One of the basic problem in the low level signal processing is noise. The noise effect in the electronic filters is described. It is shown that the noise level will be determined by the active element and used the second order section, in the higher order filters also with the structure. The noise is determined by the noise voltage spectral density from which are calculated the rms noise voltage and dynamic range. Calculation is done by the mathematics programming tool MATLAB and the obtained characteristics are confirmed by the electric circuits simulation programming tool PSPICE. In the second chapter the noise as physical phenomenon is described through the noise types, sources and parameters which characterizes noise. The third and the fourth chapter deal with low-pass (LP) and band-pass (BP) second order filter sections. The four different designs using transconductance amplifier and one using operational amplifier are presented. The expressions for calculation and the plotted characteristics of the noise voltage spectral density and the corresponding calculated rms noise voltage are given for five different pole Q-factors. The dynamic range analysis is done. In the end the valorization of the obtained results is done. Following this the best result gives the general section with transconductance amplifiers and this section is taken for designing the eight order filter structures. The fifth and the sixth chapter give noise analysis in the eight order filters. The cascade structure and the biquart cascade structure of the low-pass filters and two more structures, Follow the Leader Feedback and Leap Frog, of the band-pass filters are analyzed. The noise contributions on the end of structure of every noise source generated inside are derived and the noise parameters are calculated. The structure dynamic range optimization is done. In the end comparison of described structures is done where follows the lowest noise in the Leap Frog structure designed using the general 2nd order section with the transconductance amplifiers. The researching done in this work takes out the best 2nd order section and the best structure with the transconductance amplifiers. The directions for designing the higher-order filters using the 2nd order sections as building block are given. The main contribution of this researching is precisely determinate dynamic range and limitations using filters with the transconductance amplifiers. Possible applications of the described filters are in speech and music processing, control systems, instrumentations, small signal spectral analysis, nonlinear network synthesis and anywhere where the controlled filter is needed.