Here you can download the free lecture Notes of Data Communication Pdf Notes – DC Notes Pdf materials with multiple file links to download. The Data Communication Notes pdf (data communication lecture notes) book starts with the topics covering Model of Digital Communication Systems, PCM Generation and Reconstruction, Introduction, ASK,ASK Modulator, Pulse shaping for optimum transmissions, Information and entropy, conditional entropy and redundancy, Matrix description of Linear Block Codes, Decoding using State, Etc.
Data Communication Pdf Notes – DC notes pdf file
Note :- These notes are according to the R09 Syllabus book of JNTU.In R13 and R15,8-units of R09 syllabus are combined into 5-units in R13 and R15 syllabus. If you have any doubts please refer to the JNTU Syllabus Book.
Topics covered in data communication lecture notes
Elements of Digital Communication Systems: Model of Digital Communication Systems. Digital Representation of Analog Signal, Certain issues in Digital Transmission. Advantages of Digital Communication Systems, Bandwidth-SIN tradeoff. Hartley Shanon Law, Sampling Theorem
Pulse Code Modulation: PCM Generation and Reconstruction, Quantization noise, Non uniform Quantization and Companding, DPCM, Adaptive DPCM. DM and Adaptive DM, Noise in PCM and DM.
Digital Modulation Techniques: Introduction, ASK,ASK Modulator. Coherent ASK Detector, No n-Coherent ASK Detector, PSK, Bandwidth and Frequency Spectrum of FSK. Non coherent FSK Detector, Coherent FSK Detector, PSK Detection Using PLL, BPSK, Coherent PSK Detection. QPSK, Differential PSK.
Baseband transmission and Optimal Reception of Digital Signal: Pulse shaping for optimum transmissions, ABaseband Signal Receiver, Probability of Error, Optimum Receiver, optimal of Coherent Reception, Signal Space Representation and Probability of Error, eye diagrams, Cross talk.
Data Communication Notes pdf – DC Notes Pdf
Information Theory: Information and entropy, conditional entropy and redundancy, Shannon Fano coding, Mutual Information, information loss due to noise, source codings – Huffman Code, variable length coding, Source coding to Increase average lnfomtation per bit, Lossy source coding.
Linear Block Codes: Matrix description of Linear Block Codes. Error detection and error Correction capabilities of linear block codes. CyDecoding.
Convolution Codes: Encoding. Decoding using State, tree and trellis diagrams, Decoding using Viterbi algorithm, Comparison of Error Rates in Coded and Uncoded Transmission.
Spread Spectrum Modulation: Use of Spread Spectrum, Direct Sequence Spread Spectrurn(DSSS), Code Division Multiple Access, Ranging using DSSS. Frequency Hopping Spread Spectrum, PN – sequences: Generation . and Characteristics. Synchronization in Spread Spectrum Systems and for more please download the above PDF file.
1. Introduction to Data Communications and Networking, Wayne Tomasi, Pearson Education.
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