Signals And Systems - That Will Break Your Fear

[LeeAndro]

Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 7.39 GBGenre: eLearning Video | Duration: 35 lectures (5 hour, 43 mins) | Language: English

What you'll learn

Understand continuous- signals and discrete- signals and their classification.

Basic Signal Operations: Addition, Subtraction, Shifting, Scaling, Reversal
Understand System properties – importance of superposition in the analysis of Linear system, invariance , presence or absence of memory, Causality, bounded-input bounded-output Stability and Invertibility
Will be able explain the role of convolution in the analysis of linear invariant systems, and use convolution to detee the response of linear systems
Understand and resolve the signals in frequency domain using Fourier series and Fourier transforms
Be able to use the properties of the Fourier transforms to compute the Fourier transform and its inverse for a broader class of signals
Understand the relationship between the stability and causality of systems and the region of convergence of their Laplace transforms
Use Laplace transforms to solve differential equations, and to detee the response of linear systems to known inputs
Apply the Z- transform for analyze of discrete- signals and systems

Requirements

Basic mathematical knowledge

Description

DO YOU WANT TO LEARN FROM BASICS

DO YOU WANT TO LEARN MORE NUMERICALS

DO YOU WANT TO ANALYZE CONCEPTS WITH BEAUTIFUL EXAMPLE PROBLEMS

DO YOU WANT TO CHECK HOW MUCH CONTENT YOU HAVE GRASPED AFTER EACH LECTURE

DO YOU WANT TO PRACTICE MORE ASSIGNMENTS

DO YOU WANT TO SOLVE QUIZ QUESTIONS AFTER LEARNING EVERY TOPIC

THEN MY DEAR STUDENTS THIS COURSE IS THE ONE STOP SOLUTION FOR ALL THE ABOVE QUESTIONS.

"Signals and systems" is the basis of all control and signal processing eeering. It will allow you to take a real world machine, process (the system) and create a mathematical model, at which we apply stimuli and analyze it's response (stimuli and response being signals).

Examples of systems that manipulate signals are speech recognition, video streaming, cellular networks and medical scans such as MRI. The disciplines of signal and image processing are concerned with the analysis and synthesis of signals and their interaction with systems.

Students will

Be able to describe signals mathematically

Understand mathematical description and representation of continuous and discrete signals

Be familiar with commonly used signals such as the unit step, ramp, impulse function, sinusoidal signals and complex exponential

Understand how to perform mathematical operations on signals

Be able to classify signals as continuous- Vs. discrete-, periodic Vs. non-periodic, energy signal Vs. power signal, odd Vs. even, causal Vs. non- causal signals

Understand system properties - linearity, in variance, presence or absence of memory, causality, bounded-input bounded-output stability and invertibility

Be able to perform the process of convolution between signals and understand its implication for analysis of linear -invariant systems. Understand the notion of an impulse response

Development of the mathematical skills to solve problems involving convolution

Understand and resolve the signals in frequency domain using Fourier series and Fourier transforms Further, be able to use the properties of the Fourier transform to compute the Fourier transform (and its inverse) for a broader class of signals

Understand the limitations of Fourier transform and need for Laplace transform and develop the ability to analyze the system in s- domain

Apply the Laplace transform and Z- transform for analyze of continuous- and discrete- signals and system

Who this course is for

GATE, ESE aspirants
Under Graduate students
Students preparing for Competitive exams
Any student enthusiastic to learn fundamental subject for Communication Eeering
Further useful in subjects like Control systems, Signal Processing and Robotics





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