Purdue University: ECE438 - Digital Signal Processing with Applications
1
ECE438 - Laboratory 1: Discrete and Continuous-Time Signals
September 23, 2008
1
Introduction
The purpose of this lab is to illustrate the properties of continuous and discrete-time
Purdue University: ECE438 - Digital Signal Processing with Applications
1
ECE438 - Laboratory 4: Sampling and Reconstruction of Continuous-Time Signals
October 9, 2008
1
Introduction
It is often desired to analyze and process continuous-time signals using
Purdue University: ECE438 - Digital Signal Processing with Applications
1
ECE438 - Laboratory 3: Frequency Analysis
October 9, 2008
1
Introduction
In this experiment, we will use Fourier series and Fourier transforms to analyze continuoustime and discrete
Purdue University: ECE438 - Digital Signal Processing with Applications
1
ECE438 - Laboratory 2: Discrete-Time Systems
October 9, 2008
1
Introduction
A discrete-time system is anything that takes a discrete-time signal as input and generates a discrete-ti
Unit - III
Fast Fourier Transform
In 1967 calculation of a 8192-point DFT on
the top-of-the line IBM 7094 took .
~30 minutes using conventional techniques
~5 seconds using FFTs
Divide and conquer approach
Radix-r algorithms
Decimation-in-time algorit
Unit-II
Frequency domain Analysis
of LTI systems
A little history
Astronomic predictions by Babylonians/Egyptians likely via trigonometric sums.
1669: Newton stumbles upon light spectra (specter = ghost) but fails to
recognise frequency concept (corpusc
UNIT-I
Classification of signals
Multichannel
(signals are generated by multiple
sensors/sources which are measuring the
same parameter. Example: measurement of
ground acceleration a few kilometers from
epicenter of an earthquake, ECG etc)
Multidimensio
Indian Institute of Information Technology, Allahabad
(Deemed University)
(DSP-632) Digital Signal Processing
VI semester B Tech (ECE)
Unit I
Review of signal and system theory: Classification of discrete time signals and systems, The
concept of frequency