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  • Signals and Systems

    Department of Electrical & Electronic Engineering

    Southern University of Science and Technology

    Spring 2020

  • Signals and Systems

    2

    WANG RuiUSTC - CSE - BEng

    HKUST - ECE - PhD

    Huawei - Senior Research Engineer

    SUSTech EEE - Associate Professor

    Research Interests:Wireless communications: 5G, VLC, mmWave and etc.

    Cloud and edge computing

    Stochastic optimization, Reinforcement learning, convex

    optimization and etc.

    Office: A7 1107

    Email: [email protected]

    Website:

    http://eee.sustc.edu.cn/p/wangrui/

    mailto:[email protected]

  • Signals and Systems

    , Willsky

    and Nawab, 2nd Edition, 1997, Prentice-Hall.

    This course teaches Chapters 1 to 10.

    Roughly two weeks for one chapter

    Middle-term exam for Chapters 1 to 4

    Chapters 6, 8, 9, 10 in a short manner

    Final exam for all

    3

    Textbook reading is crucial, as I cannot cover every

    detail in slides

    Scope of Lecture

  • Signals and Systems

    Lectures

    (Tutorial)Matlab Labs

    Assignment/Quiz 20%

    Mid-term Exam 25%

    Final Exam 25%

    Lab Reports

    Project Report &

    Presentation

    30%

    4

    Three Pillars

    YOU

    100%

  • Signals and Systems

    Class Schedules

    Lab Session Starts from the first week

    Instructor: Dr. Guang Wu ( )

    Tutorials TBD

    Every week (no for week 1)

    TA

    Jie LI, [email protected]

    Xinrao LI, [email protected]

    5

  • Signals and Systems

    Which taste of do you like? Salty or sweet

    How can a southern Chinese get used to sweet ?

    Assignment: Every week (no for week 1)

    Submit assignment in softcopy after one week.

    6

    Practice is Important

  • Signals and Systems

    Signals and Systems

    Signals: everything which carries information

    Systems: everything which processes input

    signal and generate output signal

    7

    09

  • Transmitter ReceiverChannel

    Transmitted signal

    noise

    Received signal

    Estimate of message signal

    (information)

    Messagesignal

    (information) speech, text, image, video

    r(t)s(t)

    Communication Signals & Systems

    8

    Can you find any example of signals and

    systems when making a phone call?

    Transmitter, channel and receiver are

    all systems.

    Each system has one input signal and

    one output signal.

  • Signals and Systems

    9

    Image Processing

  • Signals and Systems

    More examples of signals

    Electrical signals voltages and currents in a circuit

    Acoustic signals audio or speech signals

    Video signals movie

    Biological signals sequence of bases in a gene

    We will treat noise as unwanted signals.

    10

  • Signals and Systems

    Signals and Systems from Our Point of

    View

    Signals are variables that carry information, like function.

    Systems process input signals to produce output signals.

    The course is about using mathematical techniques to

    analyze and synthesize systems which process signals.

    11

  • Signals and Systems

    Independent Variable of Signals

    Time is often the independent variable.

    Example: the electrical activity of the heart recorded

    with chest electrodes the electrocardiogram

    (ECG).

    12

    file://upload.wikimedia.org/wikipedia/commons/c/c1/ECGcolor.svg

  • Signals and Systems

    Signal Classification 1:

    Dimension of Independent Variable

    An independent variable can be 1-D (t in the ECG),

    2-D (x, y in an image), or 3-D (x, y, t in an video).

    We focus on 1-D for mathematical simplicity but the

    results can be extended to 2-D or even higher

    dimensions.

    13

  • Signals and Systems

    Signal Classification 2:

    Continuous-time (CT) Signals

    Independent variable is continuous

    Most of the signals in the physical world are CT signals.

    E.g. voltage & current, pressure, temperature, velocity, etc.

    Notation: x(t)

    14

  • Signals and Systems

    Discrete-time (DT) Signals

    Independent variable is integer

    Examples of DT signals: DNA sequence, population of

    the n-th generation of certain species

    Notation: x[n]

    15

  • Signals and Systems

    Many Human-made Signals are DT

    Why DT? Can be processed by modern digital

    computers and digital signal processors (DSPs).

    16

    Weekly Dow-Jones

    industrial averageDigital image

  • Signals and Systems

    Signal Classification 3:

    Deterministic Signal

    t

    T0½T0-T0 -½T0

    x(t)

    Each value of the signal is fixed, and can be determined by a

    mathematical expression, rule, or table.

    17

  • Signals and Systems

    Signal Classification 3:

    Random Signal

    x(t)

    t

    Signal value at any time instance is a random variable.

    18

  • Signals and Systems

    Periodic Signals

    CT: x(t) = x(t + T) T : period

    x(t) = x(t + mT) m: integer

    DT: x[n] = x[n + N]=x[n + mN], N: period

    Fundamental period: the smallest positive period

    Aperiodic: NOT period

    19Signal Classification 4:

    Periodic / Aperiodic

  • Signals and Systems

    Signal Classification 5: Even / Odd

    Even and Odd Signals

    Even x(t) = x t) or x[n] = x n]

    Odd x(t x t) or x[n x n]

    x(0)=0, and x[0]=0

    20

    Example: cos(t)

    Example: sin(t)

  • Signals and Systems

    Any signals can be expressed as a sum of Even and

    Odd signals. That is:

    x(t) = xeven(t) + xodd(t),

    where:

    xeven(t) = [x(t) + x(-t)]/2,

    xodd(t) = [x(t) - x(-t)]/2.

    21

  • Signals and Systems

    A right-sided signal is zero for t < T, and

    A left-sided signal is zero for t > T, where T can be

    positive or negative.

    22Signal Classification 6:

    Right- and Left-Sided

  • Signals and Systems

    Bounded signal: the absolute value of signal is bounded.

    Unbounded signal: otherwise

    23

    Classification 7: Bounded and Unbounded

  • Signals and Systems

    0 4

    x(t)

    t

    2 6

    y(t)

    t

    Transformation of a Signal

    System

    x(t)

    y(t)

  • Signals and Systems

    Transformation of a Signal25

    Time Shift

    Time Reversal

    Time Scaling

    Combination

    ][][,)()( 00 nnxnxttxtx

    ][][,)()( nxnxtxtx

    ?][,)()( nxatxtx

    ?][,)()( nxbatxtx

  • Signals and Systems

    26

    Time Scaling

    Transformation of a Signal

  • Signals and Systems

    0 4

    2

    x(t)

    x(-2t+2) ?

    t

    Class problem27

  • Signals and Systems

    A very important class of signals is presented as:

    CT signals of the form x(t) = ej t

    DT signals of the form x[n] = ej n

    For both exponential CT and DT signals, x is a

    complex quantity and has:

    a real and imaginary part [i.e., Cartesian form], or

    equivalently

    a magnitude and a phase angle [i.e., polar form].

    We will use whichever form that is convenient.

    28

    Exponential Signals

  • 29

    is defined as phase

    t

    t

    Real and imaginary parts are periodic

    signals with the same period, but out

    of phase (90o phase difference)

  • Signals and Systems

    30

    0

    0 0( ) cos( ) sin( )j t

    x t e t j t

    -Fundamental (angular) frequency:

    -Fundamental period:

    -In CT, always periodic

    -larger => higher frequency

    0

    0

    0

    2T

    0j te

    0

  • Signals and Systems

    ( ) ( 1)j n j n ne e

    2 2( ) (1) 1j n j n ne e

    Is it periodic?

    Larger => higher frequency?

  • Signals and Systems

    Periodicity Properties of DT Complex

    Exponentials

    32

    0 0 0( 2 ) 2j m n j n j njm ne e e e

    However,

  • Signals and Systems

    33

    0 0 0/ 8

    0 / 4

    0 / 20

    0 3 / 2

    0 7 / 4 015 / 8 0 2

  • Signals and Systems

    34

    - We need only consider a frequency interval of length 2, and

    on most cases, we use the interval: or

    - does not have a continually increasing rate of oscillation

    as is increased.lowest-frequency (slowly varying): near 0, 2

    highest-frequency (rapid variation): near ±

    00 2 , 0

    0j ne

    0

    0

    0

    (2 1) ( ) ( 1)j k n j n j n ne e e2 2( ) (1) 1j n j n ne e

  • Signals and Systems

    35

    A set of periodic exponentials which have a

    common period.

    Harmonically Related Signal Sets

    Fundamental (Angular) Frequency : |

    Fundamental Period:

    Common Period:

  • Signals and Systems

    General Complex Exponential Signals

    - CT

    36

    r > 0

    r < 0

    e.g., damped sinusoids

    General format (C and a are complex numbers)

  • Signals and Systems

    General Complex Exponential Signals

    - DT

    37

    General format (C and are complex numbers)

    0 0( )[ ]n nj n j nn jx n C C e e C e

    | | < 1

    | | > 1