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Digital Signal Processing (Dsp)

Posted By: ELK1nG
Digital Signal Processing (Dsp)

Digital Signal Processing (Dsp)
Last updated 9/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.09 GB | Duration: 6h 42m

Learn DSP concepts- Sampling, Filtering, Interpolation, Fourier Theory, Digital Formats, Image, Audio, Video Compression

What you'll learn
Learn Digital Signal Processing (DSP) concepts in detail
Understand Sampling, Filtering, Interpolation, Decimation processes
Learn the latest compression techniques for Images, Audio, Video
Gain command over Fourier Theory and its application
Understand the technology behind Manipulation of Sound using DSP
Develop a simple Application using DSP
Explain Digital Design for Testability purposes
Requirements
Enthusiasm and determination to make your mark on the world!
Description
A warm welcome to the Digital Signal Processing (DSP) course by Uplatz.Digital Signal Processing (DSP) includes evolving protocols and algorithms that can be used to improve a signal in a particular way or extract some useful information from it. Digital Signal Processing is an important branch of Electronics and Telecommunication engineering that deals with the managing of consistency and accuracy of the digital communication by employing multiple techniques. Digital circuits do not suffer from the much limitations. While variations in the section values can slightly change the delay of a CMOS inverter gate, the complete functionality of the gate will be retained. Unlike analog circuits, digital circuits are less vulnerable to component variations. Digital circuits are also more flexible and suited for implementing mathematical functions.DSP systems executed in either hardware or software programmable DSP processors are categorized by common characteristics. First, data flow/real-time computing corresponds to its analog counterpart in that an output signal is a convolution of an input signal and the impulse response of a given analog linear time-invariant (LTI) system. The convolution is assumed to take infinitesimal time to compute. Because of these DSP common characteristics, many DSP algorithms can be suitably conveyed into the form of nested Do-loops perhaps with an infinite loop bound.Uplatz offers this end-to-end course on DSP. This Digital Signal Processing course introduces the basic concepts and principles underlying discrete-time signal processing. Concepts will be shown using cases of standard technologies and algorithms. This DSP course also explains the digital signal processing (DSP) system general model and the various functions that it performs. It accepts an analog signal as an input and converts this analog signal to numbers. It also performs computations using the numbers and converts the results of the computations into an analog signal. This DSP course covers extensive explanation of Digital Signal Processing concepts, design for testability, demonstration of a practical DSP application, manipulation of sound using DSP, sampling & filtering, filter realization & implementation, interpolation, decimation, and the like. This DSP training will help you learn modern techniques of image, audio & video compression and will make you aware of the different digital formats.Digital Signal Processing (DSP) - Course CurriculumIntroduction to DSPNeed for Design for TestabilitySimple Application of DSPManipulation of Sound using DSPSampling & FilteringFilter RealizationFilter ImplementationInterpolation and DecimationFourier TheoryDigital FormatsAudio CompressionImage and Video Compression

Overview

Section 1: Introduction to DSP

Lecture 1 Introduction to DSP - part 1

Lecture 2 Introduction to DSP - part 2

Section 2: Need for Design for Testability

Lecture 3 Need for Design for Testability

Section 3: Simple Application of DSP

Lecture 4 Simple Application of DSP

Section 4: Manipulation of Sound using DSP

Lecture 5 Manipulation of Sound using DSP

Section 5: Sampling & Filtering

Lecture 6 Sampling & Filtering - part 1

Lecture 7 Sampling & Filtering - part 2

Section 6: Filter Realization

Lecture 8 Filter Realization

Section 7: Filter Implementation

Lecture 9 Filter Implementation

Section 8: Interpolation & Decimation

Lecture 10 Interpolation & Decimation

Section 9: Fourier Theory

Lecture 11 Fourier Theory

Section 10: Digital Formats & Audio Compression

Lecture 12 Digital Formats & Audio Compression

Section 11: Image and Video Compression

Lecture 13 Image and Video Compression

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