IE201602 Multimedia digital signal processing

Course Code
IE201602

Course Name
Multimedia digital signal processing

Credits
15.00

Target Audience
Second year students Telematics engineering

Prerequisites xmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' ><paragraph></paragraph></sxmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' > Objectives xmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' ><paragraph>Today we use DSP (or Digital signal processing) in a large number of multimedia devices such as speech maschines, equalizer, compact disk (CD), music synthesis, modems, MPEG, sound and video, mobile phones, noise canceling, speech recognition and so on.</line>This course is intended to give the students the necessary background to understand modern DSP systems. The course is founded on exstensive use of Matlab DSP toolbox and DSP Blockset for the simulation of DSP systems.</paragraph></sxmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' >

Today we use DSP (or Digital signal processing) in a large number of multimedia devices such as speech maschines, equalizer, compact disk (CD), music synthesis, modems, MPEG, sound and video, mobile phones, noise canceling, speech recognition and so on.
This course is intended to give the students the necessary background to understand modern DSP systems. The course is founded on exstensive use of Matlab DSP toolbox and DSP Blockset for the simulation of DSP systems.

Topics xmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' ><paragraph>1. Introduction:</line>DSP development, applictions</line>2. Digitalization:</line>Sampling, oversampling</line>2. System theory:</line>Difference equations, folding, digital filters etc, transfer functions, Z-transformation, stability.</line>3. Filter design:</line>FIR; different technices. IIR; bilinear transformation, the structure of filtering.</line>4. Multirate systems:</line>Disimation, interpolation</line>5. Frequency analyses:</line>DFT, FFT, DCT, specter.</line>6. Noise signal:</line>Autocorrelation, crosscorrelation, white noise.</line>7. Adaptive filters:</line>Linear predictiv coding (LPC).</line>8. Speech coding:</line>DM, ADPCM, LPC-10, RELP, CELP.</line>9. Picture manipulation:</line>Histogram manipulation, mask processing.</line></paragraph></sxmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' >

1. Introduction:
DSP development, applictions
2. Digitalization:
Sampling, oversampling
2. System theory:
Difference equations, folding, digital filters etc, transfer functions, Z-transformation, stability.
3. Filter design:
FIR; different technices. IIR; bilinear transformation, the structure of filtering.
4. Multirate systems:
Disimation, interpolation
5. Frequency analyses:
DFT, FFT, DCT, specter.
6. Noise signal:
Autocorrelation, crosscorrelation, white noise.
7. Adaptive filters:
Linear predictiv coding (LPC).
8. Speech coding:
DM, ADPCM, LPC-10, RELP, CELP.
9. Picture manipulation:
Histogram manipulation, mask processing.

Instruction xmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' ><paragraph>Lectures, data exercises and project.</line>Project and data exercises uses Matlab</paragraph></sxmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' >

Lectures, data exercises and project.
Project and data exercises uses Matlab

Mandatory Assignments xmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' ><paragraph>80% of data exercises approved, and approved project.</paragraph></sxmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' >

80% of data exercises approved, and approved project.

Evaluation xmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' ><paragraph>40% project and 60% oral examination</paragraph></sxmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' >

40% project and 60% oral examination

Grades
ABCDEF

Revised date
2004.03.03