File compression algorithms
Data compression is the process of encoding, restructuring or otherwise modifying data in order to reduce its size.
Fundamentally, it involves re-encoding information using fewer bits than the original representation..
What are the three types of data compression?
Lossless data compression algorithms are Run Length Encoding, Huffman encoding, Shannon fano encoding, Arithmetic encoding, Lempel Ziv Welch encoding, etc.
Lossy data compression algorithms are: Transform coding, Discrete Cosine Transform, Discrete Wavelet Transform, fractal compression, etc. 4..
What is bit compression?
In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation.
Any particular compression is either lossy or lossless.
Lossless compression reduces bits by identifying and eliminating statistical redundancy..
- When you use COMPRESS=BINARY, patterns of multiple characters across the entire observation are compressed.
Binary compression uses two techniques at the same time.
This option searches for the following: Repeating byte sequences (for example, 10 blank spaces or 10 zero bytes in a row)
