GOPALAN COLLEGE OF ENGINEERING AND MANAGEMENT Electronics and communication Department
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1 Appendix - F GOPALAN COLLEGE OF ENGINEERING AND MANAGEMENT Electronics and Department Academic Year: Semester: EVEN 6. COURSE PLAN Semester: VI Subject Code: 10EC61 Name of Subject: Digital Communication Teacher: Soumya MJ Name of Subject Expert (Reviewer): Kavitha M V For the Period: From: to Details of Book to be referred: Text Books T1: Digital s, Simon Haykin, John Wiley India Pvt. Ltd, Reference Books R1: Digital and Analog systems, Simon Haykin, John Wildy India Lts, 2008 R2: An introduction to Analog and Digital Communication, K. Sam Shanmugam, John Wiley India Pvt. Ltd, R3: Digital s- Bernard Sklar: Pearson education 2007 Lecture NO Topic Planned Practical Applications & Brief objectives Book referred with Pg No. Planned Date Executed Date Deviation Reasons thereof How Made Good / Reciprocate arrangement Remarks by HOD 1. Introduction to the subject Unit.1 Basic signal processing operations in digital General schematic T1:
2 8. Flat top Sampling Understand the basic concepts T1: Practical aspects of of information theory & 9. sampling digital transmission. T1: signal recovery from Sampled output, Sample and hold Circuit Application: Digital Data transmission from one device to another via some form of transmission medium T1: Numericals UNIT-2 Pulse Amplitude Modulation PAM, TDM, Waveform coding techniques like PCM T1: Time Division 13. T1: Multiplexing 14. Class test The principle of PCM, Waveform Coding Techniques description on a digital 3. system Basic signal processing classification of signals operations in digital and sampling theory Sampling Theorem Outcomes: The student will T1: be able to : Sampling Theorem: Time Understand classification of Domain signals. Quadrature sampling of T1:142, Band pass signal Understand the importance of 8 7. Natural Sampling sampling theory. T1: T1:
3 16. Waveform Coding Techniques 17. Quantization process Quantization noise & Signal to Noise Ratio Quantization noise & Signal to Noise Ratio Calculation of quantization error Robust quantization. Application: Digital telephony, digital audio applications T1: T1: Robust quantization T1: Robust quantization T1: UNIT-3: WAVE FORM CODING TECHNIQUES Differential pulse code modulation Principle of DPCM, delta modulation, adaptive delta modulation and power spectra of discrete pam signals T1: Delta modulation T1: Adaptive Delta modulation Adaptive Delta modulation T1: Applications of modulation Applications of modulation receiver techniques techniques DPCM-transmitter Delta modulation and T1:218 T1: Base-Band Shaping for Quantization error 28. Data Transmission : T1:234 Discrete PAM signals Power spectra of discrete Application: transmission of PAM signals voice information, digital multiplexer. T1: Class Test UNIT 5. DIGITAL MODULATION TECHNIQUES Coherent binary T1:
4 Introduction Non coherent binary 32. Digital Modulation formats T1: Coherent binary 33. Coherent Binary FSK, PSK, QPSK, MSK T1:275 Cont Coherent binary 34. Non coherent modulation techniques like non coherent Coherent quadrature 35. FSK, DPSK T1:283 Cont Coherent quadrature 36. Application: mobile s(gsm) Non-coherent binary 37. T1: Cont Non-coherent 38. binary modulation T1: techniques 39. numericals UNIT 8: SPREAD SPECTRUM MODULATION Pseudo noise sequences Spread spectrum PN sequences T1: Notion of spread spectrum DS-SS BPSK T1: Direct sequence spread Frequency hopping 42. spread spectrum Coherent binary PSK T1:452 Direct sequence spread 43. Coherent binary PSK Spread spectrum Frequency hop spread 44. T1: spectrum Properties of PN Frequency hop spread 45. sequences spectrum Applications of SS 46. Applications spread T1:
5 spectrum, numericals Applications spread spectrum, numericals Class test Application: CDMA, secure systems UNIT-6. DETECTION 49. AND ESTIMATION Detection and estimation Gram-Schmidt T1:57 Model of Digital 50. Orthogonalization procedure system Gram-Schmidt 51. Orthogonalization procedure Detection theory Estimation theory T1:60 Gram-Schmidt 52. Orthogonalization Model of digital procedure system Geometric interpretation of Response of bank of signals, Response of bank correlators in a system with of correlators to noisy noisy input input, Allocation of disk 53. space Application: bit sequence T1:66, decoding, radar-based object detection, face/object/activity classification/recognition, change detection in sequences UNIT 7. Detection of known signals Matched filters, correlation 54. T1: in noise filters 55. Correlation receiver Detection of signals present in T1: Matched filter receiver AWGN noise, matched filters, 56. optimum receivers T1:
6 Matched filter receiver Application: Radar, RFID transponder etc. Detection of signals with unknown phase in noise. T1:92 T1: UNIT-4. BASEBAND SHAPING FOR DATA ISI TRANSMISSION: Inter Baseband transmission T1:243, Symbol interference, Correlative coding Nyquist s criterion for Eye pattern distortion less base-band Adaptive equalization binary transmission correlative coding T1:252 ISI, Baseband binary data Eye pattern transmission, Correlative coding, Eye pattern, Adaptive T1: Base-band M-ary PAM equalization systems T1: Application: pulse shaping Adaptive equalization for data transmission T1: Adaptive equalization for data transmission T1:
7 Prepared By: Soumya M J Reviewed by: Approved by: Approved by: (Faculty) (Sub. expert) (HOD) (Principal/ Acad. Co) Date & Sign Date & Sign Date & Sign Date & Sign
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