可持续数字信号处理教育的创新实践
Zhibo Xie1, Zhongjie Zhu1, Yuer Wang1
1College of Information and Intelligence Engineering, Zhejiang Wanli University, Ningbo, China.
PloS one
|January 16, 2026
概括
这项研究通过将基于项目的学习与可持续发展目标 (SDGs) 和BOPPPS框架相结合,增强了数字信号处理 (DSP) 教育. 这种方法显著提高了学生的动力,实践技能和工程课程的学习效率.
科学领域:
- 工程教育 工程教育教育
- 数字信号处理教学教育学
背景情况:
- 传统的数字信号处理 (DSP) 教学,通常以模拟为基础的讲座,努力让学生参与并促进积极的学习.
- 由于学生对传统的DSP课程缺乏兴趣和积极参与,因此观察到低于最佳的教育成果.
- 电子信息工程课程严重依赖DSP,需要改进教学方法.
研究的目的:
- 为了提高学生的参与度和数字信号处理 (DSP) 课程的学习成果.
- 为了改善DSP教育,将BOPPPS教学框架与基于合作调查的学习 (CIBL) 整合起来.
- 将以可持续发展目标 (SDGs) 为导向的工程案例研究纳入基于项目的学习 (PBL) 以实现实际技能发展.
主要方法:
- 设计模拟硬件实验,将虚拟和物理环境连接起来,用于DSP学习.
- 整合了BOPPPS教学框架与协作基于调查的学习 (CIBL) 模型.
- 将以可持续发展目标 (SDGs) 为导向的工程案例研究纳入基于项目的学习 (PBL) 内容.
主要成果:
- 教学创新显著刺激了学生的动力,并提高了实际技能和解决问题的能力.
- 学业绩分析,学生调查和面试表明,学习效率和专业能力有所提高.
- 整合与SDG相关的工程项目显著提高了学生的动力和专业信心.
结论:
- BOPPPS,CIBL和以SDG为导向的PBL的综合方法有效地解决了传统DSP指令的局限性.
- 这种创新的教学方法增强了学生的参与度,实践技能获取,以及电子信息工程的整体学习成果.
- 通过对实施的教学策略的严格评估,促进了教学计划的持续优化.
相关概念视频
Design Example
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
Deconvolution
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Sampling Continuous Time Signal
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
In the...
Reconstruction of Signal using Interpolation
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
Downsampling
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
Upsampling
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...


