离散傅里叶变换处理数字数据的实用技巧

Bokkisam Sindhura, S. Ashwin, G. Rajkumar, V. Elamaran, M. Sankar
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引用次数: 2

摘要

本研究的主要重点是探讨离散傅里叶变换(DFT)的基础知识。本文用实际操作的方法举例说明了DFT背后的几个重要的基本概念。用离散时间系统的采样频率(Fs)来理解信号频率,并给出了许多有趣的例子。这将建立一个全面的知识,适当地设计数字滤波器。此外,还使用Matlab R2016b工具用示例清楚地演示了重复序列的DFT和频谱泄漏等一些技巧和技巧。基于计算机的学习方式有助于学生群体在最新和创新的数字信号处理(DSP)应用中应用和探索他们的思想。这种学习方式激发了学生群体的自主学习,从而减轻了教学负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Useful Tips and Tricks on Digital Data Processing with Discrete Fourier Transform
The main focus of this study is to explore the basics on the discrete Fourier transform (DFT) strongly. This article exemplifies few important fundamental concepts behind DFT with a hands-on approach. The understanding signal frequencies in terms of the sampling frequency (Fs) of the discrete-time system with many examples are detailed with interestingly. This one will establish a thorough knowledge to design digital filters appropriately. Also, a few more tips and tricks such as the DFT of the repeated sequence and spectral leakage are demonstrated with examples clearly using the Matlab R2016b tool. The computer-based learning style helps the student community a lot to apply and explore their mind in recent and innovative digital signal processing (DSP) applications. This kind of study motivates student group with self-learning and hence reducing the teaching load.
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