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|a 9781000654639
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|a 9781280640216
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|a 6610640211
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|a 1420013343
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|a 9781420013344
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|a TK5103.7
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|a Mitlin, Vladimir S.
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|a Performance optimization of digital communications systems
|c Vladimir Mitlin
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|a Boca Raton
|b Auerbach Publications
|c 2006
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| 300 |
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|a xi, 208 pages
|b illustrations
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|a Includes bibliographical references and index
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|a Optimization of FEC and ARQ Parameters in Both Directions; Conclusions; ; A Quantitative Procedure of Optimizing the MAC Packet; Size in TCP/IP-Compliant Networks; Background; Statement of the Problem of Optimizing the MAC Packet Size; in TCP/IP-Compliant Networks; Derivation of Equation 10.2.6; Determining the Optimal MAC Packet Size in the Case of a; Variable MAC Frame Length; Solution to the Problem and Decision Diagrams; Extension of the Method in the Case of a Fixed MAC Frame; Length; Extension of the Method to Account for Error Detection; and Retransmission in the TCP/IP Protocol; Application to 802.11-Compliant Networks; Conclusions; ; Appendices; A; Optimization Puzzles; ; B; MATLAB Scripts for the Bandwidth Optimization Problem; ; C; More about Flat Spectrum Chirps
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|a Given the SER Past FEC/ARQ; Determining an Average Fraction of Erroneous Bits in an; Erroneous QAM Symbol; Conclusions; ; Optimal Selection of Error Correction and Retransmission; Parameters in Multichannel Communications Systems; Background; Performance Gain Due to FEC/ARQ in Discrete Multitone; Systems; Mean-Field Approximation for Multicarrier Channel; with ARQ; An Approximate Solution of Equation 7.2.2; Optimization of FEC and ARQ Parameters for Current ADSL; Standards; Conclusions; ; Bit Error Rate of Self-Similar Constellations; in ADSL Systems; Background; Self-Similarity of ADSL QAM Constellations; Error Probability Function of an ADSL QAM Constellation Encoder; Nonsquare Constellations: An Asymptotic Analysis; Comparison with Numerical Simulations; Conclusions; ; Throughput Optimization in a General Duplex; Communications System with FEC and ARQ; Background; A System Model with FEC and ARQ; Joint
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|a Constant Envelope Principle; Flat Spectrum Chirps; Simulations of Multicarrier Transmission; Possible Applications of FSC; Conclusions; ; Optimization of the Automatic Repeat Request Parameters; in Quadrature Amplitude Modulation Channels; Background; Derivation of the BER of a QAM Channel with FEC and ARQ; ARQ Performance Gain; A Method of Estimating the ARQ Gain; A Procedure for Determining the Optimum ARQ Parameters; Extension of the Method for the Case of a Slowly Fading; Channel; Determining the Average Number of Transmissions and the; Uncoded SER
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|a Introduction; About This Book; Acknowledgments; ; Method for Determining the Quality of a; Communication Channel; Background; Main Idea Illustrated and a Minimization Principle; Phase-Spanning Nyquist Set Test; Frequency-Spanning Nyquist Set Test; Determining the Noise Level in a Nonbaseband System; Measuring the Level of a Useful Signal; Conclusions; ; Digital Communications in Stealth Mode; Background; Stealth Communications Transceiver; Test on Randomness; BER Performance; Using a Decoy Signal; Conclusions; ; Pulse Shape Optimization; Background; Pulse Shape Optimization Criterion; SO-Pulse and L-Pulse; Phi-Pulse; BER Test; Approximation of Pulses by SAS; Data Windows Corresponding to the Pulses Introduced; Raised Pulses; Conclusions; ; Optimal Phase Shifters for Peak-to-Average Power Ratio; Reduction in Multicarrier Communication Systems; Background; Optimal Phase Shifters and the
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| 653 |
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|a TECHNOLOGY & ENGINEERING / Telecommunications / bisacsh
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| 653 |
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|a Digital communications / fast
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|a Transmission numérique
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|a Network performance (Telecommunication) / fast
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|a Network performance (Telecommunication) / http://id.loc.gov/authorities/subjects/sh00000222
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|a Digital communications / http://id.loc.gov/authorities/subjects/sh85037972
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| 653 |
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|a Performance des réseaux (Télécommunications)
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|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 015 |
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|a GBB7C6431
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| 024 |
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|a 10.1201/9781420013344
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|z 9780849368967
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| 776 |
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|z 1420013343
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| 776 |
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|z 0849368960
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|z 9781420013344
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781420013344/?ar
|x Verlag
|3 Volltext
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|a 331
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|a 384
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|a 621.382
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|a 620
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|a Because fine-tuning the parameters of a system is critical to a developer's success, Performance Optimization of Digital Communications Systems examines particular optimization problems in digital communications, presenting analytical techniques in combination with SystemView and MATLAB® simulations. Consisting of ten chapters, this monograph presents a unique method for determining the quality of a communications channel - a great advantage to any company that uses this method. The book presents a method for the transmission of proprietary data. It also describes the means to reduce the peak-
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