Understanding Data and Signal Fundamentals in Digital Communication
This session will provide students with a comprehensive understanding of the fundamental concepts of data and signals in communication systems. By the end, participants will distinguish between digital and analog data, recognize the advantages of digital signals, identify basic signal components, discuss signal bandwidth, and learn how attenuation affects signal strength. Additionally, students will explore various digital encoding techniques, modulation methods, digitization processes, and the significance of spread spectrum techniques. Diagrams and practical examples will enhance their learning experience.
Understanding Data and Signal Fundamentals in Digital Communication
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Presentation Transcript
Objectives: By the end of this session, the student will be able to: • Distinguish between data and signals. Cite the advantages of digital data and signals over analog data and signals • Identify the 3 basic components of a signal • Discuss the bandwidth of a signal & how it relates to data transfer speed • Identify signal strength and attenuation, and how they are related • Outline the basic characteristics of transmitting analog data with analog signals, digital data with digital signals, digital data with analog signals and analog data with digital signals • List and draw diagrams of the basic digital encoding techniques, and explain the advantages and disadvantages of each • Identify the different shift keying (modulation) techniques and describe their advantages, disadvantages, and uses • Identify the two most common digitization techniques and describe their advantages and disadvantages • Discuss the characteristics and importance of spread spectrum encoding techniques • Identify the different data codes and how they are used in communication systems
Analog Signals Frequency Amplitude Spectrum? Bandwidth? Effective bandwidth? 8
Analog Signals B Y X A Spectrum Human Voice Spectrum: 300Hz – 3400Hz Bandwidth: 3100Hz Bandwidth = Y – X Effective Bandwidth = B - A 9
Attenuation / Amplification dB = 10log10(P2 / P1) P1 – power level at transmitter P2 – power level at receiver A loss of 50% power is -3dB. Whether the loss is from 1000W to 500W or from 10W to 5W. 11
Digital Encoding Schemes NRZ-L (Non-Return to Zero Level) Binary 0 – represented by presence of voltage Binary 1 – represented by absence (or low) voltage 14
Digital Encoding Schemes NRZ-I (Non-Return to Zero Inverted) Binary 0 – represented by no voltage change at the time mark Binary 1 – represented by a change in voltage at the time mark What happens to NRZ-I and NRZ-L encoding when transmitting a long series of binary zeros? 15
Digital Encoding Schemes Manchester Binary 0 – represented by change from high to low in the middle of the time mark Binary 1 – represented by a change from low to high in the middle of the time mark 16
Digital Encoding Schemes Differential Manchester Binary 0 – represented by change at the beginning of the time mark Binary 1 – represented by no change at the beginning of the time mark What happens to Manchester and Differential Manchester encoding when transmitting a long series of binary zeros? Self-clocking 17
Bipolar-AMI • Bipolar-AMI Digital Encoding • 3 voltage levels: • binary 0 = zero voltage • binary 1 = positive or negative voltage sent depending on last binary 1 sent (negative voltage last sent -> positive voltage sent this time) 18
Pulse Code Modulation • Twice the sample rate 28
EBCDIC 32
ASCII 33
Review NRZ-L NRZ-I Manchester DiffManchester Bipolar-AMI 4B/5B Encoding 0V 0V 0V 0V 0V 34 0V