Once you have acquired the data, you can use analysis and visualization tools in MATLAB and related data analysis products. Acquiring and analyzing the data in the same environment lets you quickly extract the information you need from your data. Using interactive tools and command-line functions, you can perform tasks such as signal and image processing, statistical analysis, digital filtering, curve fitting, and nonlinear optimization. In addition, you can build graphical interfaces for data acquisition and live analysis of your test data.
When working with acquired data, you can use digital filtering routines to focus on the signal or feature of interest and easily view time-domain data in the frequency domain. When working with image data, you can restore noisy or degraded images and analyze shapes and textures. For projects that involve acquiring data repeatedly, you can investigate the statistics of a phenomenon over time.