Signal Processing Course Research Articles

Investigating Students’ Habits of Mind in a Course on Digital Signal Processing

Contribution: Knowledge of students’ Habits of Mind in a signal processing course, and a method for education research. The method identifies factors that may influence students’ performance, but are not evident when analyzing agglomerated data; it is an alternative to the traditional case study method as it derives the cases after applying a clustering approach. Background: Habits of Mind refer to mathematical, logical, and attitudinal modes of thinking required for students of science, mathematics, technology, and engineering to become effective problem solvers, capable of transferring such modes to new contexts. These are particularly relevant in a signal processing course in which students must learn to address engineering problems using tools and techniques previously acquired in an abstract context (mathematics). Research Questions: 1) What are the different Habits of Mind patterns exhibited by the students? 2) Are some of these patterns associated with differences in course grades? Methodology: A qualitative method is combined with random signal modeling and machine learning. Students’ work is first annotated manually based on a custom-built rubric of Habits of Mind. Data is modeled and clustered to obtain statistically significant patterns of Habits of Mind corresponding to divisions of the students into groups. Findings: The data obtained suggests that the student group is inhomogeneous in terms of their Habits of Mind, and this inhomogeneity is associated with grade differences. In particular, the course grade is found to be dependent on inhomogeneity based on at least two Habits of Mind: 1) computation and estimation and 2) values and attitudes.

Summary of Bilingual Teaching Construction in Digital Signal Processing Course—Take the Communication Engineering Major of Anhui Xinhua University as an Example

In this paper, based on the curriculum implementation of Digital Signal Processing in the early period of the bilingual teaching work in Anhui Xinhua University, curriculum system and feasibility analysis, the construction plan of bilingual teaching of curriculum implementation, curriculum effectiveness checking of bilingual teaching, the project team has carried out the preliminary exploration and tentative practice. And the bilingual teaching system were researched, analyzed and summarized systematically. Through the concrete effectiveness testing, it has achieved a good effectiveness with helpful reproducibility.

Low-cost didactic platform for real-time adaptive filtering: Application on noise cancellation

Didactic platforms, used in real-time digital signal processing courses, are generally dedicated digital signal processors or field-programmable gate arrays. These devices are expensive and difficult to program, preventing their widespread use in signal processing courses. On the other hand, the new technology of digital signal controllers, microcontrollers with floating point and mathematical operations, can reduce the cost of dedicated platforms for real-time digital signal processors, facilitating the development of digital signal processors projects and educational applications, such as teaching adaptive filters. Here, we present a low-cost didactic platform for developing real-time adaptive filters using the digital signal processors hardware based on the ARM Cortex-M7 processor. We present the theoretical aspects of the least mean squares and normalized least mean squares algorithms and an experimental script to help students learn real-time adaptive filters. We also describe the platform structure and the performance measurement, in terms of mean square error, signal-to-noise ratio, and computational efficiency. Finally, we present a brief discussion on the use of this platform in classes and the improvement in the student engagement and attendance.

A Didactic Note on Classic Function Spaces and the Fourier Transform

In the present paper we recall the main points of the Fourier Transform developments, in particular the historical origin of the inversion formula. Hence we construct explicit examples of functions in different zones of the range of the Fourier transform in \(L^1\). These can be used as exercises in a basic course of signal processing or harmonic analysis.

Smartphone-Based Real-Time Digital Signal Processing, Second Edition

Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses in many engineering programs for the purpose of te

A speech communication educational platform with high-capacity information hiding scheme

A novel educational platform for voice over Internet protocol speech communication is proposed in this paper with the aim of further presenting a course of digital speech signal processing. The proposed platform can transmit a speech signal while a secret message is simultaneously embedded in the transmitted encoded bits of this speech signal. Data hiding techniques usually consider two issues, embedding capacity and speech quality. Consequently, in order to achieve high embedding capacity and good speech quality, a data hiding scheme combining discrete cosine transform and voice activity detection algorithms is presented in this paper. This work has two major contributions. First, the embedding capacity of secret speech is increased by 95%, while maintaining good secret speech quality because the secret speech is firstly encoded before embedding into the cover (carrier) speech. Secondly, the characteristics of speech signals can be understood and the proposed information hiding technique for speech signals can be explored. The results of an imperceptibility evaluation indicated that the average perceptual evaluation of the speech quality score degraded slightly by 0.03 relative to that of the cover speech that had no hidden data. The experimental results showed that our proposed hiding scheme not only achieves imperceptibility but also provides a high data-embedding capacity at an average of 8252 bits per second. Objective and subjective evaluations verified that our proposed hiding scheme can achieve a large data-embedding capacity with imperceptible distortion in the stego-speech quality.

A MATLAB-based biomedical signal de-noising applied to digital signal processing course for third-year students

Signal de-noising is one of the major topics of engineering application covered in an undergraduate-level digital signal processing course. Generally speaking, it involves a number of tedious concepts that have intrinsic physical meaning, which is difficult for students to understand . In this paper, an educational method using diaphragmatic electromyographic (EMGdi) as the de-noising object, which runs on the MATLAB software, has been developed for the convenience of learning and understanding for three-years students in digital signal processing course. This method transforms the analog filter to a digital filter by applying bilinear transformation equations, which allows the students explore the various characteristics of digital filter, such as low pass filter, high pass filter, band pass filter and band stop filter. That means Laplace equation transformed by inductance, capacitance and resistance will be replaced by the z equation, which is used for deriving sequence of difference equations. In the case studies, the clinical EMGdi is used to show the features of the developed method. Furthermore, classroom experience in the Nanfang College of Sun Yat-sen University has shown that the developed method helps in consolidating a better understanding of signal de-noising processing in digital signal processing course.

Bringing Wearable Sensors into the Classroom: A Participatory Approach [SP Education

By bringing research into the curriculum, this article explores new opportunities to refresh some classic signal processing courses. Since 2015, we in the Electrical and Electronic Engineering (EEE) Department of Imperial College London, United Kingdom, have explored the extent to which the level of student engagement and learning can be enhanced by inviting the students to perform signal processing exercises on their own physiological data. More specifically, using new wearable sensor technology and video instructions as an experiment guide, the students are asked to record their electrocardiograms (ECGs) and perform both time- and spectral-domain estimation tasks on their own real-world data. In this way, the students not only gain experience with recording hardware and sources of signal contamination (baseline wanders and artifacts), but they also are highly motivated by being kept in the loop and through their part ownership of their course.

An approach to STFT and CWT learning through music hands‐on labs

AbstractThis work presents a series of lectures and activities for Digital Signal Processing (DSP) teaching, based upon music and their principal elements such as melody, pitch, timbre, beat, and metric, to explain the time‐frequency analysis and its repercussions in other areas of engineering. DSP courses are difficult to the students due to a high mathematical content and high level of abstraction, for this reason, the primary objective of this work is to create a pedagogical tool that allows the improvement on the teaching process in Signal Processing courses. There are two popular approaches: Short‐Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) which have been used to find time‐frequency maps. The student roll was designed for active participation by creating melodies from real instruments as well as synthetic generators, and by implementing the codes of STFT and CWT in MATLAB. The results demonstrate that in general terms, after carrying out these laboratory activities the students are more motivated to learn Signal Processing theory, and some of them become interested in the new research line on Music Information Retrieval (MIR), which would benefit the continuity of the Accreditation Board for Engineering and Technologies ABET, obtained for the Automation Engineering program at Universidad Autónoma de Querétaro (UAQ) since 2016.

Higher Education Study by Teaching Course of Digital Signal Processing

Bilingual teaching is generally used in higher education. English is used as the second language to learn and acquire the interdisciplinary knowledge except the mother tongue. Some high education philosophies are introduced in this paper. The teaching quality control and assessment are introduced. The teaching methods used in Digital Signal Processing course are discussed. Through the bilingual teaching methods, students could broaden their international view.

苏北高校如何在信号处理类课程的教学中培养本科生的科研能力—以淮阴工学院为例

苏北高校如何在信号处理类课程的教学中培养本科生的科研能力—以淮阴工学院为例

Analysis of Digital Signal Processing Correlated Curricula Based on Fuzzy Cognitive Model

The analysis of students' performance in education teaching in colleges and universities plays an important role. However, little attention is paid to these analyses in many universities so far and the existing results of analyses are not comprehensively and thoroughly enough. According to this situation, in order to help students understand their own capabilities and help teachers master students' level, this paper introduced the fuzzy cognitive model and applied it to the course of digital signal processing and other correlated curricula. We analyzed related data with the fuzzy cognitive model in multi-aspects such as the correlation between other courses and digital signal processing, the relationship between prediction results and actual results, the difference between scores of different classes, students' performance trends in different score sections. On these bases, we put forward corresponding teaching suggestions, in order to promote the teachers' teaching level and students' learning effect in the course of digital signal processing.

All about… air pollution

Nursery WorldVol. 2017, No. 12 EYFS Best PracticeAll about… air pollutionCharlotte GoddardCharlotte GoddardSearch for more papers by this authorCharlotte GoddardPublished Online:4 Jul 2017https://doi.org/10.12968/nuwa.2017.12.21AboutSectionsView articleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View articleAbstractWhat can settings do to protect their children from increasing air pollution, asks Charlotte Goddard FiguresReferencesRelatedDetailsCited byCan the Locked-In Be Unlocked? University Stratification in China Under State-Led Quest for World-Class Universities6 October 2022 | Higher Education Policy, Vol. 40Feasibility of using social media to monitor outdoor air pollution in London, EnglandPreventive Medicine, Vol. 121How to Train College Students’ Research Capability during the Teaching of Signal Processing Course in North Jiangsu Universities—Taking Huaiyin Institute of Technology as an ExampleAdvances in Social Sciences, Vol. 07, No. 07 12 June 2017Volume 2017Issue 12ISSN (print): 0029-6422ISSN (online): 2059-9358 Metrics History Published online 4 July 2017 Published in print 12 June 2017 Information© MA Education LimitedPDF download

A multipurpose toolkit for teaching DSP in an undergraduate course

ABSTRACTTeaching an introductory course in Digital Signal Processing (DSP) involves the careful selection and arrangement of essential topics from the vast expanse of the subject. A substantial amount of effort from the teacher is required to deliver mathematical and algorithmic concepts. In this paper, we present a Windows Store App which can be used as a teaching aid for an introductory undergraduate DSP course. The app has six modules. Four of the modules demonstrate problems which require complex calculations, viz. linear convolution, circular convolution, radix‐2 Fast Fourier Transform (FFT), and Finite Impulse Response (FIR) filter design. These modules display elaborate butterfly diagrams and matrix multiplications to enhance pedagogy. The other two modules form a digital signal processor toolkit based on a hypothetical 16‐bit floating‐point digital signal processor, with a simple instruction set. The app has been used to teach a course on DSP and a positive feedback was received from the students. © 2017 Wiley Periodicals, Inc. Comput Appl Eng Educ 25:530–541, 2017; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21819

Online formative assessments in a digital signal processing course: Effects of feedback type and content difficulty on students learning achievements

This study aimed to investigate the effects of using online formative assessments on students’ learning achievements. Using a quasi-experimental study design with one control group (no formative assessments available), and two experimental groups receiving feedback in available online formative assessments (knowledge of the correct response – KCR, or elaborated feedback – EF), it was investigated how feedback type in combination with learning content complexity will affect students’ learning achievements when used in-vivo, in a digital signal processing university course. Data generated by the two experimental groups was additionally used to investigate differences in using online formative assessments based on the feedback type. Study findings suggest online formative assessments are a very efficient educational intervention for this domain. The acquired data suggests that students quickly recognized the value of the formative assessments and that more than 90% of students have used them extensively. Statistically significant improvements in learning achievements were observed in the KCR group compared to the control group (p < 0.01, Cohen’s d between 0.691 and 1.080, depending on the learning content complexity), and KCR group compared to the EF group (p < 0.01, Cohen’s d = 0.877, in the case of most complex of the three learning contents used). No statistically significant differences were found in formative assessment usage between the two experimental groups, aside from the difference in the time between consecutive formative assessment attempts, indicating students did make use of the available feedback. Reported results are significant for demonstrating the potential of online formative assessments in achieving the desired learning outcomes in higher education, as well as for gaining insights into students’ habits of using them.

Teaching complicated conceptual knowledge with simulation videos in foundational electrical engineering courses

Building a solid foundation of conceptual knowledge is critical for students in electrical engineering. This case study explores the use of simulation videos to illustrate complicated conceptual knowledge in foundational communications and signal processing courses. Students found these videos to be very useful for establishing concepts, understanding course content and increasing general knowledge in electrical engineering. We hope that the findings can help inform instructors of electrical engineering to transform their teaching practice and eventually benefit students through building a solid conceptual understanding that fosters the development of further engineering competencies.

하드웨어 전공자들의 확률 및 통계 관련 학업성취도 제고에 관한 연구

본 연구에서는 H/W 전공자들의 확률 및 통계 학습능력 증대를 위한 목적으로, 첫째, H/W 전공교과과정에서 개설된 프로그래밍관련 교과목과 멀티미디어 신호처리 교과목에 확률 및 통계를 연계한 교수법을 개발하여 교수-학습함으로써, 연구대상 학생들의 학업성취도 향상에 효과가 있는가를 검증하고 회귀분석을 활용하여 그 교육효과를 분석하고자 했다. 둘째, H/W 전공교과과정에서 설문조사와 확률 및 통계 연계 교육사례를 실시하고 통계적으로 분석하여 향후 확률 및 통계 학습능력을 함양하기 위한 효율적 교수-학습 운영방안에 관하여 제안하고자 했다. 마지막으로, 확률 및 통계는 H/W 분야와 연계함으로써 새로운 기술개발 및 지속적인 경쟁역량 강화를 유지해 나가는 필수교과임을 제시하고자 했다. The purpose of this study is to improve the learning ability of probability/statistics for H/W majors. Firstly, we developed a teaching method coupling probability/statistics with programming and multimedia signal processing courses that are opened in the H/W major curriculum. By use of its teaching-learning, we tried to verify the effectiveness on the improvement of learner's academic achievement and then analyze its educational efficiency through the regression analysis. Secondly, by analyzing the surveys and the statistical results of the education cases, we proposed a management plan on efficient teaching-learning in order to cultivate the learning ability of probability/statistics at a future time. Lastly, we concluded that probability/statistics is a required course of learners so as to contribute for the advanced technical development and the enhanced competitiveness in the field of the H/W.

Android-based mobile educational platform for speech signal processing

With the purpose of further mastering and grasping the course of speech signal processing, a novel Android-based, mobile-assisted educational platform (AEPS) is proposed in this paper. The goal of this work was to design AEPS as an educational signal-processing auxiliary system by simulating signal analysis methods commonly used in speech signal processing and bridging the gap for transition from undergraduate study to industry practice or academic research. The educational platform is presented in a highly intuitive, easy-to-interpret and strongly maneuverable graphical user interface. It also has the characteristics of high portability, strong affordability, and easy adoptability for application extension and popularization. Through adequate intuitive user interface, rich visual information, and extensive hands-on experiences, it greatly facilitates students in authentic, interactive, and creative learning. This paper details a subjective evaluation of AEPS’s effectiveness as an educational tool. The result of the experiences shows that the proposed platform not only promotes the students’ learning interest and practical ability but also consolidates their understanding and impression of theoretical concepts.

Explore postgraduate biomedical engineering course integration between medical signal processing and drug development: example for drug development in brain disease

&lt;p class="PaperKeywordTitle"&gt;Medical signal processing is a compulsory course in our university’s undergraduate biomedical engineering programme. Recently, application of medical signal processing in supporting new drug development has emerged as a promising strategy in neurosciences. Here, we discuss the curriculum reformation in biomedical signal processing course in the context of drug development and application in central nervous system, with a particular emphasis in knowledge integration. &lt;/p&gt;

Lessons Learned from Implementing Application-Oriented Hands-On Activities for Continuous-Time Signal Processing Courses [SP Education

Understanding the relationship between frequency and time domains using Fourier theory is crucial to engineers in many disciplines. In electrical and computer engineering, students usually first see this material in an introductory continuous-time signals and systems (CTSS) course and then apply it in many follow-up courses such as controls, digital signal processing (DSP), communications, and electromagnetic waves. Unfortunately, for such a crucial course, both faculty and students share longstanding concerns about the students' performance in these types of CTSS coursess.