From 0df869bb0a69e16f1faf71cabdb8a7dcb15d0857 Mon Sep 17 00:00:00 2001 From: titzer Date: Thu, 11 Feb 2016 15:51:50 +0100 Subject: Update compression --- BinaryEncoding.md | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) (limited to 'BinaryEncoding.md') diff --git a/BinaryEncoding.md b/BinaryEncoding.md index 940c962..bfdbe30 100644 --- a/BinaryEncoding.md +++ b/BinaryEncoding.md @@ -16,12 +16,7 @@ The encoding is split into three layers: The structural compression introduces more efficient encoding of values, rearranges values within the module, and prunes structurally identical tree nodes. -* **Layer 2** applies generic compression techniques, already available - in browsers and other tooling. Algorithms as simple as gzip can deliver - good results, but more sophisticated algorithms like - [LZHAM](https://github.com/richgel999/lzham_codec) and - [Brotli](https://datatracker.ietf.org/doc/draft-alakuijala-brotli/) are able - to deliver dramatically smaller files. +* **Layer 2** Layer 2 applies generic compression algorithms, like [gzip](http://www.gzip.org/) and [Brotli](https://datatracker.ietf.org/doc/draft-alakuijala-brotli/), that are already available in browsers and other tooling. Most importantly, the layering approach allows development and standardization to occur incrementally. For example, Layer 1 and Layer 2 encoding techniques can be -- cgit v1.2.3