 Signals  Analog and Digital  Analog and Digital Data & Signals  Periodic & Aperiodic Signals.

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Presentation transcript:

 Signals  Analog and Digital  Analog and Digital Data & Signals  Periodic & Aperiodic Signals

 Information can be voice, image, numeric data, characters or any message that is readable and has meaning to the destination  Generally, the information is not in a form that can be transmitted over a Link  The binary digits must be converted into a form that Transmission Medium can accept  The data stream of 1s and 0s must be turned into Signals

 ANALOG ◦ Refers to something that is Continuous  CONTINUOUS ◦ A set of specific points of data and all possible points between them

 DIGITAL ◦ Refers to something that is Discrete  DISCRETE ◦ A set of specific points of data with no points in between

 Analog Data ◦ Human Voice ◦ Analog Clock  Digital Data ◦ Data stored in the memory of a computer ◦ Digital Clock

 It is a continuous waveform that changes smoothly over time  As the wave moves from value ‘ A’ to value ‘B’, it passes through and includes an infinite number of values along its path  A digital signal is discrete. It can have only a limited number of defined values, often as simple as 1s and 0s  The transition of a digital signal from value to value is instantaneous like a light being switched ON and OFF

Periodic Signals (Analog or Digital) Aperiodic

A signal is called Periodic if it completes a pattern within a measurable time frame called a Period and then repeats that pattern over identical subsequent Periods. The completion of one full period is called a cycle.

An Aperiodic or Non-Periodic signal is the one that changes constantly without exhibiting a pattern or cycle that repeats over time

 Analog signals can be classified into: ◦ Simple Analog Signal (Sine wave) ◦ Composite Analog Signal

 Sine waves can be fully described: ◦ Amplitude ◦ Period / Frequency ◦ Phase

 Amplitude of a signal is the value of the signal at any point on the wave  It is equal to the vertical distance from a given point on the wave form to the horizontal axis  The maximum amplitude of the sine wave is equal to the highest value it reaches on the vertical axis  Amplitude measured in Volts, Amperes or Watts

 Period: Amount of time ( in seconds) a signal need to complete one cycle  Frequency: Number of cycles completed in one second  Unit of Period: Period is expressed in seconds

T= 1 / f OR f=1 / T

Seconds____Hertz Milliseconds____Kilohertz Microseconds____Megahertz Nanoseconds____Gigahertz Picoseconds____Terahertz

 A Sine wave has a frequency of 6 Hz. What is its period?  Solution

 A Sine wave completes one cycle in 4 seconds. What is its frequency?  Solution:

 Measurement of the rate of change  How fast the wave moves from its lowest to its highest point  A 40 Hz signal has half the frequency of a 80 Hz signal, therefore each cycle takes twice as long to complete one cycle  Changes in Short Time: High Frequency

 No change at all   Zero frequency  Instantaneous changes   Infinite frequency Change in a short span of time means high frequency.  Change over a long span of time means low frequency.

 Phase describes the position of the waveform relative to time zero  Phase describes the amount of backward or forward shift of the waveform  Measured in Degrees or Radians

 It indicates the status of the first cycle  Phase is measured in Degrees or Radians  360 degrees – 2 pi Radians  A phase shift of 360 degrees correspond to a shift of a complete period

 A sine wave is offset of a cycle with respect to time zero. What is its phase?

 Wavelength binds the period or the frequency of a simple sine wave to the propagation speed of medium  Frequency of signal is independent of the medium, while the wave length depends on both frequency and medium  Wavelength is the distance a simple signal can travel in one period Wavelength = propagation speed * Period

 Signal can be controlled by three attributes: ◦ Amplitude ◦ Frequency ◦ Phase

 Time Domain plots show changes in signal amplitude w.r.t Time  It is an Amplitude versus Time Plot  Phase and Frequency are not explicitly measured on a Time domain plot  To show the relationship between amplitude and Frequency, we can use what is called a Frequency Domain Plot

 Second type of Analog Signals, that is composed of multiple sine waves  So far we have been focused on simple periodic signals or sine waves  Many useful sine waves do not change in a single smooth curve b/w minimum and a maximum amplitude.  They jump, slide, wobble and spikeAs long as as any irregularities are consistent, cycle after cycle, a signal is still Periodic  It can be shown that any periodic signal no matter how complex can be decomposed into a collection of sine waves, each having a measurable amplitude, frequency & phase  We need FOURIER ANALYSIS to decompose a composite signal into its components