Digital Signal Processing
Digital signal processing spans a wide range of applications. We specialize in the design of application-specific algorithms. By applying tools such as Fourier transforms, Kalman filters, or neural networks, we strive to achieve an optimum solution within the constraints on time, cost and complexity.
At the beginning of a signal processing project, the final outcome is often unclear or unknown. To avoid unnecessary costs, we generally propose short work cycles of 1-4 weeks. After every cycle, the results are evaluated to determine whether the project should be continued.
The variety of digital signal processing tasks and methods is daunting. Nevertheless, we aim to contribute quickly to every project.