Areas Markus Steilmann is Knowledgeable in:
Machine Learning, Artificial Intelligence, Algorithms
Techniques Markus Steilmann Uses:
-Define the problem. Diagnose the situation so that your focus is on the problem, not just i
ts symptoms.
-Generate alternative solutions. Postpone the selection of one solution until several problem-solving alternatives have been proposed.
-Evaluate and select an alternative. Implement and follow up on the solution.
Markus Steilmann's Problem Solving Skills:
- Analog/Digital Integrated Circuit Design and Testing
- Android Software Development
Markus Steilmann's Problem Solving Experience:
- I desigend a wideband envelop modulator for switching-mode power amplifiers in polar transmitter
- I developed a Enumeration Implementation for Hard Sphere Decoder with reduced Hardware Complexity