Digital Signal Processing

开始时间: 04/22/2022 持续时间: Unknown

所在平台: CourseraArchive

课程类别: 计算机科学

大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/dsp

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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.

数字信号处理:数字信号处理是工程的一个分支,在短短几十年的时间里,它实现了前所未有的人际交流和点播娱乐。通过将电子,电信和计算机科学的原理改造成一个统一的范例,DSP成为了数字革命的心脏,它为我们带来了CD,DVD,MP3播放器,移动电话和无数其他设备。 对于本课程的学生,目标是从头开始学习数字信号处理的基础知识。从离散时间信号的基本定义开始,我们将通过傅里叶分析,滤波器设计,采样,内插和量化工作,以构建一个足以完成详细分析实际通信系统的DSP工具集。通常会使用动手实例和演示来弥合理论与实践之间的鸿沟。 为了充分利用这门课程,建议您精通基本演算和线性代数。将以Python笔记本的形式提供几个编程示例,但是您可以使用自己喜欢的编程语言来测试本课程中描述的算法。

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Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has

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数字信号处理

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