Source Coding and Compression (COMM 901)
Offered By:
Information Engineering and Technology Faculty
Description
- Characteristics of Sources Discrete and waveform sources; voice, audio and video sources Multidimensional signal representation, Fourier transform
- Sampling and Quantization Time and space sampling, interlaced and non-interlaced scanning, quantization
- Information Theory Entropy and redundancy, entropy coding, mutual information Channel capacity, rate distortion theory
- Predictive Coding Linear prediction, adaptive prediction
- Differential Coding Delta modulation, DPCM
- Block Coding Vector quantization
- Transform Coding DFT, DCT, wavelet, Hadamard transforms Quantization for transform coding, subband coding
- Source Coding for Digital Data Huffman and run-length codes
- Voice Coding Linear and non-linear quantization, quantization noise
- Video Transform Coding with Motion Compensation MPEG, JPEG, H.26x encoding
- Audio and Image Compression Techniques