• Compression
• Signal Processing
• Image Analysis
• Data Analysis

Efficient algorithms for science and industry

In science and industry it often happens that large amounts of sensor data have to be processed at high speed. The highly optimized algorithms developed by 256.systems can help to:

• save disk space and increase the I/O speed
• quickly filter signals and suppress noise
• pre-process images and extract features from them
• visualize and classify complex, high-dimensional data.

The programs and libraries are written in C and usually have no dependencies to other software. Only a Linux environment is required.

Update: AFLP analysis: peak finder, similarity map generator, automatic clustering with Self-Organizing Maps
Update: Data acquisition with an infrared camera