Digital Signal Processing 4: Applications

所在平台: Coursera

课程主页: https://www.coursera.org/learn/dsp4

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课程简介

课程名称:数字信号处理 4:应用 课程概述:数字信号处理(DSP)是工程学的一个分支,在短短几十年内,使人际沟通和按需娱乐达到了前所未有的水平。通过将电子学、通信学和计算机科学的原理重新整合,DSP成为了数字革命的核心,催生了CD、DVD、MP3播放器、手机以及无数其他设备。 本课程的目标是让学生从零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出发,我们将逐步探索傅里叶分析、滤波器设计、采样、插值和量化,最终建立起一个足够完整的DSP工具集,以便详细分析实际通信系统。课程中将定期使用实践案例和演示,以缩短理论与实践之间的距离。 为了充分利用此课程,建议学习者具备基本的微积分和线性代数知识;课程中将提供几个编程示例,使用Python笔记本进行演示,但学员也可以使用自己熟悉的编程语言来测试课程中描述的算法。 课程大纲: 1. 图像处理 - 描述:图像处理及JPEG压缩标准 2. 数字通信与ADSL - 描述:数字通信系统:语音带调制解调器和ADSL 3. 实时音频信号处理 - 描述:在Nucleo微控制器上进行实时音频信号处理 通过本课程,您将掌握数字信号处理的基础知识,并能够将理论应用于实践中。

课程大纲

Name:IMAGE PROCESSING

Description:Image processing and the JPEG compression standard

Name:DIGITAL COMMUNICATIONS AND ADSL

Description:Digital communication systems: voiceband modems and ADSL

Name:MODULE 4.3: REAL-TIME AUDIO SIGNAL PROCESSING

Description:Real-time audio signal processing on a Nucleo microcontroller

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课程详情

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.

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