GUJARAT TECHNOLOGICAL UNIVERSITY
Electronics Engineering / Electronics & Communication Engineering /Electronics & Telecommunication Engineering B. E. SEMESTER: VII Subject Name: Digital Signal Processing Subject Code: 171003 Teaching Scheme Theory Tutorial Practical Total

Evaluation Scheme
University Exam (E) Theory Practical 70 30 Mid Sem Exam (Theory) (M) 30 Practical (Internal)

4

0

2

6

20

Sr. Course Content No 1. Introduction: Signals, systems and signal processing, classification of signals, elements of digital signal processing system, concept of frequency in continuous and discrete time signals, Periodic Sampling, Frequency domain representation of sampling, Reconstructions of band limited signals from its samples, general applications of DSP 2. Discrete-Time Signals and Systems: Discrete-Time Signals, Discrete-Time Systems, LTI Systems, Properties of LTI Systems, linear convolution and its properties, Linear Constant Coefficient Difference equations,. Frequency domain representation of Discrete-Time Signals & Systems, Representation of sequences by discrete time Fourier Transform, (DTFT), Properties of discrete time Fourier Transform, and correlation of signals, Fourier Transform Theorems. 3. The Z- Transform and Analysis Linear Time-of Invariant System: Z-Transform, Properties of ROC for Z-transform, the inverse Z-transform methods, Z- transforms properties, Analysis of LTI systems in time domain and stability considerations. Frequency response of LTI system, System functions for systems with linear constant-coefficient Difference equations, Freq. response of rational system functions relationship between magnitude & phase, All pass systems, inverse systems, Minimum/Maximum phase systems, systems with linear phase.

Total Hrs. 5

10

10

4.

Structures for Discrete Time Systems: Block Diagram and signal flow diagram representations of Linear Constant-Coefficient Difference equations, Basic Structures of IIR Systems,...

...Lab manual for
DigitalSignalProcessing Lab
III B. Tech II Semester
Prepared by
J. Sunil Kumar, P.Saritha & Ch.Sateesh kumar reddy
Department of Electronics & Communication Engineering
Turbomachinery Institute of Technology & Sciences
(Approved by AICTE & Affiliated to JNTUH) Indresam(v), Patancheru(M), Medak(Dist). Pin: 502 319
Date:…………
DSP Lab Manual ………
Turbomachinery Institute of Technology & Sciences
Certificate
This is to certify that Mr. / Ms. ………………………………….. RollNo……………..… of I/II/III/IV B.Tech I / II Semester of …………….……………………..…………branch has completed the laboratory work satisfactorily in …………………..…….……..... Lab for the academic year 20 … to 20 …as prescribed in the curriculum. Place: …………….….
Date: ……………..….
Lab In charge
Head of the Department
Principal
.
1
Turbomachinery Institute of Technology & Sciences, Hyd. 319
Date:………… LIST OF EXPERIMENTS: 1. Generation of Sinusoidal Waveform / Signal 2. To find the DFT / IDFT of given DT Signal
DSP Lab Manual ………
3. To find the frequency response of a given system in transfer function 4. Implementation of FFT of given sequence 5. Implementation of LP FIR filter for given sequence 6. Implementation of HP FIR filter for given sequence 7. Implementation of LP IIR filter for given sequence 8. Implementation of HP IIR filter for given sequence 9. Determination of power spectrum of a given...

...Electronic and Information Engineering EIE413 DigitalSignalProcessing Individual Essay
Multirate DigitalSignalProcessing
Instructor: W.C. Siu By HAN Shilu 07828567D
EIE413 DigitalSignalProcessing
Multirate DigitalSignalProcessing
Abstract
In traditional digitalsignalprocessing system, there is always only one simple sampling rate (that is, the sampling frequency). The output signal has the same sampling rate with the input. In modern digital systems, however, there is an
increasing need to process data at more than one sampling rate. Sometimes the output of the system is required to have a different sampling rate of the input signal. This has lead the development of multirate digitalsignalprocessing, which is a new sub-area in DSP. For example, the sampling rate for an audio CD (compact disc) is 44.1 kHz. If we want to transfer data from the CD to a DAT (digital audio tape) at a sampling rate of 48 kHz, we need to increase the frequency of the data first using a multirate approach. There are two primary options we have in multirate processing. The first is decimation. The sampling rate fs of a given signal x[n]...

...EEE 311: DigitalSignalProcessing-I
Course Teacher: Dr. Newaz Md. Syfur Rahim
Associated Professor,
Dept of EEE, BUET, Dhaka 1000.
Syllabus: As mentioned in your course calendar
Reference Books:
1. DigitalSignalProcessing: Principles, Algorithms, and Applications – John G. Proakis
2. DigitalSignalProcessing: A Practical Approach – Emmanuel C. Ifeachor
3. Schaum’s Outlines of DigitalSignalProcessing
4. Modern DigitalSignalProcessing – Roberto Cristi
Course Outlines:
This course will cover Chapter 1 through 5 of Proakis’s and Chapter 5 through 7 of Ifeachor’s book.
Signals Systems and SignalProcessing
A signal is a function of one or more independent variables that usually represent time and/ or space. A signal contains some kind of information that can be conveyed, displayed, or manipulated. Examples of signals of particular interests are:
* Speech, which we encounter in telephony, radio, and everyday life.
* Biomedical signals, such as electrocardiogram
* Sound and music, such as reproduced by CD player
* Video and image, which people watch on television
* Radar signals, which are...

...Lab 1: Sampling Theory, Quantization and PCM
In this lab, you will familiar with Sampling theorem, quantization and PCM generation. Pre-lab Assignment
: Given signal
x(t) = sinc(t), x(t).
1. Find out the Fourier transform of
x(t), X(f ), sketch them;
2. Find out the Nyquist sampling frequency of 3. Given sampling rate terms of
fs , write down the expression of the Fourier transform of xs (t) → Xs (f ) in fs = 1
Hz, sketch the sampled signal
X(f ). xs (t) = x(kTs )
and the Fourier
4. Let sampling frequency transform of
xs (t). fs = 2Hz , repeat 4. fs = 0.5Hz , repeat 4. fs = 1.5Hz , repeat 4. fs = 2/3Hz , repeat 4.
5. Let sampling frequency 6. Let sampling frequency 7. Let sampling frequency 8. Let sampling frequency
Lab Assignment 1: Sampling Theorem 1. Design matlab programs to illustrate items 3-8 in pre-lab assignment. You need to plot all the graphs. Using the Fourier transform of
xs (t) as: x(kTs ) exp(−j 2πf kTs )
k
Xs (f ) =
2. Compare your results with your sketches in your pre-lab assignment and explain them.
Lab Assignment 2: Quantization of Voice 1. Read pcm.wav le into vector
y (you can truncate the original data to the desired length); N = 3
bits (8 levels) uniform quantizer. Output PCM code
2. Quantize the data vector N number (0 to 2 − 1).
y,
using
3. Generate binary (0 and 1) bit stream from PCM code number (this bit stream will be used in the later labs). 4....

...Impact of DigitalSignalProcessing
Introduction
Early in the years of computers, the then generation had predictions. They saw computers or rather artificial intelligence turn-around how people would relate with each other and their environment. They had a believe of how machines like computers being our drivers, robots doing our chores and functions like voice interface controlling retrieval and storage of data and information. However, it never came to pass because of the difficulty in implementing and carrying out step-by-step logic operation that is provided by digital computers.
However, there are various trade-off issues considered in marketing. These include competition, product life and manufacturing cost. Digitalsignalprocessing obtain application in areas where processing is continuous mathematical operations to solve a particular problem [1]. These devices over the past years have achieved tremendous advancement. As result, DSP has had great impact on the economy, society and political stability.
Impacts
The world has had forward leaps in the telecommunication industry both voice, data and video messages have had a share. Telecommunication market no doubt is one of the most lucrative markets to venture. Humans being started using technology for communication, the market had recognition and booming was felt. Research led to newer communication...

...DigitalsignalprocessingDigitalsignalprocessingDigitalsignalprocessing (DSP) is the mathematical manipulation of an information signal to modify or improve it
in some way. It is characterized by the representation of discrete time, discrete frequency, or other discrete domain
signals by a sequence of numbers or symbols and the processing of these signals.
The goal of DSP is usually to measure, filter and/or compress continuous real-world analog signals. The first step is
usually to convert the signal from an analog to a digital form, by sampling and then digitizing it using an
analog-to-digital converter (ADC), which turns the analog signal into a stream of numbers. However, often, the
required output signal is another analog output signal, which requires a digital-to-analog converter (DAC). Even if
this process is more complex than analog processing and has a discrete value range, the application of computational
power to digitalsignalprocessing allows for many advantages over analog processing in many applications, such as
error detection and correction in transmission as well as data...

...DIGITALSIGNAL – IMAGE SIGNALPROCESSING LAB MANUAL
PREPARED BY: B.C.SURVE/SHARATH B.
ASSISTANT PROFESSOR
CONTENTS:
1)Experiment 1: INTRODUCTION WITH MATLAB SOFTWARE
2) Experiment 2: GENERATION OF BASIC CONTINUES SIGNALS / BASIC DISCRETE SIGNALS
3) Experiment 3: IMPULSE RESPONSE OF AN LTI SYSTEM
4) Experiment 4: CONVOLUTION OF TWO SEQUENCE AND PROPERTIES OF CONVOLUTION
5) Experiment 5: CORRELATION- AUTOCORRELATION
6) Experiment 6: read and display digital image using MATLAB
7) Experiment 7: remove noise using spatial filters.
8) Experiment 8: edge detection using quick mask.
9) Experiment 9: histogram calculation and equalization.
(Without using standard functions)
10) Experiment 10: image morphological operations erosion and dilation.
Experiment No: - 01
FAMILIARISATION WITH MATLAB R2011B
Aim: To familiarise with MATLAB software, general functions and signalprocessing toolbox functions.
The name MATLAB stands for Matrix Laboratory produced by Math works Inc., USA. It is a matrix-based
powerful software package for scientific and engineering computation and visualization. Complex numerical problems can be solved in a fraction of the time that required with other high level...

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