Introduction to Digital Signal Processing - Rahsoft RAHDG489

Become an expert in DSP foundations from Discrete Fourier Transform, Z-Transform to Quantization, Signal Sampling & more

What you'll learn
Signal Sampling
Quantization
Digital Signals and Systems
Discrete Fourier Transform
Signal Spectrum
Z-Transform

Requirements
Calculus
Basic Electrical Circuit and signals and Systems knowledge

Description
DescriptionIn RAHDG 489 we’ll Focus on applying formulas to digital signals then we Analyze their characteristics and behaviors. It includes Design and analysis of Processing signals. Number of digital designs have been solved to make you understand them better.This course describes the different signal transforms such as Fourier transform, Fourier Series, Z-Transform, and signal windowing. The design and analysis of digital signal processing. Each topic will have many examples which goes over them briefly with different parts. By end of each chapter there will be a quiz for you to test your understanding of that specific chapter.Core subject of this course is digital signal processing. Topics include sampling, reconstructing signal, differential equation, Fourier Transform and Z-Transform. By end of the course, you should be able to know how to reconstruct the signals, convert analog to digital and opposite signals and how to produce digital signals.This course is mostly for academic level Engineering students in different universities around the world.Since you would be having a lifetime access to this course you would be able to revisit during your career as year passes to refresh your memory.InstructorThe instructor of this course is Mehrad Nahouri. He has an Associates in Electrical Engineering concentration on digital field and is a lecturer at Rahsoft.What is the target audience?This course is for students working in the digital field.Undergraduate studentsElectrical EngineerComputer EngineerGraduate students taking DSP courseResearchers in DSP fieldCourse contentIntroductionSignal SamplingQuantizationDigital Signals and SystemsDiscrete Fourier TransformSignal SpectrumZ-TransformWho this course is for:Electrical EngineersComputer EngineersElectrical Engineering StudentsComputer Engineering Students

Overview
Section 1: Introduction

Lecture 1 course review

Lecture 2 course summary

Lecture 3 DSP impact

Lecture 4 block diagrams

Lecture 5 processing signals in analog

Lecture 6 DSP feature

Lecture 7 digital filtering

Lecture 8 ECG signals

Lecture 9 frequency impact

Lecture 10 example of speech audio signal

Lecture 11 real uses od DSP

Section 2: Getting familiar with Quartus

Lecture 12 continuous data collection

Lecture 13 storing analog signals

Lecture 14 holding the zero level

Lecture 15 collecting frequency

Lecture 16 condition of 90 hz frequency

Lecture 17 using a down pass filter

Lecture 18 DAQ

Lecture 19 dining the equivalent circuit with calculations

Lecture 20 multiplying PFT

Lecture 21 multiplying PFT

Lecture 22 triangle pulse

Lecture 23 main spectrum and it's copy

Lecture 24 condition of fs<2b

Lecture 25 Shannon sampling theorem

Lecture 26 analog signal resolution

Lecture 27 relation of rf and r

Lecture 28 lather DAC

Lecture 29 only d2 as logic 1

Lecture 30 writing the binary code

Lecture 31 finding overall relation

Lecture 32 analog to digital converter

Lecture 33 2 bit quantization

Section 3: Starting to design modules

Lecture 34 digital signals

Lecture 35 decimal presenting of digital signals

Lecture 36 some important digital signals

Lecture 37 triangular casual digital signals

Lecture 38 casual view digital signals

Lecture 39 digital signal example

Lecture 40 simulating the signals in MATLAB

Lecture 41 producing digital signals

Lecture 42 view digital signal example

Lecture 43 simulating view digital signal in MATLAB

Lecture 44 continuous signal example

Lecture 45 simulating continuous signal diagram in MATLAB

Lecture 46 linearity

Lecture 47 multiplier

Lecture 48 proving the non linearity

Lecture 49 unchangeable system with time

Lecture 50 solving a 5 unit delay system

Lecture 51 changeable with time system

Lecture 52 casual digital systems

Lecture 53 differential equation systems

Lecture 54 linear complex of input and output

Lecture 55 solving equation recursively

Lecture 56 impact response

Lecture 57 finding relation for a desired input

Lecture 58 convolution digital

Lecture 59 convolution sign

Section 4: Designing Registers

Lecture 60 chapter summary

Lecture 61 continuous Fourier series

Lecture 62 converting signal to a better frequency

Lecture 63 transferring to frequency field

Lecture 64 continuous Fourier series

Lecture 65 continuous Fourier series example

Lecture 66 simulating continuous Fourier series

Lecture 67 discrete Fourier series

Lecture 68 discrete Fourier series

Lecture 69 alternating discrete Fourier series

Lecture 70 continuous signal example

Lecture 71 Fourier transform

Lecture 72 Fourier transform benefits

Lecture 73 continuous time example

Lecture 74 discrete Fourier transform

Lecture 75 frequency response

Lecture 76 discrete time Fourier transform

Lecture 77 proving formulas

Lecture 78 discrete Fourier transform example

Lecture 79 DFT

Lecture 80 DFT example

Lecture 81 reverse Fourier transform

Lecture 82 simulating Fourier transform in MATLAB

Lecture 83 Fast Fourier transform

Lecture 84 reverse Fast Fourier transform

Lecture 85 simulation of FFT in MATLAB

Lecture 86 windowing signals

Lecture 87 windowing types

Lecture 88 windowing in MATLAB

Section 5: FBD

Lecture 89 course summary

Lecture 90 z-transform

Lecture 91 mixed plane

Lecture 92 single step method

Lecture 93 geometrical series

Lecture 94 polar signal z-transform

Lecture 95 sinusoidal signal z-transform

Lecture 96 z-transform table

Lecture 97 triangular z-transform table

Lecture 98 z-transform benefits

Lecture 99 z-transform example

Lecture 100 proving z-transform feature

Lecture 101 z-transform conversion

Lecture 102 proving z-transform feature

Lecture 103 initial value theorem

Lecture 104 final value theorem

Lecture 105 final value theorem example

Lecture 106 polar function

Lecture 107 frequency derivative

Lecture 108 symmetrical time and conjugate

Lecture 109 other z-transform features

Lecture 110 z-transform example

Lecture 111 single side z-transform

Lecture 112 inverse z-transform

Lecture 113 inverse z-transform example

Lecture 114 finding different terms of x(n)

Lecture 115 inverse z-transform example

Lecture 116 converting to minor fraction

Lecture 117 first and second condition of poles

Lecture 118 mixed poles condition

Lecture 119 z-transform of basic function

Lecture 120 inverse z-transform example

Lecture 121 inverse z-transform example

Lecture 122 mixed integral

Lecture 123 inverse z-transform example

Lecture 124 inverse z-transform example

Lecture 125 loran method

Lecture 126 solving differential equations method

Lecture 127 proving casual signal

Lecture 128 delays towards back and front

Lecture 129 2 side z-transform

Lecture 130 inverse 2 side z-transform

Lecture 131 2 side z-transform example

Lecture 132 convergent district

This course is for students working in the digital field.,Graduate students taking DSP course,Researchers in DSP field,Electrical Engineers,Computer Engineers,Electrical Engineering Students,Computer Engineering Students

without You and Your Support We Can’t Continue
Thanks for Buying Premium From My Links for Support
Click >>here & Visit My Blog Daily for More Udemy Tutorial. If You Need Update or Links Dead Don't Wait Just Pm Me or Leave Comment at This Post