Compression with Loss: Data and Signals

This lecture covers the concept of compression with loss, where data is compressed by sacrificing some information. It explains the limitations of lossless compression and the need for lossy compression in scenarios like representing real numbers with a fixed number of bits or downloading high-resolution images. The lecture also delves into image and sound compression techniques, such as averaging colors in images to filter high spatial frequencies and using the MP3 format to significantly reduce the size of sound files while maintaining quality.