Low-Resolution Signal Processing

Sampling and quantization of signals is a necessary first step in digital signal processing applications. Our aim is to study low-resolution or one-bit sampling techniques with general sampling thresholds, which are affordable, technically feasible, easy to apply, energy-efficient, and consistent with technological trends. The enormous gains in capacity and spectral efficiency, for example, that could be provided by a successful millimeter-wave (mm-wave) massive multiple-input multiple-output implementation could have a revolutionary effect on the performance of wireless systems nearly everywhere we use them: at home, at work, at school, commuting via public transportation or by plane, shopping, at restaurants, recreational venues, sporting events, and so on. Besides consumer applications, there are many military- and security-related scenarios where these systems could be used.