Alp, Y. K.Gök, GökhanKorucu, A. B.2018-04-122018-04-122017http://hdl.handle.net/11693/37532Date of Conference: 28 August-2 September 2017Conference Name: 25th European Signal Processing Conference, EUSIPCO 2017In this work, we propose an iterative method to improve the dynamic range performance of the Modulated Wideband Converter (MWC), which is multi-channel sampling system for digitizing wideband sparse signals below the Nyquist limit without loss of information by using compressive sensing techniques. Our method jointly designs FIR filters for each subband to equalize the frequency response characteristics of the all sub-bands of the MWC. Obtained results from the extensive computer simulations of the MWC system show that the proposed method improves the dynamic range performance of the MWC system significantly.EnglishBandpass filtersEqualizersFIR filtersFrequency responseIterative methodsCompressive sensingEqualization filtersFrequency response characteristicImproving dynamicsModulated wideband converters (MWC)Multi-channel samplingsNyquist limitsSignal processingConference Paper10.23919/EUSIPCO.2017.80813412076-1465