Digital Signal Processing

开始时间: 04/22/2022 持续时间: 10 weeks

所在平台: CourseraArchive

课程类别: 工程

大学或机构: École Polytechnique Fédérale de Lausanne(洛桑联邦理工学院)

授课老师: Paolo Prandoni Martin Vetterli



第一个写评论        关注课程


The goal of the course is to develop a complete working set of digital signal processing notions from the ground up. DSP is arguably at the heart of the “digital revolution” that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of information availability.

In the class, starting from the basic definitions 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.


Broad outline of the topics covered in the class: 

  1. Introduction: What is signal processing, history of the topic, application examples.
  2. Discrete-time (DT) signals: the discrete-time complex exponential, and a computer music synthesis example.
  3. Euclid and Hilbert: Signal processing as geometry, vectors spaces, bases, approximations.
  4. Fourier Analysis: The discrete Fourier transform (DFT) and series (DFS). The discrete-time Fourier transform (DTFT). Examples. The fast Fourier transform algorithm (FFT).
  5. Linear Filters: Linear time-invariant systems, convolution, ideal and realizable filters. Filter design and implementation, examples.
  6. Interpolation and Sampling: Continuous-time (CT) signals, interpolation, sampling. The sampling theorem as orthonormal basis expansion. Processing of CT signals in DT.
  7. Stochastic Signal Processing and Quantization: Stochastic signals, quantization, analog-to-digital (ADC) and digital-to-analog (DAC) conversion.
  8. Image Processing: Introduction to image processing and two-dimensional (2D) Fourier analysis. Filtering and compression. The JPEG compression standard.
  9. Digital Communication Systems: Analog channels and bandwidth/power constraints. Modulation and demodulation. Transmitter and receiver design. ADSL.



Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun.


DSP 数字信号处理 信号处理 信号处理入门 数字信号处理入门 数字信号处理基础 信号处理基础 数字信号处理理论 傅立叶分析 傅立叶变换 EPFL 洛桑联邦理工学院



Fundamentals of Electrical Engineering 关注

Fundamentals of Digital Image and Video Processing 关注


Introduction to Power Electronics 关注


Cryptography II 关注

Web Intelligence and Big Data 关注

Introduction to Computational Finance and Financial Econometrics 关注

Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics 关注

Linear and Integer Programming 关注