10B17EC307

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SIGNAL AND SYSTEMS LAB

ELECTRONICS AND COMMUNICATION ENGG DEPARTMENT , JUIT Page 1

JAYPEE UNIVERSITY OF INFORMATIONTECHNOLOGY

WAKNAGHAT, DISTT. SOLAN (H.P.)-173215

COURSE CODE: 10B17EC307COURSE TITLE: Signals and Systems Lab

DEPARTMENT OF ELECTRONICS AND

COMMUNICATION ENGINEERING

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List of Experiments

1. A) Using MATLAB perform the various operations on Matrices.

a)

Addition , Subtractionb) Multiplication , multiplication element by element

c) Determinant , Transpose and Inverse

B) Plot various functions

a) Straight line with varying slopes and intercepts.

b) Parabola

c) Circle and ellipse

d) Trigonometric functions.

2. A) Generate the following signals

a) Unit step

b)

Ramp

c) Rectangular pulse

d) Signum function

e) Sinc function

f) Exponential function ( Damped complex sinusoidal functions)

Plot various discrete signals

a) Unit step

b) Ramp

c) Rectangular pulse

d)

Signum functione) Sinc function

B) Obtain the even part and odd parts for a given signal

a. In continuous domain

b. In discrete domain

c. For real signals and complex signals

3. Perform operation on dependent and independent variables

Given x(t) , plot y(t) = C x(at+b) +D to represent

a)

Time shifting

b) Time scaling

c) Time reversal

d) Amplitude scaling

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4. Define x(n) = cos(n/8) [u(n) u(n 50)]. Compute the output of the system in two

ways:

a) y(n) = h(n) * x(n) using the convcommand.

b) Use your function to find the output for this input signal.

Are the computed two output signals same?

5.Write a new Matlab function for the system with the difference equation:y(n) = x(n) + 2 x(n 1) 1.1 y(n 1)

Find and plots the impulse response of this system.

6. a) Find the Fourier series coefficients c(k) for the periodic signal

x(t) = | cos(t)|.

b) Find the Fourier series coefficients c(k) for the periodic triangular pulse shownbelow.

7. Find the Fourier transform for the following signals, observe amplitude and phase

response.

a) Sin (t) , Sin (2t)

b) Sinc function

c)

Rectangular pulse

8. Illustration of Gibbs phenomenon using Matlab.

9. Perform the Sampling and Quantization for any given signal.

10.Perform Integration and Differentiation in Matlab.

Project Activity:

Choose one project topic after the approval of concerned faculty. Project activity shall continue

over the complete semester.

Deadline to decide project topic is before mid-semester break

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Evaluation Scheme:

Record: 10

Attendance: 10

Viva: 15

Mid Sem: 15

Project: 10

End Sem: 40

Total : 100 marks

Course Objective:

1.

To introduce the concepts and techniques associated with understanding of signals and

systems.

2. To familiarize with techniques suitable for analyzing continuous-time and discrete-time.

3. To provide with an appreciation of applications for the techniques and mathematics used in

this course.

4. To understand complex signals and their representation in terms of common signals.5. To understand the signal frequency content and the system representation in the

frequency domain.

6. To understand the concept of signal convolution and its use in analysis of linear dynamic

systems.

7.

To master the use of the Laplace transform in analysis of continuous-time linear dynamicsystems.

8. To master the use of the Z-transform in analysis of discrete-time linear dynamic systems.

Course Outcome:

1. An ability to analyze complex signals in time domain.

2. An ability to study signals and systems in the frequency domain.

3. To find the response of both continuous/discrete time linear dynamic systems.

4.

An ability to prepare lab. and project report.

Documents

10B17EC307