Digital Signal Processing Techniques and Applications

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**Coursera 课程总结:数字信号处理技术与应用** 本课程旨在为学员提供理解、规范和设计数字信号处理(DSP)系统所需的实践知识。DSP 已成为电子、计算机、通信、传感、成像和生物医学工程等众多工程学科不可或缺的一部分,是媒体处理的核心,支持高质量数字音频和视频的流式传输与存储。 课程内容涵盖广泛,包括: * 离散时间线性时不变系统和离散卷积 * 采样、量化、抗混叠和多速率信号处理 * Z 变换和数字滤波 * 离散傅里叶变换和快速傅里叶变换(FFT) * IIR、FIR、重采样、自适应滤波器、多相滤波器组和子带滤波器组 * 最小均方(LMS)降噪技术 * DSP 硬件与软件 * Delta-Sigma 调制器和量化噪声整形 * 基于 FPGA 的流水线 FFT 实现 课程通过超过 220 页的幻灯片,结合设计实例、实际应用和 MATLAB 演示,帮助学员深入理解信号处理的数学基础。课程适合需要掌握数字信号处理领域基本技术的硬件工程师、软件工程师以及科学家。 授课讲师在媒体技术创新方面享有盛誉,曾获美国广播电视协会技术创新奖和欧洲交互电视重大挑战赛一等奖。他曾担任 IEEE 通信学会杰出讲师,在全球范围内进行了 10 场特邀讲座,并拥有 6 项已授权给工业界的美国专利。

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Gain practical knowledge required for understanding, specifying, and designing DSP systems. Digital signal processors have become indispensable in many engineering disciplines, including electronics, computer, communications, sensing, imaging, and biomedical engineering. They form the workhorse of media processing, allowing the streaming and storage of high-quality digital audio and video. Using over 220 informative slides, this course will cover the spectral analysis of discrete-time signals and systems, sampling, IIR/FIR/resampling/adaptive digital filter design and implementation, polyphase filter banks, discrete Fourier and cosine transforms, FFT algorithms, subband coding, noise cancellation, delta-sigma modulators and quantization noise shaping, and pipelined FFT Implementation using FPGA. A practical understanding of the mathematical basis of signal processing is developed through design examples, applications, and Matlab demonstrations. The course is geared toward interested hardware and software engineers, and scientists who need to know the fundamental techniques used in the rapidly expanding field of digital signal processing.Course HighlightsDiscrete-time LTI Systems and Discrete ConvolutionSampling, Quantization, Anti-Aliasing, and Multi-Rate Signal ProcessingZ-transform and Digital FilteringDiscrete Fourier Transforms and FFTIIR, FIR, Resampling, Adaptive Filers, Polyphase and Subband Filter BanksLeast Mean Square (LMS) Noise CancellationDSP Hardware and SoftwareDelta-Sigma Modulators and Quantization Noise ShapingPipelined FFT Implementation using FPGAThe instructor received the National Association of Broadcasters Technology Innovation Award for demonstrations of advanced media technologies and the European Interactive TV grand challenge first prize. He has served as an IEEE Communications Society Distinguished Lecturer with 10 invited lectures worldwide and has developed 6 U.S. patents that were licensed to industry.

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