This dissertation presents a novel verification technique for analog and mixed sig-nal circuits. Analog circuits are widely used in many applications include con-sumer electronics, telecommunications, medical electronics. Furthermore, in deepsub-micron design, physical effects might undermine common digital abstractionsof circuit behavior. Therefore, it is necessary to develop s...

We present a hybrid analog/digital computing circuit to solve selective harmonic minimization problem. The approach leverages favorable attributes of digital and analog controllers yield fast scalable optimization solver. A microcontroller programs the cost function other user-defined inputs Voltages in represent switching angles. In steady state, voltages converge Karush–Kuhn–Tuc...

Optical deep learning (DL) accelerators have attracted significant interests due to their latency and power advantages. In this article, we focus on incoherent optical designs. A challenge is that there no known solution perform single-wavelength accumulation (a key operation required for DL workloads) using signals efficiently. Therefore, devise a hybrid approach, where done in the electrical ...

We develop a method for interpolating scattered data on sphere-like surfaces based on a local triangular patch which is constructed from a blend of certain spherical Bernstein-B ezier polynomials introduced recently by Alfeld, Neamtu & Schumaker 2]. The method produces a C 1 interpolant which matches values and derivatives, and is a natural analog of a planar method of Foley & Opitz 6] and Good...