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所在平台: Udemy |
课程主页: https://www.udemy.com/course/digital-signal-processing-with-matlab-u/
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课程名称：MATLAB 数字信号处理 课程概述：欢迎参加“使用MATLAB进行数字信号处理：从基础到应用”这门综合性的实用课程，旨在为您提供扎实的数字信号处理（DSP）基础，适合工程学生、研究人员或行业专业人士。本课程通过MATLAB编码和仿真，采用实践导向的方式，让您理解和应用DSP概念。 在课程开始时，您将学习DSP的基本原理，包括离散时间信号、系统以及傅里叶分析的核心原理。我们将探讨离散傅里叶变换（DFT）、快速傅里叶变换（FFT）及其在实际中的应用，从而帮助您在时间和频率域中分析和处理信号。 您将深入学习IIR和FIR滤波器的设计与实现，了解滤波器的实现方式，并获得多速率信号处理技术（如抽取和插值）的实践经验。通过逐步的MATLAB示例，您不仅能理解理论概念，还能将其应用于实际问题，如音频处理、生物医学信号分析和通信等。 完成该课程后，您将具备在MATLAB中设计滤波器、分析信号和实现DSP算法的实用技能。不论您是希望提升学术知识还是发展专业技能，本课程都将为您提供在各个领域应用DSP所需的工具。
Welcome to Digital Signal Processing with MATLAB: From Basics to Applications - a comprehensive and practical course designed to provide you with a solid foundation in digital signal processing (DSP) using MATLAB. Whether you're an engineering student, a researcher, or an industry professional, this course offers a hands-on approach to understanding and applying DSP concepts through MATLAB coding and simulations.In this course, you will start by learning the fundamentals of DSP, including discrete-time signals, systems, and the core principles behind Fourier analysis. We'll explore Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), and their real-world applications, allowing you to analyze and process signals in both the time and frequency domains.You'll dive into the design and implementation of IIR and FIR filters, learn about filter realizations, and gain practical experience in multirate signal processing techniques like decimation and interpolation. Through step-by-step MATLAB examples, you will not only grasp theoretical concepts but also apply them to real-world problems, such as audio processing, biomedical signal analysis, and communications.By the end of this course, you will have the practical skills to design filters, analyze signals, and implement DSP algorithms in MATLAB. Whether you are looking to advance your academic knowledge or develop professional expertise, this course will equip you with the tools needed to apply DSP in various domains.
