Free Download Digital Signal Processing Techniques and Applications (2024)
Published 2/2024
Created by Benny Bing
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 Lectures ( 3h 55m ) | Size: 1.47 GB
A Comprehensive Guide to Key Design Algorithms
What you'll learn:
Review DSP system architecture and applications
Analyze and model discrete-time LTI system
Learn the principles of sampling, anti-aliasing, quantization techniques and multi-rate signal processing
Apply discrete Fourier and fast Fourier transforms
Review z-transform and digital filtering
Understand FIR, IIR, resampling, and adaptive filter design
Study DSP hardware and software
Requirements:
A signals and systems background
Description:
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, 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, and noise cancellation. 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 Highlights
iscrete-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, and Polyphase Filter BanksSubband Coding and Least Mean Square (LMS) Noise CancellationDSP Hardware and SoftwareThe 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.Who this course is for:
Any DSP engineer
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