Abstract: A fast Fourier transformation is performed on a first vector of signals, and as a result a second vector of signals is provided. A feed forward equalization is performed by multiplying each of the components of said second vector with equalization parameters, and as a result a third vector of signals is provided. An inverse fast Fourier transformation is performed on said third vector, and as a result a fourth vector of signals is provided. An output signal of said first section is provided on the basis of said fourth vector of signals. In a second section a signal derived from an output signal of said second section is is filtered via linear feedback filtering and the filtered signal is added to said first section output signal, and an added signal is provided, and said second section output signal is generated by extracting samples from said added signal.

Abstract: A method for minimizing processing and transmission power in a flexible and bidirectional OFDM wireless communication system including a MAC layer and a PHY layer, said PHY layer including a supervisor unit controlling in real time the performance of the PHY layer is disclosed. The method comprises feeding a first set of input data as to the QoS requirements at the PHY layer from the MAC layer to the supervisor unit comprising a Target Rate (required information rate), a Target BER (required Bit Error Rate) and a Max Delay (max tolerable delay); feeding a second set of input data including channel power transfer functions H=(|Hi|2(: (index i refers to the ith sub-carrier) from PHY layer to the supervisor unit; processing the first and second set of input data for minimizing processing and transmission power in a wireless communication network system; and outputting N, modulation and coding parameters and transmission power parameters to the PHY layer.

Abstract: A method for minimizing processing and transmission power in a flexible and bidirectional OFDM wireless communication system including a MAC layer and a PHY layer, said PRY layer including a supervisor unit controlling in real time the performance of the PHY layer is disclosed. The method comprises feeding a first set of input data as to the QoS requirements at the PHY layer from the MAC layer to the supervisor unit comprising a Target Rate (required information rate), a Target BER (required Bit Error Rate) and a Max Delay (max tolerable delay); feeding a second set of input data including channel power transfer functions H=(|Hi|2(: (index i refers to the ith sub-carrier) from PHY layer to the supervisor unit; processing the first and second set of input data for minimizing processing and transmission power in a wireless communication network system; and outputting N, modulation and coding parameters and transmission power parameters to the PHY layer.

Abstract: Disclosed is a frequency-domain decision feedback equalizing method and device for single carrier modulation, preferably for use in a broadband communication system, wherein in a first section a fast Fourier transformation is performed on a first vector of signals inputted, and as a result a second vector of signals is provided, a feed forward equalization is performed by multiplying each of the components of said second vector of signals with equalization parameters, and as a result a third vector of signals is provided, an inverse fast Fourier transformation is performed on said third vector of signals, and as a result a fourth vector of signals is provided, and an output signal of said first section is provided on the basis of said fourth vector of signals; and in a second section a linear feedback filtering of a signal derived from an output signal of said second section is performed, and a filtered signal is provided, said filtered signal is added to said output signal of said first section, and an added

Abstract: Maximum Likelihood Sequence Estimation (MLSE) is performed on a received signal that is affected by non-linear distortion. In particular, a cleaned signal is produced by removing non-linear inter-symbol-interference (ISI) through a Volterra canceller which is a simplified structure with respect to a Volterra Equalizer. The latter only processes the non-linear distortion. Finally, a Viterbi Detector is used to process the cleaned signal in the manner of a linear signal, and to estimate appropriate metrics accordingly.

Abstract: The processor (106) of an image processing unit (100) searches a received image for the presence of an original object of a predetermined appearance. If such an object is found, the processor (106) replaces the original object by a substitute object of a desired appearance. Subsequently, the image processing unit (100) outputs the modified image.