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所在平台: Udemy |
课程主页: https://www.udemy.com/course/arduino-dsp/
课程评论：没有评论
**课程名称：** 从零开始的数字信号处理（DSP）——基于Arduino **课程概述：** 本课程采用编程驱动的方式，以引人入胜且易于理解的方式，帮助您打下坚实的数字信号处理（DSP）基础。课程旨在教授实用的DSP技术，避免抽象的数学理论障碍，用通俗易懂的语言解释DSP概念，而非仅仅依赖数学推导。为了方便实践，课程将提供多种编程语言和硬件架构选项，本版本特别选用Arduino开发板和编程语言。 **学习目标：** 完成本课程后，您将能够： * 在Arduino上开发和测试卷积核算法（Convolution Kernel algorithm）。 * 在Arduino上开发和测试离散傅里叶变换（DFT）算法。 * 在Arduino上开发和测试离散傅里叶逆变换（IDFT）算法。 * 在Arduino上设计和开发有限脉冲响应（FIR）滤波器。 * 在Arduino上设计和开发无限脉冲响应（IIR）滤波器。 * 在Arduino上开发窗函数Sinc滤波器（Windowed-Sinc filters）。 * 构建Modified Sallen-Key滤波器。 * 构建Bessel、Chebyshev和Butterworth滤波器。 * 在Arduino上开发快速傅里叶变换（FFT）算法。 * 掌握DSP相关知识，甚至能够进行相关讲座。 **重点：** 课程强调实践操作，通过Arduino平台让学生亲手实现和验证各种DSP算法和滤波器设计。
With a programming based approach, this course is designed to give you a solid foundation in the most useful aspects of Digital Signal Processing (DSP) in an engaging and easy to follow way. The goal of this course is to present practical techniques while avoiding obstacles of abstract mathematical theories. To achieve this goal, the DSP techniques are explained in plain language, not simply proven to be true through mathematical derivations. Still keeping it simple, this course comes in different programming languages and hardware architectures so that students can put the techniques to practice using a programming language or hardware architecture of their choice. This version of the course uses the Arduino board and programming language.By the end of this course you should be able develop and test the Convolution Kernel algorithm on arduino, develop and test the Discrete Fourier Transform (DFT) algorithm on arduino, develop and test the Inverse Discrete Fourier Transform (IDFT) algorithm on arduino, design and develop Finite Impulse Response (FIR) filters on arduino, design and develop Infinite Impulse Response (IIR) filters on arduino, develop Windowed-Sinc filters on arduino, build Modified Sallen-Key filters, build Bessel, Chebyshev and Butterworth filters, develop the Fast Fourier Transform (FFT) algorithm on arduino, even give a lecture on DSP and so much more. Please take a look at the full course curriculum.
