By Fuqin Xiong
IEEE Communications known as the 1st variation "extremely useful...likely to develop into a typical reference" - and engineers around the globe have agreed! This newly revised and increased version of an Artech condominium vintage builds on its good fortune as a long way and away the main finished advisor to electronic modulation strategies utilized in communications sign processing this present day. It devotes 5 new chapters to orthogonal frequency department multiplexing (OFDM), the most popular new bandwidth-efficient approach, and comprises new modulations for optical communications. It additionally provides a fast-access comparability of all modulation schemes that would end up well liked by engineers for any variety of study and layout initiatives.
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Additional resources for Digital Modulation Techniques, Second Edition (Artech House Telecommunications Library)
Sample text
It also should be pointed out that practical detectors for line codes are often not optimum in order to simplify circuitry. However, the performance of an optimum detector can always serve as a reference for comparison. Substitution codes and block line codes are more complicated codes with improved performance over basic line codes. 6. Pulse time modulation is a family of ‘‘pulse analog’’ baseband 19 20 Digital Modulation Techniques modulation, primarily designed for optical transmission. 7. 8 summarizes this chapter.
However, the bandwidth of an RZ format is wider than that of an NRZ format, as we will see shortly. In the unipolar RZ format, a binary 1 is represented by a positive pulse for a halfbit period then returns to zero level for the next half period, resulting in a transition in the middle of the bit. A binary 0 is represented by the zero level for the entire bit period. Since there are no transitions in a string of 0s, precoding or scrambling is needed to eliminate long strings of 0s. This format also has a dc component since it 1 Since NRZ-L waveform is the most common waveform in the digital circuit, it is chosen as the ultimate decoding result of line codes in our discussion.
Therefore digital signals derived from these signals are also random. Data signals are also essentially random. , nonzero only in [0, T ]). Let us name g(t) as symbol function. It could be any signal with a Fourier transform. For example it could be a baseband symbol shaping pulse or a burst of modulated carrier at passband. The random sequence {ak } could be binary or nonbinary. 12) n=−∞ where ω = 2πf. G(f) is the Fourier transform of g(t) and R(n) is the autocorrelation function of random sequence {ak }, defined as R(n) = E{ak ak+n }, where E{x} is the probabilistic average of x.
