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# 数字信号处理

## Digital Signal Processing

5270 次查看

Coursera
• 完成时间大约为 32 个小时
• 中级
• 英语

### 你将学到什么

Signal Processing

Discrete Fourier Transform

Data Transmission

Ipython

Fourier Analysis

Convolution

Linear Algebra

Digital Signal Processing

### 课程概况

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.

### 课程大纲

1、引言：什么是信号处理？它的历史以及应用实例。
2、离散时间（DT）信号：离散时间复指数，及计算机音乐合成实例。

3、傅里叶分析：离散傅里叶变换（DFT）和级数（DFS），离散时间傅里叶变换（DTFT），实例，快速傅里叶变换算法（FFT）。
4、线性滤波器：线性时间不变性系统、卷积、理想和现实滤波器。滤波器设计与实现，实例。
5、内插和采样：连续时间（CT）信号、内插、采样。采样定理为标准正交基的扩充。DT中CT信号处理。

6、图像处理：图像处理简介，平面（2D）图形处理傅里叶分析，过滤和压缩，JPEG压缩标准。

### 常见问题

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