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wzyer 2013-05-17 09:02 0 票支持; 0 票反对
课程本身还不错，教授满头白发也很让人尊敬。不过，内流满面的说，他讲的太快了……一门导论课，他从电路基础讲到通信技术，内容很多，速度很快，想深入理解的话课下还得花不少时间……我就那么囫囵吞枣的过了。作业和考试评分系统也经常有点bug啥的。 |
开始时间: 04/22/2022 持续时间: 12 weeks
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所在平台: CourseraArchive 课程类别: 工程 大学或机构: Rice University（莱斯大学） 授课老师： Don H. Johnson |
课程主页: https://www.coursera.org/course/eefun
课程评论: 1 个评论
Elements of signal and system theory
Week 1: Digital and analog information; block diagrams: sources, systems, sinks. Simple signals and systems. Complex numbers.
Analog Signal Processing
Weeks 2-3: Representation of signals by electrical quantities (electric currents and electromagnetic radiation). Elementary circuit theory: resistors and sources, KVL and KCL, power, equivalent circuits. Circuits with memory: impedance, transfer functions, Thévenin and Mayer-Norton equivalent circuits.
Frequency Domain Ideas
Weeks 4-5: Fourier series and Fourier transforms. Signals in time and frequency domains. Encoding information in the frequency domain. Filtering signals. Modeling the speech signal.
Digital Signal Processing
Weeks 6-8: Analog-to-digital (A/D) conversion: Sampling Theorem, amplitude quantization, data rate. Discrete-time signals and systems. Discrete-time Fourier transform, discrete Fourier transform and the fast Fourier transform. Digital implementation of analog filtering.
Communicating information
Weeks 9-10: Fundamentals of communication: channel models, wireline and wireless channels. Analog (AM) communication: modulation and demodulation, noise (signal-to-noise ratio, white noise models), linear filters for noise reduction.
Weeks 11-12: Digital communication: binary signal sets, digital channel models. Entropy and Shannon's Source Coding Theorem: lossless and lossy compression; redundancy. Error-correcting codes: Shannon’s Noisy Channel Coding Theorem, channel capacity, Hamming codes. Comparison of analog and digital communication.
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wzyer 2013-05-17 09:02 0 票支持; 0 票反对
课程本身还不错，教授满头白发也很让人尊敬。不过，内流满面的说，他讲的太快了……一门导论课，他从电路基础讲到通信技术，内容很多，速度很快，想深入理解的话课下还得花不少时间……我就那么囫囵吞枣的过了。作业和考试评分系统也经常有点bug啥的。 |
This course probes fundamental ideas in electrical engineering, seeking to understand how electrical signals convey information, how bits can represent smooth signals like music and how modern communication systems work.
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