Pre- and post-processing

What is meant by Pre- and post-processing?

The term "pre- and post-processing" refers to the preparation and subsequent processing of data in various areas of computer simulation and data analysis. Pre-processing encompasses all steps for preparing and processing data before the actual processing or analysis, while post-processing refers to the subsequent processing and preparation of results after the main processing.

Typical software functions in the area of "pre- and post-processing":

1. Data cleaning: Removal of outliers, treatment of missing values, and correction of data errors.
2. Data transformation: Conversion of data formats, normalization, and scaling of data.
3. Modeling: Creation of 3D models, meshing, and definition of boundary conditions.
4. Visualization: Generation of graphics, diagrams, and 3D representations to illustrate results.
5. Data extraction: Targeted selection and extraction of relevant information from large datasets.
6. Results analysis: Statistical evaluations, trend analyses, and identification of patterns in the result data.

Examples of "pre- and post-processing":

1. CAE simulation: Preparation of CAD models for FEM analyses and subsequent visualization of calculation results.
2. Image processing: Pre-processing of images for noise reduction and subsequent application of filters for contrast enhancement.
3. Data analysis: Cleaning and normalization of raw data before statistical analysis and subsequent creation of reports and visualizations.
4. Acoustic signal processing: Filtering of audio signals before analysis and subsequent spectral analysis of the processed data.
5. Climate simulation: Preparation of weather data for climate models and subsequent visualization of simulation results in the form of weather maps.
6. Genome sequencing: Quality control of DNA sequence data before analysis and subsequent annotation of identified genes.