1. ECE 4371, Fall, 2014 Introduction to Telecommunication Engineering/Telecommunication Laboratory Zhu Han Department of Electrical and Computer Engineering Class 11 Oct. 1 st, 2014

2. Outline Gray Code Line Coding Spectrum Scrambler Multimedia Transmission

3. Gray Code The reflected binary code, also known as Gray code, Two successive values differ in only one digit. http://en.wikipedia.org/wiki/Gray_code If you check the chip, they have the bus number ordered in Gray code.

4. Basic steps for spectrum analysis Figure –Basic pulse function and its spectrum P(w) u For example, rect. Function (in time) is sinc function (in freq.) –Input x is the pulse function with different amplitude u Carry different information with sign and amplitude u Auto correlation is the spectrum of Sx(w) –Overall spectrum x

5. Digital Communication System Spectrum of line coding: –Basic pulse function and its spectrum P(w) u For example, rect. function is sinc –Input x is the pulse function with different amplitude u Carry different information with sign and amplitude u Auto correlation is the spectrum of Sx(w) –Overall spectrum

6. NRZ R0=1, Rn=0, n>0 Pulse width Tb/2 P(w)=Tb sinc(wTb/2) Bandwidth Rb for pulse width Tb

7. RZ scheme DC Nulling Split phase

8. Polar biphase: Manchester and differential Manchester schemes In Manchester and differential Manchester encoding, the transition at the middle of the bit is used for synchronization. The minimum bandwidth of Manchester and differential Manchester is 2 times that of NRZ. 802.3 token bus and 802.4 Ethernet

9. Bipolar schemes: AMI and pseudoternary R0=1/2, R1=-1/4, Rn=0,n>1, Reason: the phase changes slower

10. EE 541/451 Fall 2006 Multilevel: 2B1Q scheme NRZ with amplitude representing more bits

11. Pulse Shaping Sy(w)=|P(w)|^2Sx(w) –Sx(w) is improved by the different line codes. –p(t) is assumed to be square How about improving p(t) and P(w) –Reduce the bandwidth –Reduce interferences to other bands –Remove Inter-symbol-interference (ISI) –In wireless communication, pulse shaping to further save BW –Talk about the pulse shaping later

12. Small questions in exam 2 Draw the spectrums of three different line codes and describe why the spectrums have such shapes.

13. Scrambling Make the data more random by removing long strings of 1’s or 0’s. Improve timing The simplest form of scrambling is to add a long pseudo-noise (PN) sequence to the data sequence and subtract it at the receiver (via modulo 2 addition); a PN sequence is produced by a Linear Shift Feedback Register (LSFR). In receiver, descrambling using the same PN. Secure: what is the PN and what is the initial   data scrambled data PN sequence length 2 m – 1 = 2 6 – 1 = 63

14. Scrambling Exercise: 100000000000

15. Scrambling Example Scrambler Descrambler

16. Video Standard Two camps –H261, H263, H264; –MPEG1 (VCD), MPEG2 (DVD), MPEG4 Spacial Redundancy: JPEG –Intraframe compression –DCT compression + Huffman coding Temporal Redundancy –Interframe compression –Motion estimation

17. Discrete Cosine Transform (DCT) 120108907569738289 127115978175798895 13412210589838796103 13712510792869099106 13111910186808393100 117105877265697885 10088705549536269 8977594438425158 0 – black 255 – white

18. DCT and Huffman Coding 0 – black 255 – white 7009010000000 900000000 -890000000 00000000 00000000 00000000 00000000 00000000

19. Basis vectors

20. Using DCT in JPEG  DCT on 8x8 blocks

21. Comparison of DF and DCT

22. Quantization and Coding Zonal Coding: Coefficients outside the zone mask are zeroed. The coefficients outside the zone may contain significant energy Local variations are not reconstructed properly

23. 30:1 compression and 12:1 Compression

24. Motion Compensation I-Frame –Independently reconstructed P-Frame –Forward predicted from the last I-Frame or P-Frame B-Frame –forward predicted and backward predicted from the last/next I-frame or P- frame Transmitted as - I P B B B P B B B

25. Motion Prediction

26. Motion Compensation Approach(cont.) Motion Vectors –static background is a very special case, we should consider the displacement of the block. –Motion vector is used to inform decoder exactly where in the previous image to get the data. –Motion vector would be zero for a static background.

27. Motion estimation for different frames XZ Y Available from earlier frame (X) Available from later frame (Z)

28. A typical group of pictures in display order A typical group of pictures in coding order 1 5 2 3 4 9 6 7 8 13 10 11 12 I P B B B P B B B P B B B I B B B P B B B P B B B P

29. Coding of Macroblock Y CBCB CRCR    Spatial sampling relationship for MPEG-1  -- Luminance sample  -- Color difference sample 01 23 45

30. A Simplified MPEG encoder Frame recorder DCT Quantize Variable- length coder Transmit buffer Prediction encoder De- quantize Inverse DCT Motion predictor Reference frame Rate controller IN OUT Scale factor Buffer fullness Prediction Motion vectors DC

31. MPEG Standards MPEG stands for the Moving Picture Experts Group. MPEG is an ISO/IEC working group, established in 1988 to develop standards for digital audio and video formats. There are five MPEG standards being used or in development. Each compression standard was designed with a specific application and bit rate in mind, although MPEG compression scales well with increased bit rates. They include:Moving Picture Experts Group –MPEG1 –MPEG2 –MPEG4 –MPEG7 –MPEG21 –MP3

32. MPEG Standards MPEG-1 Designed for up to 1.5 Mbit/sec Standard for the compression of moving pictures and audio. This was based on CD-ROM video applications, and is a popular standard for video on the Internet, transmitted as.mpg files. In addition, level 3 of MPEG-1 is the most popular standard for digital compression of audio--known as MP3. MPEG-1 is the standard of compression for VideoCD, the most popular video distribution format thoughout much of Asia. MPEG-2 Designed for between 1.5 and 15 Mbit/sec Standard on which Digital Television set top boxes and DVD compression is based. It is based on MPEG-1, but designed for the compression and transmission of digital broadcast television. The most significant enhancement from MPEG-1 is its ability to efficiently compress interlaced video. MPEG-2 scales well to HDTV resolution and bit rates, obviating the need for an MPEG-3. MPEG-4 Standard for multimedia and Web compression. MPEG-4 is based on object-based compression, similar in nature to the Virtual Reality Modeling Language. Individual objects within a scene are tracked separately and compressed together to create an MPEG4 file. This results in very efficient compression that is very scalable, from low bit rates to very high. It also allows developers to control objects independently in a scene, and therefore introduce interactivity. MPEG-7 - this standard, currently under development, is also called the Multimedia Content Description Interface. When released, the group hopes the standard will provide a framework for multimedia content that will include information on content manipulation, filtering and personalization, as well as the integrity and security of the content. Contrary to the previous MPEG standards, which described actual content, MPEG-7 will represent information about the content. MPEG-7 MPEG-21 - work on this standard, also called the Multimedia Framework, has just begun. MPEG-21 will attempt to describe the elements needed to build an infrastructure for the delivery and consumption of multimedia content, and how they will relate to each other. MPEG-21

33. JPEG JPEG stands for Joint Photographic Experts Group. It is also an ISO/IEC working group, but works to build standards for continuous tone image coding. JPEG is a lossy compression technique used for full-color or gray-scale images, by exploiting the fact that the human eye will not notice small color changes.Joint Photographic Experts Group JPEG 2000 is an initiative that will provide an image coding system using compression techniques based on the use of wavelet technology.

34. DV DV is a high-resolution digital video format used with video cameras and camcorders. The standard uses DCT to compress the pixel data and is a form of lossy compression. The resulting video stream is transferred from the recording device via FireWire (IEEE 1394), a high-speed serial bus capable of transferring data up to 50 MB/sec. –H.261 is an ITU standard designed for two-way communication over ISDN lines (video conferencing) and supports data rates which are multiples of 64Kbit/s. The algorithm is based on DCT and can be implemented in hardware or software and uses intraframe and interframe compression. H.261 supports CIF and QCIF resolutions. –H.263 is based on H.261 with enhancements that improve video quality over modems. It supports CIF, QCIF, SQCIF, 4CIF and 16CIF resolutions. –H.264

35. HDTV 4KTV 4-7 Mbps 25 - 27 Mbps