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Electronic Communications: A Systems Approach Beasley | Hymer | Miller Copyright © 2014 by Pearson Education, Inc. All Rights Reserved Information and Bandwidth Bandwidth Defines frequency range over which a circuit or system operates. Greater the bandwidth, greater the amount of information transferred. Hartley’s law Information transmitted directly proportional to product of bandwidth used and time of transmission
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Electronic Communications: A Systems Approach Beasley | Hymer | Miller Copyright © 2014 by Pearson Education, Inc. All Rights Reserved Information and Bandwidth Bandwidth Radio-frequency spectrum is a scarce and valuable public resource.
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Electronic Communications: A Systems Approach Beasley | Hymer | Miller Copyright © 2014 by Pearson Education, Inc. All Rights Reserved Information and Bandwidth Understanding Frequency Spectra The locations on spectrum of all frequencies produced as the result of modulation are what determine bandwidth of the modulated signal. Fourier: developed means to break down periodic waveforms into a series of sine and/or cosine waves at multiples of the fundamental frequency.
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Electronic Communications: A Systems Approach Beasley | Hymer | Miller Copyright © 2014 by Pearson Education, Inc. All Rights Reserved Information and Bandwidth Time- and Frequency-Domain Representations Time domain Waveform amplitude as a function of time Oscilloscope is a time-domain representation.
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Electronic Communications: A Systems Approach Beasley | Hymer | Miller Copyright © 2014 by Pearson Education, Inc. All Rights Reserved Table 1-3 Fourier Expressions for Selected Periodic Waveforms, f = 1/T, 2πf = ω
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Electronic Communications: A Systems Approach Beasley | Hymer | Miller Copyright © 2014 by Pearson Education, Inc. All Rights Reserved Information and Bandwidth Time- and Frequency-Domain Representations Frequency domain Amplitude viewed as function of frequency rather than of time Spectrum analyze Signals in frequency domain
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Electronic Communications: A Systems Approach Beasley | Hymer | Miller Copyright © 2014 by Pearson Education, Inc. All Rights Reserved Figure 1-5 (a) Fundamental frequency (sin ωt); (b) the addition of the first and third harmonics (sin ωt + 1/3 sin 3 ωt); (c) addition of the first, third, and fifth harmonics (sin ωt + 1/3 sin 3 ωt + 1/5 sin 5 ωt); (d) addition of the first 13 odd harmonics; (e) addition of the first 51 harmonics.
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Electronic Communications: A Systems Approach Beasley | Hymer | Miller Copyright © 2014 by Pearson Education, Inc. All Rights Reserved Information and Bandwidth The Fast Fourier Transform Conversion from time to frequency domain approximated with fast Fourier transform (FFT). Algorithm suited to computer-based implementation. It allows for large number of calculations to be reduced to a manageable number through elimination of redundancies.
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Electronic Communications: A Systems Approach Beasley | Hymer | Miller Copyright © 2014 by Pearson Education, Inc. All Rights Reserved Figure 1-7 A 1-kHz square wave and its FFT representation.
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