Signals. Periodic vs. Aperiodic. Signals

Similar documents
Computer Networks. Practice Set I. Dr. Hussein Al-Bahadili

Lecture 2: SIGNALS. 1 st semester By: Elham Sunbu

Lecture Fundamentals of Data and signals

Chapter 3 Data and Signals 3.1

Data Concept Analog and Digital Signal Periodic and Non-Periodic Signal Sine Wave Wave length Time and Frequency Domain Composite Signal Bandwidth

Modulation. Digital Data Transmission. COMP476 Networked Computer Systems. Analog and Digital Signals. Analog and Digital Examples.

Signal Characteristics

The quality of the transmission signal The characteristics of the transmission medium. Some type of transmission medium is required for transmission:

Introduction to Communications Part Two: Physical Layer Ch3: Data & Signals

College of information Technology Department of Information Networks Telecommunication & Networking I Chapter DATA AND SIGNALS 1 من 42

Introduction to Telecommunications and Computer Engineering Unit 3: Communications Systems & Signals

Terminology (1) Chapter 3. Terminology (3) Terminology (2) Transmitter Receiver Medium. Data Transmission. Simplex. Direct link.

6. has units of bits/second. a. Throughput b. Propagation speed c. Propagation time d. (b)or(c)

Data and Computer Communications Chapter 3 Data Transmission

Data Communication. Chapter 3 Data Transmission

EC 554 Data Communications

Lecture (01) Data Transmission (I)

Chapter 3 Data Transmission

THE SINUSOIDAL WAVEFORM

Chapter 3. Data Transmission

Circuit Analysis-II. Circuit Analysis-II Lecture # 2 Wednesday 28 th Mar, 18

1/14. Signal. Surasak Sanguanpong Last updated: 11 July Signal 1/14

Chapter 3 Data Transmission COSC 3213 Summer 2003

Data Communications and Networks

Data Communications & Computer Networks

Terminology (1) Chapter 3. Terminology (3) Terminology (2) Transmitter Receiver Medium. Data Transmission. Direct link. Point-to-point.

Review of Lecture 2. Data and Signals - Theoretical Concepts. Review of Lecture 2. Review of Lecture 2. Review of Lecture 2. Review of Lecture 2

Chapter 1. Electronics and Semiconductors

E40M Sound and Music. M. Horowitz, J. Plummer, R. Howe 1

Linear Time-Invariant Systems

CHAPTER 14 ALTERNATING VOLTAGES AND CURRENTS

E40M Sound and Music. M. Horowitz, J. Plummer, R. Howe 1

Chapter 7. Introduction. Analog Signal and Discrete Time Series. Sampling, Digital Devices, and Data Acquisition

P a g e 1 ST985. TDR Cable Analyzer Instruction Manual. Analog Arts Inc.

Chapter 3 Data and Signals

Chapter Two. Fundamentals of Data and Signals. Data Communications and Computer Networks: A Business User's Approach Seventh Edition

2.1 BASIC CONCEPTS Basic Operations on Signals Time Shifting. Figure 2.2 Time shifting of a signal. Time Reversal.

Data Transmission. ITS323: Introduction to Data Communications. Sirindhorn International Institute of Technology Thammasat University ITS323

Chapter 2. Physical Layer

Introduction. Chapter Time-Varying Signals

Spectrum Analysis: The FFT Display

Operating Manual Ver.1.1

Theory of Telecommunications Networks

COMP211 Physical Layer

Basic Concepts in Data Transmission

Part II Data Communications

Alternating voltages and currents

Bakiss Hiyana binti Abu Bakar JKE, POLISAS BHAB

EC310 Security Exercise 20

Lecture 7 Frequency Modulation

Structure of Speech. Physical acoustics Time-domain representation Frequency domain representation Sound shaping

Discrete Fourier Transform (DFT)

Physics 115 Lecture 13. Fourier Analysis February 22, 2018

Data Conversion Circuits & Modulation Techniques. Subhasish Chandra Assistant Professor Department of Physics Institute of Forensic Science, Nagpur

ECE 2111 Signals and Systems Spring 2009, UMD Experiment 3: The Spectrum Analyzer

Laboratory Experience #5: Digital Spectrum Analyzer Basic use

Digital Signal Processing Lecture 1 - Introduction

Introduction to signals and systems

Lecture 2 Physical Layer - Data Transmission

Lecture #2. EE 313 Linear Systems and Signals

Data Acquisition Systems. Signal DAQ System The Answer?

Lab 3 SPECTRUM ANALYSIS OF THE PERIODIC RECTANGULAR AND TRIANGULAR SIGNALS 3.A. OBJECTIVES 3.B. THEORY

2 : AC signals, the signal generator and the Oscilloscope

Lecture 3 Complex Exponential Signals

Fourier Theory & Practice, Part II: Practice Operating the Agilent Series Scope with Measurement/Storage Module

Chapter 6: Periodic Functions

Basic Signals and Systems

Chapter 2. Fourier Series & Fourier Transform. Updated:2/11/15

Signals, systems, acoustics and the ear. Week 3. Frequency characterisations of systems & signals

Frequency Division Multiplexing Spring 2011 Lecture #14. Sinusoids and LTI Systems. Periodic Sequences. x[n] = x[n + N]

The Discrete Fourier Transform. Claudia Feregrino-Uribe, Alicia Morales-Reyes Original material: Dr. René Cumplido

Channel Characteristics and Impairments

Data and Computer Communications. Chapter 3 Data Transmission

Acoustics, signals & systems for audiology. Week 3. Frequency characterisations of systems & signals

Digital Video and Audio Processing. Winter term 2002/ 2003 Computer-based exercises

Waves, Wavelength, Frequency and. Bands. Al Penney VO1NO

SAMPLING THEORY. Representing continuous signals with discrete numbers

Complex Sounds. Reading: Yost Ch. 4

New Features of IEEE Std Digitizing Waveform Recorders

Massachusetts Institute of Technology Dept. of Electrical Engineering and Computer Science Fall Semester, Introduction to EECS 2

Lecture 3 Concepts for the Data Communications and Computer Interconnection

E-716-A Mobile Communications Systems. Lecture #2 Basic Concepts of Wireless Transmission (p1) Instructor: Dr. Ahmad El-Banna

LRC Circuit PHYS 296 Your name Lab section

Outline / Wireless Networks and Applications Lecture 3: Physical Layer Signals, Modulation, Multiplexing. Cartoon View 1 A Wave of Energy

ECE 2111 Signals and Systems Spring 2012, UMD Experiment 9: Sampling

Series and Parallel Resonance

Announcement : Wireless Networks Lecture 3: Physical Layer. A Reminder about Prerequisites. Outline. Page 1

Local Oscillator Phase Noise and its effect on Receiver Performance C. John Grebenkemper


Ș.l. dr. ing. Lucian-Florentin Bărbulescu

LAB 2 SPECTRUM ANALYSIS OF PERIODIC SIGNALS

Real Analog - Circuits 1 Chapter 11: Lab Projects

ENGR 210 Lab 12: Sampling and Aliasing

Chapter 3. Amplitude Modulation Fundamentals

Physics 326 Lab 8 11/5/04 FOURIER ANALYSIS AND SYNTHESIS

Acoustics, signals & systems for audiology. Week 4. Signals through Systems

ECE 201: Introduction to Signal Analysis

ME scope Application Note 01 The FFT, Leakage, and Windowing

Announcements : Wireless Networks Lecture 3: Physical Layer. Bird s Eye View. Outline. Page 1

Frequency-Domain Sharing and Fourier Series

Transcription:

Signals 1 Periodic vs. Aperiodic Signals periodic signal completes a pattern within some measurable time frame, called a period (), and then repeats that pattern over subsequent identical periods R s. t. s(t + ) = s(t), t -, + is the smallest value that satisfies the equation is (typically) expressed in seconds aperiodic signal changes without exhibiting a pattern that repeats over time t t+ t+2 periodic analog signal periodic digital signal

Analog Signals 2 Classification of Analog Signals (1) Simple Analog Signal cannot be decomposed into simpler signals sinewave most fundamental form of periodic analog signal mathematically described with 3 parameters s(t) = A sin(2πft + ϕ) (1.1) peak amplitude (A) absolute value of signal s highest intensity unit: volts [V] (1.2) frequency (f) number of periods in one second unit: hertz [Hz] = [1/s] period and frequency are inverses of each other! he origin is usually taken as the last previous passage through zero from the negative to the positive direction. (1.3) phase (φ) absolute position of the waveform relative to an arbitrary origin unit: degrees [º] or radians [rad] A = 1/f 0[s] 1[s] (2) Composite Analog Signal composed of multiple sinewaves

Simple Analog Signals 3 Phase in Simple Analog Signals measured in degrees or radians 360º = 2π rad 1º = 2π/360 rad 1 rad = (360/2π)º = 57.29578 phase shift of 360º = shift of 1 complete period phase shift of 180º = shift of 1/2 period phase shift of 90º = shift of 1/4 period 5V 1s φ = 0º or 360º φ = 90º φ = 180º

Analog Signals 4 Example [ period and frequency ] Unit Equivalent Unit Equivalent seconds (s) 1 s hertz (Hz) 1 Hz milliseconds (ms) 10 3 s kilohertz (KHz) 10 3 Hz microseconds (μs) 10 6 s megahertz (MHz) 10 6 Hz nanoseconds (ns) 10 9 s gigahertz (GHz) 10 9 Hz picoseconds (ps) 10 12 s terahertz (Hz) 10 12 Hz units of period and respective frequency (a) Express a period of 100 ms in microseconds. 100 ms = 100 10-3 s = 100 10-3 10 6 μs = 10 5 μs (b) Express the corresponding frequency in kilohertz. 100 ms = 100 10-3 s = 10-1 s f = 1/10-1 Hz = 10 10-3 KHz = 10-2 KHz

Simple Analog Signals 5 Frequency in Simple Analog Signals rate of signal change with respect to time change in a short span of time high frequency change over a long span of time low frequency signal does not change at all zero frequency ( signal never completes a cycle = f=0 ) DC signal signal changes instantaneously frequency ( signal completes a cycle in =0 f= ) ime Domain Plot specifies signal amplitude at each instant of time does NO express explicitly signal s phase and frequency Frequency Domain Plot specifies peak amplitude with respect to frequency phase CANNO be shown in the frequency domain

Simple Analog Signals 6 One spike in frequency domain shows two characteristics of the signal: spike position = signal frequency, spike height = peak amplitude. Analog signals are best represented in the frequency domain.

Composite Analog Signals 7 Fourier Analysis any composite signal can be represented as a combination of simple sine waves with different frequencies, phases and amplitudes periodic composite signal (period=, frequency = f 0 =1/) can be represented as a sum of simple sines/cosines known as Fourier series: s(t) = With the aid of good table of integrals, it is easy to determine the frequency-domain nature of many signals. A 0 + t) n 0 n 0 2 n= 1 [ A cos(2πnf t) + B sin(2πnf ] A B n n 2 = s(t)cos(2πnf 0 2 = s(t)sin(2πnf 0 0 0 t)dt, n = 0,1,2, t)dt, n = 1,2,3, f 0 is referred to as fundamental frequency integer multiples of f 0 are referred to as harmonics

Composite Analog Signals (cont.) 8 Angular Frequency aka radian frequency number of 2π revolutions during a single period of a given signal ω = 2π = 2π simple multiple of ordinary frequency s(t) = A 0 + t) n 0 n 0 2 n= 1 [ A cos(nω t) + B sin(nω ] 2 An = s(t)cos n 0t)dt n = 0,1,2,... ( ω, 0 2 Bn = s(t)sin n 0t)dt n = 1,2,... ( ω, 0

Composite Analog Signals (cont.) 9 Example [ periodic square wave ] No DC component!!! 4A 4A 4A s(t) = sin(2πft) + sin(2π(3f)t) + sin(2π(5f)t) +... π 3π 5π three harmonics adding three harmonics With three harmonics we get an approximation of a square wave. o get the actual square, all harmonics up to should be added. http://www.nst.ing.tu-bs.de/schaukasten/fourier/en_idx.html http://www.phy.ntnu.edu.tw/java/sound/sound.html

Composite Analog Signals (cont.) 10 Frequency Spectrum of Analog Signal Absolute Bandwidth of Analog Signal Effective Bandwidth of Analog Signal range (set) of frequencies that signal contains width of signal spectrum: B = f highest -f lowest range of frequencies where signal contains most of its power/energy square wave 3-harmonic representation

Composite Analog Signals (cont.) 11 Example [ frequency spectrum and bandwidth of analog signal ] A periodic signal is composed of five sinewaves with frequencies of 100, 300, 500, 700 and 900 Hz. What is the bandwidth of this signal? Draw the frequency spectrum, assuming all components have a max amplitude of 10V. Solution: B = f highest -f lowest = 900-100 = 800 Hz he spectrum has only five spikes, at 100, 300, 500, 700, and 900.

Composite Analog Signals (cont.) 12 Example [ frequency spectrum of a data pulse ] 2Aτ sin πn πnτ ( τ ) sin( π f τ ) π f τ or sin(x) x envelope of frequency spectrum periodic signal discrete frequency spectrum aperiodic signal continuous frequency spectrum What happens if τ 0???

Exercise 13 1. Before data can be transmitted, they must be transformed to. (a) periodic signals (b) electromagnetic signals (c) aperiodic signals (d) low-frequency sinewaves 2. In a frequency-domain plot, the vertical axis measures the. (a) peak amplitude (b) frequency (c) phase (d) slope 3. In a time-domain plot, the vertical axis measures the. (a) peak amplitude (b) amplitude (c) frequency (d) time 4. If the bandwidth of a signal is 5 KHz and the lowest frequency is 52 KHz, what is the highest frequency. (a) 5 KHz (b) 10 KHz (c) 47 KHz (d) 57 KHz

Exercise 14 5. If one of the components of a signal has a frequency of zero, the average amplitude of the signal. (a) is greater than zero (b) is less than zero (c) is zero (d) (a) or (b) 6. Give two sinewaves A and B, if the frequency of A is twice that of B, then the period of B is that of A. (a) one-half (b) twice (c) the same as (d) indeterminate from 7. A device is sending out data at the rate of 1000 bps. (a) How long does it take to send out 10 bits? (b) How long does it take to send out a single character (8 bits)? (c) How long does it take to send a file of 100,000 characters?