Optimization based sizing methods allow automating the synthesis of analog circuits. Automated analog circuit synthesis techniques depend on fast and reliable estimation of circuit performance. This paper presents a highly accurate method of estimating performances by constructing models of the circuit matrix instead of the traditionally used performance models. Device matching in analog circui...

Along with the miniaturization of CMOS-LSIs, control methods for LSIs have been extensively developed. The most predominant method is to digitize observed values as early as possible and to use digital control. Thus, many types of analog-to-digital converters (ADCs) have been developed such as temperature, time, delay, and frequency converters. ADCs are the easiest circuits into which digital c...

The mixed-signal circuits with both analog and digital blocks on a single chip have wide applications in communication and RF circuits. Integrating these two blocks can cause serious problems especially in applications requiring fast digital circuits and high performance analog blocks. Fast switching in digital blocks generates a noise which can be introduced to analog circuits by the common su...

Neuromorphic Sensory Processing Using Analog Very Large-Scale Integration Circuits Neuromorphic circuits are analog circuits that implement models of biological systems for sensory processing. Because the neuromorphic circuits share the same physical constraints as their biological counterparts, they have similar organizational structures and use similar strategies for optimizing robustness to ...

This paper discusses the importance and difficulties associated with testing analog circuits in general and those residing within mixed-signal circuits in particular. It proposes a tested method that is not specification oriented. The method is based on the excitation of the circuit-under-test with a pseudo random binary sequence and the subsequent analysis of the captured response. The fault d...

This paper demonstrates the ability of genetic programming to evolve analog circuits that perform digital functions and mixed analog-digital circuits. The evolved circuits include two purely digital circuits (a 100 nano-second NAND circuit and a two-instruction arithmetic logic unit circuit) and one mixed-signal circuit, namely a three-input digital-to-analog converter.

Nowadays, communication system has become a very important part of modern live. In order to dramatically reduce the cost and design time of a radio system, a unified design environment that can be used efficiently by system designers for modelling and simulation is very desirable. However, one of the main problems is that the simulation of a radio system is very time consuming or even impossibl...

Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir Computing (RC) systems are commonly used in two flavors: with analog or binary (spiking) neurons in the recurrent circuits. Previous work showed a fundamental difference between these two incarnations of the RC idea. T...

A floating gate charge-sharing circuit that can be electrically programmed for precise positive and negative voltage changes, and can be implemented in a standard CMOS VLSI process is presented. With the advantage of its longterm charge-retention, the floating gate charge-sharing circuit is suitable for providing a compact, non-volatile and high-precision analog trimming method to trim the offs...

Critical to the success of analog synthesis in VASE is the accuracy of analog performance estimation at various levels of abstraction. The analog performance estimator (APE) in VASE is used during mixed signal partitioning, analog behavior synthesis as well as analog circuit synthesis. APE is capable of accepting the design parameters (bias current) of an analog component as input and determine...