CHAPTER 2 Discrete-Time Signals and Systems in the Time-Domain

Slides:



Advertisements
Similar presentations
Digital Signal Processing – Chapter 11 Introduction to the Design of Discrete Filters Prof. Yasser Mostafa Kadah
Advertisements

Discrete-Time Linear Time-Invariant Systems Sections
Review of Frequency Domain
Discrete-Time Signals and Systems Quote of the Day Mathematics is the tool specially suited for dealing with abstract concepts of any kind and there is.
DT systems and Difference Equations Monday March 22, 2010
EE-2027 SaS, L11 1/13 Lecture 11: Discrete Fourier Transform 4 Sampling Discrete-time systems (2 lectures): Sampling theorem, discrete Fourier transform.
About this Course Subject: Textbook Reference book Course website
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 Systems Prof. Siripong Potisuk. Input-output Description A DT system transforms DT inputs into DT outputs.
Analysis of Discrete Linear Time Invariant Systems
Digital Signals and Systems
Discrete-Time and System (A Review)
Discrete-Time Signals and Systems
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.
Chapter 2 Discrete-Time Signals and Systems
1 Signals & Systems Spring 2009 Week 3 Instructor: Mariam Shafqat UET Taxila.
Chapter 2: Discrete time signals and systems
CHAPTER 1 Signals and Signal Processing
CHAPTER 3 Discrete-Time Signals in the Transform-Domain
Time Domain Representation of Linear Time Invariant (LTI).
Zhongguo Liu Biomedical Engineering
DISCRETE-TIME SIGNALS and SYSTEMS
Time-Domain Representations of LTI Systems
Zhongguo Liu_Biomedical Engineering_Shandong Univ. Biomedical Signal processing Chapter 2 Discrete-Time Signals and Systems Zhongguo Liu Biomedical.
CHAPTER 6 Digital Filter Structures
Discrete-time Systems Prof. Siripong Potisuk. Input-output Description A DT system transforms DT inputs into DT outputs.
Zhongguo Liu_Biomedical Engineering_Shandong Univ. Chapter 8 The Discrete Fourier Transform Zhongguo Liu Biomedical Engineering School of Control.
BYST CPE200 - W2003: LTI System 79 CPE200 Signals and Systems Chapter 2: Linear Time-Invariant Systems.
Signals and Systems Dr. Mohamed Bingabr University of Central Oklahoma
CHAPTER 10 Applications of Digital Signal Processing
COSC 3451: Signals and Systems Instructor: Dr. Amir Asif
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.
Hossein Sameti Department of Computer Engineering Sharif University of Technology.
Department of Electrical and Computer Engineering Brian M. McCarthy Department of Electrical & Computer Engineering Villanova University ECE8231 Digital.
Linear Time-Invariant Systems Quote of the Day The longer mathematics lives the more abstract – and therefore, possibly also the more practical – it becomes.
EEE 503 Digital Signal Processing Lecture #2 : EEE 503 Digital Signal Processing Lecture #2 : Discrete-Time Signals & Systems Dr. Panuthat Boonpramuk Department.
Discrete-Time Signals and Systems
Chapter 4 LTI Discrete-Time Systems in the Transform Domain
Course Outline (Tentative) Fundamental Concepts of Signals and Systems Signals Systems Linear Time-Invariant (LTI) Systems Convolution integral and sum.
Chapter 2. Fourier Representation of Signals and Systems
Time Domain Representation of Linear Time Invariant (LTI).
Technological Educational Institute Of Crete Department Of Applied Informatics and Multimedia Neural Networks Laboratory Slide 1 DISCRETE SIGNALS AND SYSTEMS.
Discrete-time Signals Prof. Siripong Potisuk. Mathematical Representation x[n] represents a DT signal, i.e., a sequence of numbers defined only at integer.
Signals and Systems Analysis NET 351 Instructor: Dr. Amer El-Khairy د. عامر الخيري.
CHAPTER 5 Digital Processing of Continuous- Time Signal Wangweilian School of Information Science and Technology Yunnan University.
Signals and Systems Lecture #6 EE3010_Lecture6Al-Dhaifallah_Term3321.
1 1. Time Domain Representation of Signals and Systems 1.1 Discrete-Time Signals 1.2 Operations on Sequences 1.3 Classification of Sequences 1.4 Some Basic.
Digital Signal Processing Topic 2: Time domain
Generalized Linear Phase Quote of the Day The mathematical sciences particularly exhibit order, symmetry, and limitation; and these are the greatest forms.
Description and Analysis of Systems Chapter 3. 03/06/06M. J. Roberts - All Rights Reserved2 Systems Systems have inputs and outputs Systems accept excitation.
Chapter 2. Signals and Linear Systems
Analysis of Linear Time Invariant (LTI) Systems
Finite Impuse Response Filters. Filters A filter is a system that processes a signal in some desired fashion. –A continuous-time signal or continuous.
Prepared by:D K Rout DSP-Chapter 2 Prepared by  Deepak Kumar Rout.
In summary If x[n] is a finite-length sequence (n  0 only when |n|
Time Domain Representations of Linear Time-Invariant Systems
EENG 420 Digital Signal Processing Lecture 2.
Discrete Time Signal Processing Chu-Song Chen (陳祝嵩) Institute of Information Science Academia Sinica 中央研究院 資訊科學研究所.
Review of DSP.
In summary If x[n] is a finite-length sequence (n0 only when |n|
CEN352 Dr. Nassim Ammour King Saud University
Discrete-time Systems
Linear Constant-coefficient Difference Equations
Description and Analysis of Systems
Digital Signal Processing
Discrete-Time Signals: Time-Domain Representation
山东省精品课程《生物医学信号处理(双语)》
Concept of frequency in Discrete Signals & Introduction to LTI Systems
Review of DSP.
Presentation transcript:

CHAPTER 2 Discrete-Time Signals and Systems in the Time-Domain YANG Jian jianyang@ynu.edu.cn School of Information Science and Technology Yunnan University

Outline Discrete-Time Signals Typical Sequences and Sequence Representation The Sampling Process Discrete-Time Systems Time-Domain Characterization of LTI Discrete-Time Systems Finite-Dimensional LTI Discrete-Time Systems Correlation of Signals Summary 云南大学滇池学院课程:现代信号处理数字信号处理

Discrete-Time Signals Basic signals Unit sample or unit impulse sequence Unit step sequence Exponential sequence Signal classification Continuous-time / discrete-time signals Deterministic / random signals Energy signals signals with finite energy Power signals signals with finite power Energy signals have zero power, and power signals have infinite energy 云南大学滇池学院课程:现代信号处理数字信号处理

Discrete-Time Signals Time-Domain Representation Sequence of numbers: — sequence — samples — sample value or nth samples, a real or complex value Figure of sequence: is defined only for integer value of 云南大学滇池学院课程:现代信号处理数字信号处理

Discrete-Time Signals Operation on sequences Basic operation Adder / Subtraction: Scalar multiplication ( gain / attenuation ): Delay / Advance: Combination of Basic Operations Multiplier: Linear combination: 云南大学滇池学院课程:现代信号处理数字信号处理

Discrete-Time Signals Operation on sequences Sampling Rate Alteration ( special operations of for discrete-time signals ) Up-sampling: Down-sampling: 云南大学滇池学院课程:现代信号处理数字信号处理

Discrete-Time Signals Classification of Sequences The number of sequences: finite / infinite Finite-length sequences: Symmetry conjugate-symmetric ( even ): conjugate-antisymmetric ( odd ): Periodity: periodic / aperiodic Periodic sequence: 云南大学滇池学院课程:现代信号处理数字信号处理

Discrete-Time Signals Classification of Sequences Energy and Power Signals 云南大学滇池学院课程:现代信号处理数字信号处理

Discrete-Time Signals Classification of Sequences Other types of Classification Bounded: Absolutely summable: Square-summable: 云南大学滇池学院课程:现代信号处理数字信号处理

Typical Sequences and Sequence Representation Some Basic Sequences Unite sample sequence: An arbitrary sequence can be represented by unite sample sequence in time-domain Unite step sequence: 云南大学滇池学院课程:现代信号处理数字信号处理

Typical Sequences and Sequence Representation Sinusoidal and Exponential Sequences The real sinusoidal sequence: The exponential sequence: The sinusoidal sequence are periodic of period N as long as is an integer multiple of . The smallest possible N is the fundamental period of the sequence. 云南大学滇池学院课程:现代信号处理数字信号处理

Typical Sequences and Sequence Representation Some Typical Sequences Regular window sequence: Real exponential sequence: Representation of an Arbitrary Sequence An arbitrary sequence can be represented as a weight sum of basic sequence and its delayed version. 云南大学滇池学院课程:现代信号处理数字信号处理

The Sampling Process Uniform sampling: Often the discrete-time sequence is developed by uniformly sampling a continuous-time signal : the sampling frequency angular frequency 云南大学滇池学院课程:现代信号处理数字信号处理

The Sampling Process Aliasing: When , a continuous-time sinusoidal signal of higher frequency would acquire the identity of a sinusoidal sequence of lower frequency after sampling. e.g. 云南大学滇池学院课程:现代信号处理数字信号处理

Discrete-Time System Discrete-time system H [ ] Output y(n) Input x(n) Simple Discrete-Time Systems The accumulator The M-point moving-average filter The factor-of-L interpolator 云南大学滇池学院课程:现代信号处理数字信号处理

Discrete-Time System Classification of Discrete-Time System Linear system: Shift-Invariant System: LTI System: The linear time-invariable discrete-time system satisfies both the linear and the time-invariable properties. 云南大学滇池学院课程:现代信号处理数字信号处理

Discrete-Time System Classification of Discrete-Time System Causal System: In a causal discrete-time system, the th output sample depends only on input samples for and does notdepend on input samples for . 云南大学滇池学院课程:现代信号处理数字信号处理

Discrete-Time System Classification of Discrete-Time System Stable System: Definition of bounded-input, bounded-output ( BIBO ) stable. Passive and Lossless Systems The passivity: The losslessness: the same energy 云南大学滇池学院课程:现代信号处理数字信号处理

Discrete-Time System Impulse and Step Responses Input sequence → output sequence Impulse response : Step response : 云南大学滇池学院课程:现代信号处理数字信号处理

Time-Domain Characterization of LTI Discrete-Time Systems Input-Output Relationship The response y(n) of the LTI discrete-time system to x(n) will be given by the convolution sum: The operation Step 1, time-reverse: Step 2, shift n sampling period: Step 3, product: Step 4, summing all samples: 云南大学滇池学院课程:现代信号处理数字信号处理

Time-Domain Characterization of LTI Discrete-Time Systems Some useful properties of the convolution operation Commutative: Associative for stable and single-sided sequences: Distributive: 云南大学滇池学院课程:现代信号处理数字信号处理

Time-Domain Characterization of LTI Discrete-Time Systems Simple Interconnection Schemes Cascade Connection: Parallel Connection: Inverse System: 云南大学滇池学院课程:现代信号处理数字信号处理

Time-Domain Characterization of LTI Discrete-Time Systems Stability Condition in Terms of the Impulse Response An LTI digital filter is BIBO stable if only if its impulse response sequence is absolutely summable, i.e.: Causality Condition in Terms of the Impulse Response An LTI discrete-time system is causal if and only if its impulse response is a causal sequence satisfying the condition: 云南大学滇池学院课程:现代信号处理数字信号处理

Finite-Dimensional LTI Discrete-Time Systems The difference equation: An important subclass of LTI discrete-time systems is characterized by a linear constant coefficient difference equation of the form: The order of the system is given by max( N, M ) 云南大学滇池学院课程:现代信号处理数字信号处理

Finite-Dimensional LTI Discrete-Time Systems Total Solution Calculation The complementary solution The homogeneous difference equation: The characteristic equations: 云南大学滇池学院课程:现代信号处理数字信号处理

Finite-Dimensional LTI Discrete-Time Systems Total Solution Calculation The particular solution is of the same form as specified input . The total solution: 云南大学滇池学院课程:现代信号处理数字信号处理

Finite-Dimensional LTI Discrete-Time Systems Zero-Input Response and Zero-State Response zero-input response = complementary solution with initials; zero-state response = the convolution sum of x(n) and h(n). 云南大学滇池学院课程:现代信号处理数字信号处理

Finite-Dimensional LTI Discrete-Time Systems Impulse Response Calculation 云南大学滇池学院课程:现代信号处理数字信号处理

Finite-Dimensional LTI Discrete-Time Systems Impulse Response Calculation The solutions 云南大学滇池学院课程:现代信号处理数字信号处理

Finite-Dimensional LTI Discrete-Time Systems Location of Roots of Characteristic Equation for BIBO Stability A casual LTI system characteristic of a linear constant coefficient difference equation is BIBO stable, if the magnitude of each of the roots its characteristic equation is less than 1. The necessary and sufficient condition: 云南大学滇池学院课程:现代信号处理数字信号处理

Finite-Dimensional LTI Discrete-Time Systems Classification of LTI System Based on impulse response length Finite impulse response ( FIR ): Infinite impulse response ( IIR ): 云南大学滇池学院课程:现代信号处理数字信号处理

Finite-Dimensional LTI Discrete-Time Systems Classification of LTI System Based on the output calculation process Non-recursive system: If the output sample can be calculated sequentially, knowing only the present and pass input samples. Recursive system: If the computation of the output involves past output samples. Remarks: FIR — Non-recursive IIR — Recursive 云南大学滇池学院课程:现代信号处理数字信号处理

Correlation of Signals Definitions A measure of similarity between a pair of energy signals, x(n) and y(n), is given by the cross-correlation sequence defined by: The autocorrelation sequence of x(n) is given by: 云南大学滇池学院课程:现代信号处理数字信号处理

Correlation of Signals Properties of Autocorrelation and Cross-correlation Sequences Set and as energies of the sequences x(n) and y(n) , then we can get or equivalently If y(n) = x(n), then The sample value of the autocorrelation sequence has its max value at zero lag ( l = 0 ). 云南大学滇池学院课程:现代信号处理数字信号处理

Correlation of Signals Properties of Autocorrelation and Cross-correlation Sequences If , where N is integer and b>0 is an arbitrary number. In this case , so 云南大学滇池学院课程:现代信号处理数字信号处理

Correlation of Signals Normalized Forms of Correlation: Correlation Computation for Power and Periodic Signals Power signals: Periodic signals: 云南大学滇池学院课程:现代信号处理数字信号处理

Summary The LTI system has numerous applications in practice. The LTI system can be described by an input-output relation composed of a linear constant coefficient difference equation. The LTI discrete-time system is usually classified in terms of the length of its impulse response. 云南大学滇池学院课程:现代信号处理数字信号处理