Discrete-Time Signals Week 2. Continuous-Time Versus Discrete-Time Signals Continuous-time signal: a signal defined by a function of a continuous-time.

Slides:



Advertisements
Similar presentations
Correlation of Discrete-Time Signals Transmitted Signal, x(n) Reflected Signal, y(n) = x(n-D) + w(n) 0T.
Advertisements

Signals and Signal Space
Introduction to Signals & Systems
Linear SystemsKhosrow Ghadiri - EE Dept. SJSU1 Signals and Systems Linear System Theory EE Lecture Eight Signal classification.
EECS 20 Chapter 10 Part 11 Fourier Transform In the last several chapters we Viewed periodic functions in terms of frequency components (Fourier series)
Introduction to signals
Discrete-Time Convolution Linear Systems and Signals Lecture 8 Spring 2008.
Signals and Systems Discrete Time Fourier Series.
1.4 The Unit Impulse and Unit Step Functions The Discrete-Time Unit Impulse and Unit Step Sequences The Discrete-Time Unit Impulse Sequence.
Review of Probability.
Continuous Time Signals
Finite Impuse Response Filters. Filters A filter is a system that processes a signal in some desired fashion. –A continuous-time signal or continuous.
Discrete-Time and System (A Review)
EE421, Fall 1998 Michigan Technological University Timothy J. Schulz 08-Sept, 98EE421, Lecture 11 Digital Signal Processing (DSP) Systems l Digital processing.
1 Chapter 8 The Discrete Fourier Transform 2 Introduction  In Chapters 2 and 3 we discussed the representation of sequences and LTI systems in terms.
Probability Theory and Random Processes
1 Signals & Systems Spring 2009 Week 3 Instructor: Mariam Shafqat UET Taxila.
Discrete-time Signals and Systems We begin with the concepts of signals and systems in discrete time. A number of important types of signals and their.
Course Outline (Tentative)
DISCRETE-TIME SIGNALS and SYSTEMS
Generalized Semi-Markov Processes (GSMP)
Digital Signal Processing
Time-Domain Representations of LTI Systems
EE484: Probability and Introduction to Random Processes Autocorrelation and the Power Spectrum By: Jason Cho
1 Fourier Representation of Signals and LTI Systems. CHAPTER 3 EKT 232.
Module 2 SPECTRAL ANALYSIS OF COMMUNICATION SIGNAL.
Classification of Signals & Systems. Introduction to Signals A Signal is the function of one or more independent variables that carries some information.
1 Fourier Representations of Signals & Linear Time-Invariant Systems Chapter 3.
Palestine University Faculty of Information Technology IGGC Understanding Telecommunications Instructor: Dr. Eng. Mohammed Alhanjouri 2 nd Lecture:
Zhongguo Liu_Biomedical Engineering_Shandong Univ. Chapter 8 The Discrete Fourier Transform Zhongguo Liu Biomedical Engineering School of Control.
Signals and Systems Dr. Mohamed Bingabr University of Central Oklahoma
Linear Time-Invariant Systems
Basic Operation on Signals Continuous-Time Signals.
One Random Variable Random Process.
Analog-To-Digital convertor Sampler Quantization Coding.
Course Outline (Tentative) Fundamental Concepts of Signals and Systems Signals Systems Linear Time-Invariant (LTI) Systems Convolution integral and sum.
1 Lecture 1: February 20, 2007 Topic: 1. Discrete-Time Signals and Systems.
CT1037N Introduction to Communications Signal Representation & Spectral Analysis Er. Saroj Sharan Regmi Lecture 05.
Generalized Semi- Markov Processes (GSMP). Summary Some Definitions The Poisson Process Properties of the Poisson Process  Interarrival times  Memoryless.
Hossein Sameti Department of Computer Engineering Sharif University of Technology.
Fourier Analysis of Signals and Systems
CHAPTER 2 Discrete-Time Signals and Systems in the Time-Domain
1 EE571 PART 4 Classification of Random Processes Huseyin Bilgekul Eeng571 Probability and astochastic Processes Department of Electrical and Electronic.
revision Transfer function. Frequency Response
INTRODUCTION TO SIGNALS
Discrete-time Random Signals
and shall lay stress on CORRELATION
SIGNALS AND SIGNAL SPACE
DTFT continue (c.f. Shenoi, 2006)  We have introduced DTFT and showed some of its properties. We will investigate them in more detail by showing the associated.
Signal and System I The representation of discrete-time signals in terms of impulse Example.
Discrete-time Signals Prof. Siripong Potisuk. Mathematical Representation x[n] represents a DT signal, i.e., a sequence of numbers defined only at integer.
Geology 6600/7600 Signal Analysis 09 Sep 2015 © A.R. Lowry 2015 Last time: Signal Analysis is a set of tools used to extract information from sequences.
Signals and Systems Analysis NET 351 Instructor: Dr. Amer El-Khairy د. عامر الخيري.
Geology 5600/6600 Signal Analysis 14 Sep 2015 © A.R. Lowry 2015 Last time: A stationary process has statistical properties that are time-invariant; a wide-sense.
Signal and System I Signal energy and power Instantaneous power Energy in time interval t1 to t2 Average power in time interval t1 to t2 Total energy.
Today's lecture Continuous and discrete-time signals The sequence
(2 x 1) x 4 = 2 x (1 x 4) Associative Property of Multiplication 1.
Chapter 2. Signals and Linear Systems
Chapter 2 The z Transform.
Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin Lecture 3
Finite Impuse Response Filters. Filters A filter is a system that processes a signal in some desired fashion. –A continuous-time signal or continuous.
Continuous-Time Signals David W. Graham EE Continuous-Time Signals –Time is a continuous variable –The signal itself need not be continuous We.
Introduction to Signals & Systems By: M.SHAYAN ASAD Wah Engineering College University Of Wah Wah Cantt Pakistan.
الفريق الأكاديمي لجنة الهندسة الكهربائية 1 Discrete Fourier Series Given a periodic sequence with period N so that The Fourier series representation can.
SIGNALS PROCESSING AND ANALYSIS
Discrete-Time Complex
Discrete-Time Signal Description
COSC 4214: Digital Communications
Hi everybody I am robot. You can call me simply as robo
Part 1 A :Classification of Systems
Presentation transcript:

Discrete-Time Signals Week 2

Continuous-Time Versus Discrete-Time Signals Continuous-time signal: a signal defined by a function of a continuous-time variable. Discrete-time Signal: a signal defined by specifying the value of the signal only at discrete times, called sampling instants.

Continuous-Time Versus Discrete-Time Signals

Distinction between Discrete- Time and Quantized Signals Quantized Signal: A quantized signal is one whose values may assume only a countable number of values, or levels, but the changes from level to level may occur at any time.

Periodic and Aperiodic Signals Periodic: a signal x(t) is periodic if and only if x(t+T 0 )=x(t), -  <t<  (1) where the constant T 0 is the period. Aperiodic: Any deterministic signal not satisfying (1) is called aperiodic.

Periodic Signals

Aperiodic Signals

Some Elementary Discrete-Time Signals Unit sample: Unit step:

Some Elementary Discrete-Time Signals Exponential sequence Sinusoidal sequence

Some Elementary Discrete-Time Signals (1) Unit sample (2) Unit step (3) Exponential sequence(4) Sinusoidal sequence

Energy and Power Signals Total energy Average power 1. X(t) is an energy signal if and only if 0<E< , so that P=0. 2. X(t) is an power signal if and only if 0<P< , thus implying that E= . 3. Signals that satisfy neither property are therefore neither energy nor power signals.

Addition, Multiplication, and Scaling Addition Multiplication Scaling

Convolution of Two Discrete- Time Signals Convolution Properties 1. Commutative property 2. Associative property 3. Distributive property

Correlation of Two Discrete- Time Signals Cross-correlation function Autocorrelation function p=0 maximum