Algorithms for Communications Systems and their ApplicationsThis volume presents the logical arithmetical or computational procedures within communications systems that will ensure the solution to various problems. The authors comprehensively introduce the theoretical elements that are at the basis of the field of algorithms for communications systems. Various applications of these algorithms are then illustrated with particular attention to wired and wireless network access technologies. * Provides a complete treatment of algorithms for communications systems, rarely presented together * Introduces the theoretical background to digital communications and signal processing * Features numerous applications including advanced wireless modems and echo cancellation techniques * Includes useful reference lists at the end of each chapter Graduate students in the fields of Telecommunications and Electrical Engineering Researchers and Professionals in the area of Digital Communications, Signal Processing and Computer Engineering will find this book invaluable. |
Contents
The Wiener filter and linear prediction | 129 |
Adaptive transversal filters | 165 |
Bibliography | 229 |
B Identification of a FIR system by PN sequences | 239 |
Noise temperature of a 2port network | 266 |
Relation between noise figure and | 272 |
Digital representation of waveforms | 331 |
CELP coding | 416 |
Channel codes | 827 |
Bibliography | 956 |
Trellis coded modulation | 967 |
Bibliography | 995 |
Bibliography | 1025 |
Selftraining equalization | 1083 |
Applications of interference cancellation | 1115 |
Wired and wireless network technologies | 1145 |
Transmission over dispersive channels | 539 |
| 581 | |
Channel equalization and symbol detection | 619 |
Bibliography | 726 |
Orthogonal frequency division multiplexing | 753 |
Spread spectrum systems | 795 |
Common terms and phrases
adaptive amplitude antenna assume autocorrelation bandwidth baseband binary channel code word coefficients complexity components compute consider convergence convolutional convolutional codes Copt correlation coset decoding defined desired signal detection detector discrete-time elements encoder equal equation equivalent error probability estimate Euclidean distance example expressed frequency response function Gaussian given IEEE Trans illustrated in Figure implementation impulse response information bits input signal instant iterative Jmin linear LMS algorithm matched filter matrix method minimum distance modulation noise observe obtained OFDM optimum orthogonal parameters parity check passband phase Phit PN sequence polynomial polyphase predictor pulse quantizer received signal samples scheme of Figure sequence shown in Figure signal-to-noise ratio statistical power statistically independent subchannel symbols transmitted signal trellis diagram Tsat turbo codes uncoded values vector Viterbi algorithm zero
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