ITGD3101Modern Telecommunications Lecture-1- Pulse Code Modulation week 1- S1/ Dr. Anwar Mousa University of Palestine Faculty of Information Technology
2 DATETOPICS Week 1 Course description-Sampling Theorem Week 2 Pulse Code Modulation Week 3 Pulse Code Modulation Week 4 Principles of Data transmission- Digital communications systems Week 5 Line coding Week 6 Line coding Week 7 Pulse shaping Week 8 Mid-Term Exam Week 9 Detection-Error Probability Week 10 M-ary communications Week 11 Optimum Threshold Detection Week 12 Signal space Week 13 Optimum receiver Week 14 Error Correcting Codes Linear Block Codes Week 15 FINAL EXAM Week 16 FINAL EXAM
UP-Copyrights reserved3 Instructor Information Office location: Office hours: Phone: 1115 Research interests:
UP-Copyrights reserved4 Textbook and Software Require textbook: B.P. Lathi, Modern Digital and Analog Communication Systems, 3 rd edition, Oxford University Press, 1998 Recommended readings Digital communications: J. Proakis, Digital Communications Random process: G.R. Grimmett and D.R. Stirzaker, Probability and Random Processes Estimation and detection: H.V. Poor, An introduction to Signal Detection and Estimation
UP-Copyrights reserved5 Homework, Project, and Exam Homework 1 assignment per week Exams Two exams: Midterm and Final Participations Attendance and Feedback
UP-Copyrights reserved6 Teaching Styles Slides plus Whiteboard Slides can convey more information in an organized way Whiteboard is better for equations and prevents you from not coming. Course Website Print handouts with 3 slides per page before you come Homework assignment and solutions Feedback Too fast, too slow Presentation
UP-Copyrights reserved7 Course Outline (Chapter 6) Sampling and Pulse Code Modulation Sampling Theorem Pulse Code Modulation (PCM) (Chapter 7)
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UP-Copyrights reserved9 Course Outline (Chapter 13) Behavior of Digital communication systems in the presence of Noise Optimum Threshold Detection Optimum Binary Receiver M-ary Communications (Chapter 14)
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UP-Copyrights reserved12 Contents Sampling theorem Quantization Pulse Code Modulation
UP-Copyrights reserved13 Aperiodic signal representation by Fourier Transform
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UP-Copyrights reserved16 Today, we are going to talk about: The first important step in any DCS: Transforming the information source to a form compatible with a digital system
UP-Copyrights reserved17 Encode Transmit Pulse modulate SampleQuantize Demodulate/ Detect Channel Receive Low-pass filter Decode Pulse waveforms Bit stream Format Digital info. Textual info. Analog info. Textual info. Analog info. Digital info. source sink Formatting and transmission of baseband signal
UP-Copyrights reserved18 Format analog signals To transform an analog waveform into a form that is compatible with a digital communication, the following steps are taken: 1.Sampling 2.Quantization and encoding 3.Baseband transmission
UP-Copyrights reserved19 Sampling theorem
UP-Copyrights reserved20 Sampling theorem
UP-Copyrights reserved21 Sampling theorem
UP-Copyrights reserved22 Sampling theorem
UP-Copyrights reserved23 Sampling theorem
UP-Copyrights reserved24 Sampling theorem Sampling theorem: A bandlimited signal with no spectral components beyond, can be uniquely determined by values sampled at uniform intervals of The sampling rate, is called Nyquist rate.
UP-Copyrights reserved25 Sampling theorem
UP-Copyrights reserved26 Sampling theorem
UP-Copyrights reserved27 Pulse Code Modulation (PCM).
UP-Copyrights reserved28 Pulse Code Modulation (PCM).
UP-Copyrights reserved29 Pulse Code Modulation (PCM).
UP-Copyrights reserved30 Quantization example t Ts: sampling time x(nTs): sampled values xq(nTs): quantized values boundaries Quant. levels PCM codeword PCM sequence amplitude x(t)
UP-Copyrights reserved31 Pulse Code Modulation (PCM).
UP-Copyrights reserved32 Pulse Code Modulation (PCM).
UP-Copyrights reserved33 Pulse Code Modulation (PCM).
UP-Copyrights reserved34 Advantages of Digital Communications
UP-Copyrights reserved35 Advantages of Digital Communications
UP-Copyrights reserved36 Advantages of Digital Communications
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UP-Copyrights reserved43 Summary We have studies the following topics: Sampling theorem Quantization Pulse Code Modulation