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| Topic | Details |
|---|---|
| Discrete Fourier transform (DFT) | Understanding DFT concepts and applications, implementing DFT algorithms, analyzing frequency domains. |
| Fast Fourier transform (FFT) | Explaining the principles of FFT, implementing FFT algorithms efficiently, interpreting frequency spectra. |
| Quantization | Understanding quantization techniques, applying quantization to signals, analyzing quantization errors. |
| Huffman coding | Explaining Huffman coding principles, constructing Huffman codes, performing compression and decompression using Huffman coding. |
| Run-length encoding | Understanding run-length encoding techniques, applying run-length encoding to signal data, analyzing compression efficiency. |
| Transform-based signal compression | Exploring transform-based compression techniques (e.g., Discrete Cosine Transform), implementing compression algorithms, evaluating compression ratios and quality. |
| Wavelet-based signal compression | Understanding wavelet-based compression principles, implementing wavelet transforms, analyzing compression performance and artifacts. |
| Lossless signal compression | Exploring lossless compression algorithms (e.g., LZW, Arithmetic Coding), implementing compression and decompression, evaluating compression ratios. |
| Error-correcting codes | Understanding error-correcting codes (e.g., Reed-Solomon, Hamming codes), encoding and decoding signals, analyzing error correction capabilities. |
| Lossy compression techniques | Exploring lossy compression techniques (e.g., JPEG, MPEG), understanding trade-offs between compression ratio and signal quality, evaluating compression artifacts. |
