MOS-only design automation and a simple agile MOS-only BP/LP filter design
In this work, a systematic of the automation in the result of the re-obtained small signal parameters based on SPICE is presented for MOS-Only circuits. Accuracy of the re-obtained parameters was improved by re-formulating in the basis of SPICE and CADENCE-SPECTRE. Moreover, piece-wise polynomial regressive models are presented for gds, gm and Ids-Also, performance of the models are compared with conventional expressions. Success of the given MOS-Only design automation based on re-obtained small signal parameters is verified with an examplary new agile filter.
A Fast Equation Free Iterative Approach to Analog Circuit Sizing
A fast equation free iterative approach for sizing of analog circuit is proposed. Equation based sizing approach has been popular as it removes time consuming simulation effort. If equations are cast in posynomial inequality format, a special optimization technique called geometric programming(GP) can be deployed. The advantage of formulating the problem in GP form is that, it ensures global optimality and can return the final design point instantly even in the presence of hundreds of equation and thousands of variable. But main limitation comes in deriving performance equations in posynomial inequality format. In this context, we develop one novel methodology for fast sizing of analog circuit. This method does not require any such performance expressions. It is based on the meaningful presentation of only device constraints. Infeasibility is handled iteratively making suitable changes on those constraints. Due to the simplicity of formulation, fully automated flow is achieved.
Rapid Spatially Coupled AVO Inversion
The Bayesian methodology yields a natural framework for many geophysical inverse problem, see e.g. (Tarantola and Valette, 1982; Tarantola, 1987; Duijndam, 1988a; Duijndam, 1988b). The solution of a Bayesian inverse problem is represented by the posterior distribution. From the posterior distribution the best estimate and the corresponding uncertainty can be extracted and a set of plausible solutions can be drawn.