MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 204 lectures (21h 24m) | Size: 9.74 GB

Signals, Systems, Fourier Series, Fourier Transform, Laplace Transform, Z Transform and Sampling Theorem

What you'll learn:
You learn about signals and systems representations / classifications.
Also you learn about the time and frequency domain analysis of continuous time signals with Fourier series, Fourier transforms, Z-Transform and Laplace Transform
Also you learn about Sampling Theorem

Requirements
Basic math

Description
Signals and Systems is an introduction to analog and digital signal processing , a topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, defense electronics, consumer electronics, and consumer products .

The course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. Signal and system representations are developed for both time and frequency domains. These representations are related through the Fourier transform, Fourier Series, Laplace Transform and Z-Transform which are explored in detail.

Who this course is for
University Students
GATE EC, EE, IN students



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