Presentation Transcript

1. COURSEDIGITAL TV TECHNOLOGIES

   Vytautas Deksnys, Algimantas Čitavičius Kaunas University of Technology Dept. of Electronics Engineering
2. COURSE LECTURES CONTENT HUMAN HEARING AND PERCEPTION Human ear structure Limits of hearing Masking Time Masking Frequency Masking The ear as spectrum analyzer
3. COURSE LECTURES CONTENT SPEECH PRODUCTION SYSTEM The Human Voice Vowels and Consonants The Engineering Model LINEAR PREDICTIVE ANALYSIS Basic principles of linear predictive analysis Optimal prediction coefficients The autocorrelation method The Durbin‘s recursive procedure The minimal prediction error and effectiveness of prediction The covariance method The choice of parameters for linear predictive analysis
4. COURSE LECTURES CONTENT PULSE CODE MODULATION Sampling: Nyquist- Shennonsampling theorem Ideal sampling Aliasing and anti-aliasing Flat-top sampling Quantizing; Uniform quantizing Encoding Bandwidth of PCM signals Linear PCM advantages and disadvantages
5. COURSE LECTURES CONTENT SPEECH COMPRESSION Necessity and possibility of compression Nonuniform quantizing: µ-law and A-law companding Adaptive quantization Maximum SNR coding Adaptation principle Types of adaptation Feed-forward adaptation Feed-backwardadaptation Differential quantization
6. COURSE LECTURES CONTENT SUB-BAND CODING PRINCIPLE MPEG AUDIO LAYERS Audio Layer 1 Audio Layer 2 Audio Layer 3 MPEG-2 Audio Advanced Audio Coding VECTOR QUANTIZATION
7. COURSE LECTURES CONTENT SCRAMBLING Scramblers and PN sequence generators Frame synchronization PHASORS, MODULATIONS, CONSTELATIONS The phasor representation of a signal Geometric Interpretation Modulation Multilevel modulation and constellation diagrams
8. COURSE LECTURES CONTENT CONVOLUTIONAL CODES Code parameters and the structure of the convolutional encoder Encoder states Punctured codes Coding of an incoming sequence The encoder design State Diagram Tree Diagram Trellis Diagram
9. COURSE LECTURES CONTENT Decoding The basic idea behind decoding Sequential decoding Maximum Likelihood and Viterbi decoding

10. Laboratory stand structure for DVB training course

    Kaunas UniversityofTechnology Prof. Vytautas Deksnys URL:http://www.msl.ktu.lt E-mail: Vytautas.Deksnys@ktu.lt Phone: +370698 48828
11. Analyzeallpartsof DVB-ASI (MPEG2 TS) stream contents; InvestigateTS modulation according to the ETS 300 429 (QAM - Quadrature amplitude modulation) and ETS 300 744 (COFDM - Coded Orthogonal Frequency Division Multiplexing); InvestigateTS partsprocessing possibilities: - PID(Packet Identifierremapping); - EPG multiplexing; - PCR(Program Clock Reference)restamping; - service filtering; What can be done with the presented structure:
12. - NIT (networkinformationtable) generation; - PMT (programmaptable) monitoring; - PAT (Program Association Table) analysis; Incommingtransport stream bit rate measurement; Analyze DVB-T/C set-top-box schematic (on STMicroelectronics SoC ST7105 basis) and FW architecture; Analysis of HDMI interface(standard, signals, transferrates, etc.).
13. Investigation of phase noise influence on BER; Investigation of channel noise and pulse disturbances influence on BER . Simulation of digital TV system using MathLab/Simulink

14. Thank you for your attention!