Description
With the technological progress, devices, such as mobile phones, tablet computers or hearing aids, can be used in a large variety of every-day situations for mobile communication. Acoustic background noise signals, which are picked up with the desired speech signal, can impair the signal quality and the intelligibility of a conversation. A special noise type is generated outdoors, if the microphone is exposed to a wind stream resulting in strong-rumbling noise, which is highly non-stationary. As a result, conventional approaches for noise reduction fail in the case of noise induced by wind turbulences.
This thesis is focused on the development of signal processing concepts, which reduce the undesired effects of wind noise. The key contributions are:
Signal analysis of wind noise
Digital signal model for wind noise generation
Signal processing algorithms for detection and reduction of wind noise signals.
All these topics are considered with the focus
