Despite the popularity of digital devices, real world signals are typically represented by analog signals. Digital control systems process real world analog signals by using an analog-to-digital converter (ADC) to convert analog signals to digital. Conversions back to analog signals are accomplished using a digital-toanalog converter (DAC). Maxim offers a complete line of precision DACs from 8 ...

Title of Dissertation: ANALOG SYSTEM-ON-A-CHIP WITH APPLICATION TO BIOSENSORS. Angela M. Hodge, Doctor of Philosophy, 2005 Dissertation Directed By: Professor, Robert W. Newcomb, Electrical Engineering Department This dissertation facilitates the design and fabrication of analog systems-on-achip (SoCs). In this work an analog SoC is developed with application to organic fluid analysis. The devi...

The analog-to-digital converter (ADC) is a key component in analog in-memory computing accelerators, but also bottleneck for the efficiency and accuracy of these systems. While trade-offs between power consumption, latency, area ADC design are well studied, it relatively unknown which implementations optimal algorithmic accuracy, particularly neural network inference. We explore space with focu...

This paper derives the balanced realizations of secondorder analog filters directly from the transfer function. Second-order analog filters are categorized into the following three cases: complex conjugate poles, distinct real poles, and multiple real poles. For each case, simple formulas are derived for the synthesis of the balanced realizations of secondorder analog filters. As a result, we o...

The implementation of OFDM transmitters typically consists of a discrete DFT matrix and a digital-to-analog (DAC) converter. Many existing results on the analysis of OFDM systems, e.g., spectral roll-off, are based on a convenient analog representation. In this paper, we show that the analog representation and the DFT-based OFDM transmitters are equivalent only in special cases. Using the analo...

We introduce a model for analog computation with discrete time in the presence of analog noise that is exible enough to cover the most important concrete cases, such as noisy analog neural nets and networks of spiking neurons. This model subsumes the classical model for digital computation in the presence of noise. We show that the presence of arbitrarily small amounts of analog noise reduces t...

A M Analog redundancy breaks the link between accuracy and speed in analog circuits. This technique has particular relevance IO analog to digital conversion. As feature size and supply voltage shrink, calibration based on redundancy of flash analog-to-digital converlers is becoming attractive. This new scheme allows accuracy to be achieved through the use of redundancy and reassignment, effecti...

Analog computers can be revived as a feasible technology platform for low precision, energy efficient and fast computing. We justify this statement by measuring the performance of modern analog computer comparing it with that traditional digital processors. General statements are made about solution ordinary partial differential equations. Computational fluid dynamics discussed an example large...