Power efficiency is an important issue in mobile communication systems. Especially for mobile user equipments, the energy budget, limited by a battery, has to be treated carefully. Despite this fact, quite an amount of energy is wasted in todays user equipments, as analog and digital frontend in communication systems are engineered for extracting the wanted signal from a spectral environment defined in the corresponding communication standards with their extremely tough requirements. In a real receiving process those requirements can typically be considered as dramatically less critical. Capturing the environmental transmission conditions and adapting the receiver architecture to the actual needs allows to save energy during the receiving process. An efficient architecture being able to fulfill this task for a typical Long Term Evolution scenario is desired and introduced in this paper. The development of a suitable filterchain is described and a complexity comparison to Fast Fourier Transformation based methods is given.