(This paper is under review by IEEE Transactions on Wireless Communications.) To reduce the cost of radio equipment hardware and the power consumption of circuits, wireless communication systems with low-resolution analog-to-digital converters (ADCs) have been studied. Extreme examples include radios with one-bit ADCs, where a phenomenon referred to as stochastic resonance, which can suppress quantization errors by adding noise to the input signal, has been reported. Regarding this phenomenon, theoretical and experimental studies have been reported for single-carrier signals. In this paper, we extend the study target to general Wiener-Hammerstein systems and complex Gaussian signaling using a new theoretical framework, i.e., the "twodimensional Fourier-Laguerre theory." We demonstrate that any nonlinear distortions higher than the first order can be relaxed by adding wide-band Gaussian noise to the input signal. In addition, taking an orthogonal frequency division multiplexing receiver using one-bit quantizers as a practical example, we compare the theoretical analysis with simulation results in terms of power spectral density and bit error rate, and we demonstrate that the derived theoretical analysis results are valid.