Digital Signal Processing Education Research Articles

Teaching Reform of Digital Signal Processing Driven by Probabilistic Neural Network

In this paper, teaching reform of Digital Signal Processing (DSP) is conducted based on the data analysis by machine learning methodologies. First, the Spearman correlation coefficients between different process assessments and the total scores are computed to show their relevance. Then, a probabilistic neural network is trained based on real data, and the test result proves that one student’s final score level can be roughly inferred based on his/her process assessment. Hence, several reform schemes are proposed centering at the process assessment to help strengthen learning of important knowledge points. Finally, the assessment results show that the proposed teaching reform plans are reasonable and effective in improving the achievability of DSP teaching.

Creativity First, Science Follows: Lessons in Digital Signal Processing Education

Digital signal processing (DSP) education has traditionally employed more demanding mathematics than most topics found among courses in electrical/electronic/computer engineering. In some cases, the technical challenges posed by some courses have made it difficult for students to complete those courses successfully. Here, we advocate for creativity to be nurtured in the first place, after which the science will flow naturally. To foster creativity, our pedagogical approach includes a variety of solutions incorporating exploratory exercises, open-ended multidisciplinary coursework, blended lecture-laboratory sessions, and a colorful working environment. We firmly believe that creativity is the way forward. Student feedback supports our approach.

Reform and Exploration in the Teaching of Digital Signal Processing

Reform and Exploration in the Teaching of Digital Signal Processing

Research on Digital Signal Processing Experiment System Based on Virtual Instrument Technology

A virtual demonstration experiment system has been designed by using the development environment LabVIEW which is used in digital signal processing teaching in the paper, Nyquist sampling theorem and the relation between circular convolution and linear are introduced in the paper. Teacher could dynamically demonstrate that the variable signal parameters had an effect on experiment phenomenon in these teaching programs. This experiment system has many distinct features such as openness, extension, interaction, digitization, network, modularization, economization, it is both a new way of experimental teaching and a new direction in the experiment teaching innovation, it will powerfully promote the innovation of teaching idea and teaching mode.

Study on the Relationship between Students' Mastery of Theory and Practice in Digital Signal Processing Teaching

Digital Signal Processing (Digital Signal Processing, DSP) is a strong theoretical and practical subject, has widely used in many practical fields. Due to lack of knowledge system, it is difficult for students to apply the theory to practice and apply the theory of knowledge to solve practical engineering problems. So in the teaching of Digital Signal Processing, we must take the theory as the guide, take the practice as the center, strengthen the innovation of the teaching mode, and deal with the relationship between theory teaching and practice teaching. In view of the course, we introduce the Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), propose a new teaching effect assessment method. By collecting the theoretical examination and experimental results of students, using the method of data mining fit out test parameter analysis, combining with FuzzyCDF to get master degree of theoretical knowledge and practice ability, then according to the experimental results, give objective and scientific evaluation and provide good advice to improve the quality of teaching.

Teaching Reform Exploration of "Digital Signal Processing" Driven by Engineering Project

A new teaching method is proposed for "Digital signal processing" course for postgraduate students because it is very theoretical and abstract. Digital signal processing teaching reforms consist of the basic theory integration and experiment simulations. The teaching process is driven by engineering project and combined with digital signal processing flow. The classic contents of digital signal processing are deeply analyzed combined with simulations. Algorithms commonly used in engineering are treated as the contents of experiment simulations and complete engineering simulation designs are treated as practice topics. Through this reform practice, postgraduate students will greatly improve in independent study, practice and collaboration and will lay the foundation of their future research work.

Méthode d’enseignement du traitement numérique de signal par blocs de simulation

The integration of software tools in education has demonstrated sufficient effectiveness in assimilation process, of concepts and formulas relatively difficult to understand by a written or oral description, in all fields of science and technology. In this work, we propose the use of simulation blocks developed in Matlab tool in the teaching of digital signal processing in general, and analyzing a nonrecursive digital filter as practical case study. Then we discuss the organization of a library of blocks shared between teachers in the different sequences of the course.

Development of MATLAB-Based Digital Signal Processing Teaching Module with Graphical User Interface Environment for Nigerian University

The development of a teaching aid module for digital Signal processing (DSP) in Nigeria Universities was undertaken to address the problem associated with non-availability instructional module. This paper annexes the potential of Peripheral Interface Controllers (PICs) with MATLAB resources to develop a PIC-based system with graphic user interface environment suitable for data acquisition and signal processing. The module accepts data from three different sources: real time acquisition, pre-recorded data acquisition and software-generated data. The developed system is able to perform analysis on both stationary and non-stationary signals using Fast Fourier Transform (FFT) and Short Time Fourier Transform (STFT). The STFT-based approach provides Improved Joint Time Frequency Analysis (IJTFA) of signals. A graphical user interface (GUI) was developed to create interactive environment for understanding the operations of digital signal processing. The developed system not only provides interactive platform for data acquisition, spectral analysis and filter design but also makes it avoidable to students in Nigeria University.

Enhancing the Teaching of Digital Signal Processing through Project-Based Learning

Engineering education is constantly challenged to bridge the gap between classroom and real world problems. This paper reports on the experience at PSUT to complement the teaching of digital signal processing through project-based learning. A low cost digital stethoscope is utilized by students to record heartbeat sounds and apply DSP concepts to extract vital information from the signal. The ability to apply concepts learned in the classroom to a real world problem was an important element that motivated students. The feedback from students reinforced the effectiveness of these techniques in teaching concepts of digital signal processing

Correlation Analyzer Project for Teaching Digital Signal Processing with MATLAB and DSP Processor

Digital signal processing (DSP) has become one of key enabling technologies for communications, condition monitoring, multimedia computing, wireless networks and other areas requiring signal and information processing. With the rapid growth of applications of digital signal processing in the world, it has become necessary to introduce these concepts to graduates and undergraduates. Teaching of digital signal processing is carried out not only at the electrical and electronic engineering departments as the most traditional interested in this subject, but also others technical universities are carried out lectures and tutorials. In this paper, a digital signal processing development process is described. It starts from the conceptual algorithm design and computer simulation using MATLAB. After verification of the algorithm, a fixed-point C program is developed for a specific fixed-point DSP processor. This application covers most topics included in a DSP courses performing independent multiple simple experiments. The used methodology enables students and engineers to understand and develop complex fixed-point applications on hardware implementations.

Hands-On DSP Education through Experiments

A new graduate from electrical engineering education must know about digital signal processing (DSP) to find a secure place in the competitive jobs market. Although this topic can be taught theoretically, its importance comes from practical applications. Therefore, students must be equipped with appropriate tools. Fortunately, DSP platforms serve this purpose. At Yeditepe University, we established a laboratory to guide students in real-time digital signal processing applications. We selected a Texas Instruments TMS320C6713 DSK platform for this purpose. In this study, we provide several laboratory applications on this platform. We also provide more advanced projects developed by our students which emerged from these applications. We observed that this laboratory improved the understanding of theoretical DSP concepts.

On the Eigenstructure of DFT Matrices [DSP Education

The discrete Fourier transform (DFT) not only enables fast implementation of the discrete convolution operation, which is critical for the efficient processing of analog signals through digital means, but it also represents a rich and beautiful analytical structure that is interesting on its own. A typical senior-level digital signal processing (DSP) course involves a fairly detailed treatment of DFT and a list of related topics, such as circular shift, correlation, convolution operations, and the connection of circular operations with the linear operations. Despite having detailed expositions on DFT, most DSP textbooks (including advanced ones) lack discussions on the eigenstructure of the DFT matrix. Here, we present a self-contained exposition on such.

From Lagrange to Shannon... and back: another look at sampling [DSP Education

Classical digital signal processing (DSP) lore tells us the tale of a continuous-time primeval signal, of its brutal sampling, and of the magic sine interpolation that, under the aegis of bandlimitedness, brings the original signal back to (continuous) life. This article switches the conventional viewpoint and cast discrete-time sequences in the lead role, with continuous-time signals entering the scene as a derived version of their gap-toothed archetypes. Some well-known but seldom-taught facts about interpolation and vector spaces are brought together and the classic sine reconstruction formula derived naturally from the Lagrange interpolation method are recalled. Such an elegant and mathematically simple result can have a great educational value in building a solid yet very intuitive grasp of the interplay between analog and digital signals.

The use of concurrent codes in computer programming and digital signal processing education

Introducing relevant and meaningful real-world applications in exercises intended to teach traditional undergraduate topics is difficult; limitations on depth and scope can result in only a passing...

Comment on "Implementation of a Web-Based Educational Tool for Digital Signal Processing Teaching Using the Technological Acceptance Model

The author points out some errors in the paper by S. L. Toral Marin et al. (see ibid., vol.48, no.4, p.632-41, Nov. 2005)

Teach-Ware: DSP education resources

This paper describes a variety of TeachWare, i.e., digital signal processing (DSP) education resources that are useful for introducing DSP concepts, operations, and algorithms. The paper provides such information as the type of resource, its status, and format.

Analysis of utility and use of a web-based tool for digital signal processing teaching by means of a technological acceptance model

This paper presents an exploratory study about the development of a structural and measurement model for the technological acceptance (TAM) of a web-based educational tool. The aim consists of measuring not only the use of this tool, but also the external variables with a significant influence in its use for planning future improvements. The tool, designed with Shockwave™ and Macromedia Director™, is a web-based educational environment that has been applied as a teaching methodology in an undergraduate course involved with modern microprocessors architectures and applications. The proposed methodology may be extensible to similar tools and tries to fill the lack of scientific studies in the validation and acceptance of computer-based educational tools.

Implementation of a Web-Based Educational Tool for Digital Signal Processing Teaching Using the Technological Acceptance Model

This paper presents an exploratory study about the improvement and validation of a Web-based educational tool. The tool, designed with Shockwave and Macromedia Director, is used as a teaching methodology in an undergraduate course using modern microprocessors, architectures, and applications. An information system theory, called the Technological Acceptance Model (TAM), has been applied to detect both the use of the tool and the external variables that have a significant influence over it. The obtained results illustrate the strengths and weaknesses to be reinforced and have been taken into account to implement the final version of the tool. The proposed method may be extended to similar tools and experiments to fill the lack of scientific studies in the validation and acceptance of computer-based educational tools.

A Digital Signal Processing Teaching Methodology Using Concept-Mapping Techniques

The main goal of this study is to develop a scientific method for designing a teaching methodology used in a basic digital signal processing (DSP) course. The proposed method is based on concept-mapping techniques, which applies multivariate statistic analysis to summarize the experience and knowledge of teachers involved in basic DSP teaching. As a result, a set of teaching methodologies is obtained. This result, as well as other information obtained related to the relative importance of the concepts to be covered, has been used to program the course. Moreover, different teaching tools have been developed to implement the proposed teaching methodology. Finally, the reliability of the method has been compared with similar studies to validate the proposed methodology.

The SIVA Demonstration Gallery for signal, image, and video processing education

The techniques of digital signal processing (DSP) and digital image processing (DIP) have found a myriad of applications in diverse fields of scientific, commercial, and technical endeavor. DSP and DIP education needs to cater to a wide spectrum of people from different educational backgrounds. This paper describes tools and techniques that facilitate a gentle introduction to fascinating concepts in signal and image processing. Novel LabVIEW- and MATLAB-based demonstrations are presented, which, when supplemented with Web-based class lectures, help to illustrate the power and beauty of signal and image-processing algorithms. Equipped with informative visualizations and a user-friendly interface, these modules are currently being used effectively in a classroom environment for teaching DSP and DIP at the University of Texas at Austin (UT-Austin). Most demonstrations use audio and image signals to give students a flavor of real-world applications of signal and image processing. This paper is also intended to provide a library of more than 50 visualization modules that accentuate the intuitive aspects of DSP algorithms as a free didactic tool to the broad signal and image-processing community.