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Signals The main function of the physical layer is moving information in the form of electromagnetic signals across a transmission media. Information can be in the form of data, voice, picture, and so on. Generally the information usable to a person or application is not in a form that can be transmitted over a network.

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The information must be converted into a form that transmission media can accept. Transmission media work by conducting energy along a physical path. So a data stream of 1s and 0s must be turned into energy in the form of electromagnetic signals. A signal is the physical representation of a certain information.

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Signals and data are classified as analog or digital. Analog refers to something that is continuous- a set of data and all possible points between. An example of analog data is the human voice. Digital refers to something that is discrete –a set of specific points of data with no other points in between. An example of digital data is data stored in the memory of a computer in the form of 0s and 1s.

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An analog signal is a continuous wave form that changes smoothly. As the wave moves from a value A to a value B, it passes through and includes an infinite number of values along its path. A digital signal can have only a limited number of defined values, often as simple as 1 and 0.

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Comparison of analog and digital signals Signals can be analog or digital. Analog signals can have an infinite number of values in a range; digital signals can have only a limited number of values.

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Periodic and aperiodic Signals Both analog and digital signals can be of two forms: periodic and aperiodic (non-periodic) signals. A signal periodic signal consists a continuously repeated pattern. The completion of one full pattern is called a cycle. A period is defined as the amount of time (expressed in seconds) required to complete one full cycle.

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Periodic and aperiodic Signals An aperiodic signal changes constantly without exhibiting a pattern or cycle that repeats over the time. Remark: By using Fourier Transform it is possible to decompose an aperiodic signal into an infinite number of periodic signals (see appendix D)

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Analog signals Analog signals can be classified as simple or composite. A simple analog signal or sine wave, cannot be decomposed into simpler signals. A composite analog signal is composed of multiple sine waves.

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Sine waves can be fully described by three characteristics: amplitude, period, frequency and phase. Amplitude: on a graph, the 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 from the horizontal axis. Amplitude is measured In volts, amperes, or watts, depending on the type of Signal.

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Period and Frequency: period refers to the amount of time, in seconds, a signal needs to complete one cycle. Frequency refers to the number of periods in one second. The frequency of a signal its number of cycles per second. Frequency is the rate of change with respect to time. Change in a short span of time means high frequency. Change over a long span of time means low frequency. If a signal does not change at all, its frequency is zero. If a signal changes instantaneously, its frequency is infinite.

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Table 3.1 Units of periods and frequencies UnitEquivalentUnitEquivalent Seconds (s)1 shertz (Hz)1 Hz Milliseconds (ms)10 –3 skilohertz (KHz)10 3 Hz Microseconds (ms)10 –6 smegahertz (MHz)10 6 Hz Nanoseconds (ns)10 –9 sgigahertz (GHz)10 9 Hz Picoseconds (ps)10 –12 sterahertz (THz)10 12 Hz

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Frequency and Period Period is the amount of time it takes a signal to complete one cycle. Frequency is the number of cycles per second. Frequency=1/Period Period=1/Frequency

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Example 1 Express a period of 100 ms in microseconds, and express the corresponding frequency in kilohertz. Solution From Table 3.1 we find the equivalent of 1 ms.We make the following substitutions: 100 ms = 100 10 -3 s = 100 10 -3 10 s = 10 5 s Now we use the inverse relationship to find the frequency, changing hertz to kilohertz 100 ms = 100 10 -3 s = 10 -1 s f = 1/10 -1 Hz = 10 10 -3 KHz = 10 -2 KHz

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Phase The term phase describes the position of the waveform relative to time zero. The phase is measured in degrees or radians (360 degrees is 2 radians)

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TIME AND FREQUENCY DOMAINS Time-domain representation Frequency-domain representation

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Time and frequency domains

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Time and frequency domains (continued)

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Periodic Composite Signals A single-frequency sine wave is not useful in data communications; we need to change one or more of its characteristics to make it useful. According to Fourier analysis, any composite signal can be represented as a combination of simple sine waves with different frequencies, phases, and amplitudes.

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Frequency spectrum comparison

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Note: Direct current (DC) component

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Frequency Spectrum and Bandwidth The frequency spectrum of a signal is the collection of all the component frequencies it contains and is shown using a frequency-domain graph. The bandwidth of a signal is the width of the frequency spectrum, i.e., bandwidth refers to the range of component frequencies. To compute the bandwidth, subtract the lowest frequency from the highest frequency of the range.

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Bandwidth

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Example 3 If a periodic signal is decomposed into five sine waves with frequencies of 100, 300, 500, 700, and 900 Hz, what is the bandwidth? Draw the spectrum, assuming all components have a maximum amplitude of 10 V. Solution B = f h f l = 900 100 = 800 Hz The spectrum has only five spikes, at 100, 300, 500, 700, and 900 (see Figure 13.4 )

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Example 3

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Example 4 A signal has a bandwidth of 20 Hz. The highest frequency is 60 Hz. What is the lowest frequency? Draw the spectrum if the signal contains all integral frequencies of the same amplitude. Solution B = f h f l 20 = 60 f l f l = 60 20 = 40 Hz

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Example 4

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Composite signals and transmission media A medium may pass some frequencies and may block others. This means that when we send a composite signal, containing many frequencies, at one end of the transmission medium, we may not receive the same signal at the other end. A digital signal is a composite signal with an infinite bandwidth.

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Composite signals and transmission media The range of frequencies that a medium can pass is called its bandwidth. The bandwidth is a property of a medium: It is difference between the highest and the lowest frequencies that the medium can satisfactorily pass. If bandwidth of a medium does not mach the spectrum of a signal, some of the frequencies are lost.

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Example 5 A signal has a spectrum with frequencies between 1000 and 2000 Hz (bandwidth of 1000 Hz). A medium can pass frequencies from 3000 to 4000 Hz (a bandwidth of 1000 Hz). Can this signal faithfully pass through this medium? Solution The answer is definitely no. Although the signal can have the same bandwidth (1000 Hz), the range does not overlap. The medium can only pass the frequencies between 3000 and 4000 Hz; the signal is totally lost.

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Digital Signals Most of the digital signals are aperiodic and, thus period or frequency is not appropriate. Bit interval ( instead of period) and Bit rate (instead of frequency) The bit interval is the time required to send one single bit. The bit rate is the number of bit intervals in one second, usually expressed in bits per second (bps).

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Example 6 A digital signal has a bit rate of 2000 bps. What is the duration of each bit (bit interval) Solution The bit interval is the inverse of the bit rate. Bit interval = 1/ 2000 s = 0.000500 s = 0.000500 x 10 6 s = 500 s

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Digital Signals A digital signal is a composite signal with an infinite bandwidth. It is possible to send digital data through a band-limited medium, such as a telephone line. What is the minimum required bandwidth B in Hertz if we want to send n bps?

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n<=2B ( n in bps and B in Hertz) The bit rate and the bandwidth are proportional to each other.The bit rate and the bandwidth are proportional to each other. The analog bandwidth of a medium is expressed in hertz; the digital bandwidth, in bits per second.The analog bandwidth of a medium is expressed in hertz; the digital bandwidth, in bits per second. Bit Rate Harmonic 1 Harmonics 1, 3 Harmonics 1, 3, 5 Harmonics 1, 3, 5, 7 1 Kbps500 Hz2 KHz4.5 KHz8 KHz 10 Kbps5 KHz20 KHz45 KHz80 KHz 100 Kbps50 KHz200 KHz450 KHz800 KHz

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Low-pass and band-pass

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1 Lecture 27 Physical Layer (Data and Signals) University of Nevada – Reno Computer Science & Engineering Department Fall 2010 CPE 400 / 600 Computer Communication.

1 Lecture 27 Physical Layer (Data and Signals) University of Nevada – Reno Computer Science & Engineering Department Fall 2010 CPE 400 / 600 Computer Communication.

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