Fundamentals of Digital CommunicationCambridge University Press, 6 mar 2008 - 499 pagine This is a concise presentation of the concepts underlying the design of digital communication systems, without the detail that can overwhelm students. Many examples, from the basic to the cutting-edge, show how the theory is used in the design of modern systems and the relevance of this theory will motivate students. The theory is supported by practical algorithms so that the student can perform computations and simulations. Leading edge topics in coding and wireless communication make this an ideal text for students taking just one course on the subject. Fundamentals of Digital Communications has coverage of turbo and LDPC codes in sufficient detail and clarity to enable hands-on implementation and performance evaluation, as well as 'just enough' information theory to enable computation of performance benchmarks to compare them against. Other unique features include space-time communication and geometric insights into noncoherent communication and equalization. |
Sommario
| 1 | |
| 7 | |
Demodulation | 74 |
Synchronization and noncoherent communication | 153 |
Channel equalization | 199 |
Informationtheoretic limits and their computation | 252 |
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approximation arg max asymptotic average AWGN channel bandwidth BCJR algorithm binary BPSK capacity channel model Chapter check nodes Chernoff bound coherent complex baseband complex-valued component compute conditional Consider constellation convolutional codes correlator corresponding covariance decision rule decision statistics defined demodulation denote density differential entropy discrete-time discuss distribution encoder entropy equal error events error probability estimate follows frequency Gaussian random variable given Gray coding hard decisions implementation information bits inner product input iterative decoding linear modulation LLRs M-ary matched filter matrix MLSE noise noncoherent Nyquist obtain OFDM optimal orthogonal signaling output parameter passband signal performance phase Problem proper complex Gaussian pulse QPSK random process random vector Rayleigh fading real-valued received signal running example samples sequence Show shown in Figure signal space symbol rate Theorem transfer function transmitted trellis turbo codes typically union bound users variable nodes Viterbi algorithm waveform wireless
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