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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/dsp2
课程评论：没有评论
课程名称：数字信号处理2：过滤 课程概述：数字信号处理（DSP）是工程学的一个分支，近年来在个人通信和按需娱乐方面取得了前所未有的进展。通过将电子学、电信和计算机科学的原理重构为一个统一的范式，DSP成为数字革命的核心，推动了CD、DVD、MP3播放器、手机等无数设备的发展。本课程的目标是让学生从基础开始学习数字信号处理的基本原理。从离散时间信号的基本定义入手，我们将逐步深入傅里叶分析、滤波器设计、采样、插值和量化，构建一个足够完整的DSP工具集，以便深入分析实际通信系统。课程将定期使用实操示例和演示，以缩小理论与实践之间的差距。 为了使您充分利用这门课程，建议您具备基本的微积分和线性代数知识；课程中将提供多个编程示例，使用Python笔记本，但您也可以使用您喜欢的编程语言测试课程中描述的算法。 课程大纲： 模块2.1：数字滤波器 描述：了解数字滤波器在时域和频域中的工作原理。 模块2.2：滤波器设计 描述：学习如何使用z变换和数值工具选择和设计合适的滤波器。 模块2.3：随机和自适应信号处理 描述：分析和处理随机信号，并设计能够适应未知输入的滤波器。
Name: Module 2.1 Digital Filters
Description:How digital filters work in time and in frequency.
Name:Module 2.2: Filter Design
Description:Learning how to choose and design the right filter using the z-transform and numerical tools.
Name:Module 2.3: Stochastic and Adaptive Signal Processing
Description:Analyzing and processing random signals and designing filters that adapt to unknown inputs.
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice. To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course.
