This course aims to provide you with a good understanding of digital communication theory and digital transmission techniques required in the rapidly expanding field of digital signal transmission and modulation in communication systems. Information theory related to entropy and channel capacity is introduced to appreciate Shannon's information theory. Both linear block codes and convolutional codes are studied for error-correcting coding. Contents: Digital Communication Principles - Sampling Theorem, Line coding, Intersymbol Interference. Information Theory - Entropy, Source Encoding, Channel Capacity. Optimum Signal Detection - Matched Filter, Signal Space, Optimum Receiver and Error Probability. Error-Correcting Codes - Linear Block Codes and Convolutional Codes.
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | EE3012 |
| Not Available To Programme | |
| Not Available To All Programme With | |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | CZ1120, IM4152 |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
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