Signal and Systems (EC-4002) - B.E RGPV CBCS & CBGS Scheme Notes
Signal and Systems (EC-4002)
 RGPV notes CBGS Bachelor of engineering

rgpv bhopal, diploma, rgpv syllabus, rgpv time table, how to get transcript from rgpv, rgpvonline,rgpv question paper, rgpv online question paper, rgpv admit card, rgpv papers, rgpv scheme

RGPV notes CBGS Bachelor of engineering

COURSE OBJECTIVE:

The focus of this course is to introduce you to the fundamental concepts and tools used in both analogue and digital signal processing (ASP and DSP) which are areas of interest if you are studying any program relating to electronic, communication and/or computer engineering


Syllabus

UNIT 1:
Overview of signals: Basic definitions. Classification of signals, Continuous and discrete time signals, Signal operations and properties, discretization of continuous time signals, Signal sampling and quantization.
Continuous Time and DiscreteTimeSystem characterization: Basic system properties: Linearity, Static and dynamic, stability and causality, time invariant and variant system, invertible and non-invertible, representation of continuous systems.
Response of Continuous Time–LTI System:Impulse response and convolution integral, properties of convolution, signal responses to CT-LTI system.

UNIT 2:
z-Transform: Introduction, ROC of finite duration sequence, ROC of infinite duration sequence, Relation between Discrete time Fourier Transform and z-transform, properties of the ROC, Properties of z-transform, Inverse z-Transform, Analysis of discrete time LTI system using zTransform, Unilateral z-Transform

UNIT 3:
Discrete Time System: Impulse response characterization and convolution sum, Causal signal response to DT-LTI systems. Properties of convolution summation, Impulse response of DT-LTI system and its properties.

UNIT 4:
Fourier analysis of discrete time signals: Introduction, Properties and application of discrete time Fourier series, Representation of Aperiodic signals, Fourier transform and its properties, Convergence of discrete time Fourier transform, Fourier Transform for periodic signals, Applications of DTFT

UNIT 5:
Systems with Finite and infinite duration response: Recursive and non-recursive discrete time systems-realization structures-direct form-I, direct form-II, Transpose, cascade and parallel forms, state space analysis: Representation and solution for continuous and discrete time LTI system.


NOTES


COURSE OUTPUT:

As an outcome of completing this course, students should be able to
1. Understand the terminology of signals and basic engineering systems.
2. Understand the role of signals and systems in engineering design and society.
3. Understand signal representation techniques and signal characteristics.
4. Understand the difference and the applications of analog versus discrete signals and the conversion between them.
5. Understand the process of sampling &Fouriertransforms.


TEXT BOOKS

1. Allan V.Oppenheim, S.Wilsky and S.H.Nawab, Signals and Systems, PearsonEducation.
2. A. Anandkumar signal and system 3rdEdition, PHI.
3. http://www.nptelvideos.in/2012/11/estimation-of-signals-and-systems.html


REFERENCES:

1. Edward W. Kamen & Bonnie’s Heck, “Fundamentals of Signals and Systems”, Pearson Education.
2. H. P. Hsu, RakeshRanjan “Signals and Systems”, Schaum’s Outlines, Tata McGrawHill.
3. Simon Haykins and Barry Van Veen: Signals and Systems, John Wiley & sons.
4. Rawat: Signal and Systems, Oxford Publication.
5. Nagoorkani: signal and system (TMH).
6. Iyer: signal and system, Cengage learning.
7. Gabel, Roberts, “Signals and Linear Systems” Wiley India Pvt. Ltd, 2012.
8. Rao: Signal and system (TMH).


List of Experiments:

Introduction to MATLAB
1. To implement delta function, unit step function, Ramp function.
2. To explore the commutation of even and odd symmetries in a signal with algebraic operations.
3. To explore the effect of transformation of signal parameters (amplitude-scaling, timescaling and time-shifting).
4. To explore the time variance and time invariance property of a given system.
5. To explore causality and non-causality property of a system.
6. To demonstrate the convolution and correlation of two continuous-time signals.
7. To demonstrate the convolution and correlation of two discrete-time signals.
8. To determine Magnitude and Phase Response of Fourier Transform of given signals.


You May Also Like

Follow Author Here:

Services

COMPLETELY FREE !!!

Yup, everything is free....

NO REGISTRATION REQUIRED

User doesn't have to register for accessing the files, all the files are free & universally accessible without any condition or restriction.

RESPONSIVE DESIGN & USER-FRIENDLY

Our webpages are responsive & user-friendly, which means it will automatically adjust according to your device screen size and you will find stuff without ant hustle.

DIRECT DOWNLOAD LINKS WITH HIGN SPEED

All the files are uploaded on our super-fast servers so that they can be easily downloaded with high speed.

NEW PROJECTS

For providing a better experience to our users we are developing our Android application, the application will have a lot of awesome features so stay tuned ;).

AWESOME SUPPORT TEAM

Our AI-powered Chatbots are always here to help you so, feel free to ask any question or report if you face any problem. Our team also monitors all chatbots traffic & they will contact you if chatbot fails to help.

Contact Us