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所在平台: Udemy |
课程主页: https://www.udemy.com/course/fourier-transform-mxc/
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课程名称：掌握傅里叶变换及其应用 课程概述：傅里叶变换是信号处理和现代技术中的重要运算，也是现代人类文明的基础之一。本课程将深入探讨傅里叶变换的工作原理及其背后的原因。课程内容包括傅里叶变换的理论和计算基础，重点关注其在信号处理、数据分析和图像滤波中的现代应用。除了基础知识，课程还覆盖了高级主题，如非平稳性、频谱分辨率、归一化和过滤等。所有视频都附有MATLAB和Python代码，供学习和修改使用。 本课程侧重于在计算机上的傅里叶变换实现，尤其是在数字信号处理（1D）和图像处理（2D）中的应用。不详细讨论设置和解决积分问题以获得解析解，因此本课程更侧重于计算机科学/数据科学/工程方面，而非纯数学/微分方程/无穷级数方面。 目标受众：本课程适合有志或已经从事以下领域的学习者： - 数据科学家 - 统计学家 - 计算机科学家（使用MATLAB和/或Python） - 信号处理或图像处理专家（或有志成为专家） - 生物学家 - 工程师 - 学生 - 独立学习者 课程内容包括： - 超过6小时的视频讲座，包含解释、图片和图表 - PDF读物，提供重要的笔记和解释 - 许多练习及其解决方案（练习在PDF读物中） - MATLAB代码、Python代码和用于应用的示例数据集 本课程提供超过3000行的MATLAB和Python代码，是提高编程技能的良好机会，尤其是在信号处理和图像处理的背景下。 讲师资格：讲师在研究和教学中广泛使用傅里叶变换近二十年，已撰写多本关于数据分析、编程和统计的教材，深度依赖傅里叶变换。他曾授课于本科生、博士生、教授和专业人士，涵盖生物学、心理学、物理学、数学和工程等多个背景。 课程介绍视频和学生评价可供参考，期待在课程中见到您！
The Fourier transform is one of the most important operations in signal processing and modern technology, and therefore in modern human civilization. But how does it work, and why does it work? What you will learn in this course:You will learn the theoretical and computational bases of the Fourier transform, with a strong focus on how the Fourier transform is used in modern applications in signal processing, data analysis, and image filtering. The course covers not only the basics, but also advanced topics including effects of non-stationarities, spectral resolution, normalization, filtering. All videos come with MATLAB and Python code for you to learn from and adapt!This course is focused on implementations of the Fourier transform on computers, and applications in digital signal processing (1D) and image processing (2D). I don't go into detail about setting up and solving integration problems to obtain analytical solutions. Thus, this course is more on the computer science/data science/engineering side of things, rather than on the pure mathematics/differential equations/infinite series side.This course is for you if you are an aspiring or established:Data scientistStatisticianComputer scientist (MATLAB and/or Python)Signal processing or image processing expert (or aspiring!)BiologistEngineerStudentCurious independent learner!What you get in this course:>6 hours of video lectures that include explanations, pictures, and diagramspdf readers with important notes and explanationsMany exercises and their solutions! (Note: exercises are in the pdf readers)MATLAB code, Python code, and sample datasets for applicationsWith >3000 lines of MATLAB and Python code, this course is also a great way to improve your programming skills, particularly in the context of signal processing and image processing.Why I am qualified to teach this course:I have been using the Fourier transform extensively in my research and teaching (primarily in MATLAB) for nearly two decades. I have written several textbooks about data analysis, programming, and statistics, that rely extensively on the Fourier transform. Most importantly: I have taught the Fourier transform to bachelor's students, PhD students, professors, and professionals, and I have taught to people from many backgrounds, including biology, psychology, physics, mathematics, and engineering.So what are you waiting for??Watch the course introductory video to learn more about the contents of this course and about my teaching style. And scroll down to see what other students think of this course and of my teaching style.I hope to see you soon in the course!Mike
