# Signal Processing Index

## Some Ideas

- Error Correction Codes
- Sampling + Quantization
- Compression Algorithms
- Frequency Domain Technologies

## Two Main Goals

**Unit 1**: Efficient Representation of Signal (i.e. compression)—we ideally want the smallest sequence of bits to encode the raw signal**Unit 2**: Preserving Information of Signal (i.e. communication)—we ideally want to communicate our bits while not sacrificing information despite all communication channels being noisy

## Unit 1 outline

- compress the same exactly information into less space (lossless compression)
- what is information (
*probability and entropy*) - compression and limits of compression (Huffman Coding)

- removing irrelevant/uninteresting information (lossy compression)
- key idea: “frequency domain can be aggressively compressed”
- signals, frequency representation, bandwidth (
*discrete cosine transform*) - quantization, sampling, reconstruction (
*encoding analog signal into digital signal*)

## Unit 2 outline

## Lectures

### Unit 1

SU-ENGR76 Unit 1 Index