This workshop will explore the application of sampling theory to mixed-signal sampling and processing architectures in both electrical and optical domains. This holistic view will highlight recent advances in sampling theory and signal decomposition amenable to sampling, such as mixed-signal hardware architectures and error analysis, parallel analog-to- digital conversion, hyperspectral image processing, and the interaction with parallel DSP. A symbiotic view of analog and digital is needed to compose system-on-chip architectures for applications such as cognitive radio, incorporating wideband sensing, signal representation and analysis, and demodulation. Mixing continuous-time and discrete-time processing complicates overall system performance modeling and error analysis, and different metrics for optimal design tradeoffs are possible, such as system power consumption, information preservation, dynamic range allowing signal separation, complexity, and adaptability.