diagnosis and mitigation of such disturbances can be implemented quickly. This paper presents the design and development of an integrated hardware system for classification of PQ disturbances using the rule based system. A hardware system has been designed using advanced digital signal processor to provide fast data capture and processing of signals using the S-transform analysis. Distinct features of various disturbances are extracted from the S-transform analysis in which these features are used to formulate rules. A rule based expert system is developed to automate the process of classifying the various types of disturbances. The disturbance classification results prove that the developed rule based system is more accurate than the neural network approaches in classifying PQ disturbances such as voltage sag, swell, impulsive transient, notching and interruption.

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Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK

Cited by 38 publications

References 0 publications

Considerations for Planning a DSP Hardware Class

Considerations for Planning a DSP Hardware Class

COMMFSK: a Hardware Approach to Teaching FSK

Integrated Hardware System for Power Quality Disturbance Classification

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