Digital Signal Processing

Application-specific Algorithms

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.

Cost Efficiency

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.

Quick Start

The variety of digital signal processing tasks and methods is daunting. Nevertheless, we aim to contribute quickly to every project.