Course digital tv technologies
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COURSE DIGITAL TV TECHNOLOGIES PowerPoint PPT Presentation


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COURSE DIGITAL TV TECHNOLOGIES. Vytautas Deksnys, Algimantas Čitavičius Kaunas University of Technology Dept. of Electronics Engineering. COURSE LECTURES CONTENT. HUMAN HEARING AND PERCEPTION Human ear structure Limits of hearing Masking Time Masking Frequency Masking

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COURSE DIGITAL TV TECHNOLOGIES

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Course digital tv technologies

COURSEDIGITAL TV TECHNOLOGIES

Vytautas Deksnys, Algimantas Čitavičius

Kaunas University of Technology

Dept. of Electronics Engineering


Course digital tv technologies

COURSE LECTURES CONTENT

HUMAN HEARING AND PERCEPTION

Human ear structure

Limits of hearing

Masking

Time Masking

Frequency Masking

The ear as spectrum analyzer


Course digital tv technologies

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


Course digital tv technologies

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


Course digital tv technologies

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


Course digital tv technologies

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


Course digital tv technologies

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


Course digital tv technologies

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


Decoding the basic idea behind decoding sequential decoding maximum likelihood and viterbi decoding

COURSE LECTURES CONTENT

Decoding

The basic idea behind decoding

Sequential decoding

Maximum Likelihood and Viterbi decoding


Laboratory stand structure for dvb training course

Laboratory stand structure for DVB training course

Kaunas UniversityofTechnology

Prof. Vytautas Deksnys

URL:http://www.msl.ktu.lt

E-mail: [email protected]

Phone: +370698 48828


What can be done with the presented structure

  • 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:


Course digital tv technologies

- 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.).


Simulation of digital tv system using mathlab simulink

  • 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


Thank you for your attention

Thank you for your attention!


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