David Schwingshackl

Learn More
This paper proposes a polyphase representation for nonlinear filters, especially for Volterra filters. To derive the new realizations the well-known linear polyphase theory is extended to the nonlinear case. Both the upsampling and downsampling cases are considered. As in the linear case (finite-impulse response filters), neither the input signal nor the(More)
This work addresses the problem of approximating the sampled input-output (i/o) behavior of continuous-time nonlinear systems using discrete-time Volterra models. For an exactly band-limited nonlinear system for which a Volterra representation exists, the discrete-time Volterra model exactly corresponds to the sampled continuous-time Volterra kernels.(More)
This paper reviews existing noise models including both background and impulsive noise for the in-home PLC scenario, highlighting similarities and differences. With reference to the impulsive noise, it is shown that a simple model, in the frequency band up to 100 MHz, can be derived by considering the noise generated at the source and taking into account(More)
In this paper low-complexity equivalent realizations for multirate Volterra systems are presented. All analysed filter configurations contain in addition to the nonlinear filter both an upsampler and a downsampler. Using Volterra filters a wide class of nonlinear systems can be approximated with arbitrary precision. Also special cases, like cascades of(More)
In this paper we propose a method for suppressing discrete disturbers in data communication systems where the modulation scheme is implemented using the FFT (Fast Fourier Transform) algorithm. Similar to radio frequency interference (RFI) cancelation in the frequency domain, the compensation is performed after the FFT in the receiver. As opposed to the RFI(More)
  • 1