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The MultipleInput Translinear Element: A Versatile Circuit Element
 PROCEEDINGS OF THE 1998 IEEE ISCAS
, 1998
"... We define the multipleinput translinear element (MITE), a versatile circuit primitive from which we can construct lowvoltage translinear circuits and logdomain filters. A Kinput MITE produces an output current that is exponential in a weighted sum of its K input voltages. We briefly discuss s ..."
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Cited by 15 (5 self)
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We define the multipleinput translinear element (MITE), a versatile circuit primitive from which we can construct lowvoltage translinear circuits and logdomain filters. A Kinput MITE produces an output current that is exponential in a weighted sum of its K input voltages. We briefly discuss six MITE implementations and show experimental data from two of these six that we have fabricated in a 2µm doublepoly CMOS process available through MOSIS.
A FloatingGate Technology for Digital CMOS Processes
 in Proc. IEEE Intl. Symp. Circuits and Systems
, 1999
"... We discuss the possibility of developing highquality floatinggate memories and circuits in digital CMOS technologies that have only one layer of polysilicon. Here, the primary concern is whether or not we can get adequate controlgate linearity from MOS capacitors. We employ two experimental proce ..."
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Cited by 7 (1 self)
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We discuss the possibility of developing highquality floatinggate memories and circuits in digital CMOS technologies that have only one layer of polysilicon. Here, the primary concern is whether or not we can get adequate controlgate linearity from MOS capacitors. We employ two experimental proceedures to address this issue and find acceptable floatinggate circuit behavior with MOS capacitors. First, we simultaniously characterize a MOS capacitor and a linear capacitor; the experimental data show that MOS capacitors behave similarly to linear capacitors over a finite, but usable range. Second, we characterize two typical floatinggate MOS circuit primatives, a floatinggate amplifier and a multipleinput translinear element, two basic circuits that rely heavily on the linearity of the capacitors that couple into the floating gates. Our measurements show that floatinggate circuits with MOScapacitor control gates behave like their counterparts built with linear capacitors over specif...
FloatingGate Devices: They Are Not Just for Digital Memories Anymore
 Proceedings of the IEEE International Symposium on Circuits and Systems
, 1999
"... Since the first reported floatinggate structure in 1967, floatinggate transistors have been used widely to store digital information for long periods in structures such as EPROMs and EEPROMs. Recently, floatinggate devices have found applications as analog memories, analog and digital circuit elem ..."
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Cited by 7 (1 self)
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Since the first reported floatinggate structure in 1967, floatinggate transistors have been used widely to store digital information for long periods in structures such as EPROMs and EEPROMs. Recently, floatinggate devices have found applications as analog memories, analog and digital circuit elements, and adaptive processing elements. Floatinggate devices have found commerical applications, e.g. ISD, for longterm nonvolatile information storage devices for analog applications. The focus of floatinggate devices has been towards fabrication in standard CMOS processes, as opposed to the specialized processes for fabricating digital nonvolatile memories. Floatinggate circuits can be designed at any or all of three levels: analog memory elements, capacitivebased circuit elements, and adaptive circuit elements. In 1967, Kahng and Sze reported the first floatinggate structure as a mechanism for nonvolatile information storage [1]. Since then, floatinggate transistors have been use...
Adaptive quantization and density estimation in silicon,” 2002
 In submission
"... We present the bump mixture model, a statistical model for analog data where the probabilistic semantics, inference, and learning rules derive from lowlevel transistor behavior. The bump mixture model relies on translinear circuits to perform probabilistic inference, and floatinggate devices to pe ..."
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Cited by 3 (1 self)
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We present the bump mixture model, a statistical model for analog data where the probabilistic semantics, inference, and learning rules derive from lowlevel transistor behavior. The bump mixture model relies on translinear circuits to perform probabilistic inference, and floatinggate devices to perform adaptation. This system is low power, asynchronous, and fully parallel, and supports various onchip learning algorithms. In addition, the mixture model can perform several tasks such as probability estimation, vector quantization, classification, and clustering. We tested a fabricated system on clustering, quantization, and classification of handwritten digits and show performance comparable to the EM algorithm on mixtures of Gaussians. 1
Floating Gate Current Mirror For Gain Correction In Cmos Translinear Circuits
 in Proc. IEEE Int. Symp. Circuits Syst
, 1999
"... The exponential behavior of MOSFETs in subthreshold operation has recently been exploited to build CMOS translinear circuits such as multipliers and logdomain filters. A major obstacle in developing a practical CMOS implementation is the variation in threshold voltage between devices. In translinea ..."
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Cited by 3 (0 self)
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The exponential behavior of MOSFETs in subthreshold operation has recently been exploited to build CMOS translinear circuits such as multipliers and logdomain filters. A major obstacle in developing a practical CMOS implementation is the variation in threshold voltage between devices. In translinear circuits, these voltage offsets manifest themselves as gain errors in the currentmode outputs. We have designed a floatinggate CMOS current mirror that can adapt its gain to compensate for these errors. The adaptation process uses only hotelectron injection, so the high voltages typically associated with tunneling are not needed. A small array of these circuits were fabricated in a standard 1.2 ¯m doublepoly CMOS process. We demonstrate gain adaptation and discuss the nonlinearity introduced by the adaptive mirror. 1. INTRODUCTION Translinear circuits use devices whose transconductance is linear with current (i.e., the current through the device is an exponential function of the input...
Synthesis of MultipleInput Translinear Element Networks
"... We describe two systematic procedures for synthesizing mutlipleinput translinear element (MITE) networks that produce an output current that is equal to product of a number of input currents, each of which is raised to an arbitrary rational power. By using the first procedure, we obtain a MITE netwo ..."
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Cited by 3 (2 self)
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We describe two systematic procedures for synthesizing mutlipleinput translinear element (MITE) networks that produce an output current that is equal to product of a number of input currents, each of which is raised to an arbitrary rational power. By using the first procedure, we obtain a MITE network, called a twolayer network, that is relatively insensitive to mismatch in the MITE weight values. By using the second procedure, we arrive at a MITE network, called a cascade network, that reduces the fanin required of each MITE. We illustrate each of these procedures with an example. 1. MITE NETWORKS: THE SYNTHESIS PROBLEM We recently introduced a class of translinear circuits, called multiple input translinear element (MITE) networks, that accurately embody productofpowerlaw relationships in the current signal domain [13]. The MITE is a circuit primitive that produces an output current that is exponential in a weighted sum of the MITE's input voltages [2, 4]. For a given produ...
An analog VLSI implementation of the meddis inner hair cell model
 EURASIP J. Appl. Signal Process
, 2003
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ACKNOWLEDGEMENTS
, 2007
"... I was able to pursue this research work because of the guidance, help, support, and friendship of many people at different stages. I thank Prof. McClellan for having advised and guided me in pursuing this research. By asking the right questions at the right time he helped me to stay focused on my re ..."
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I was able to pursue this research work because of the guidance, help, support, and friendship of many people at different stages. I thank Prof. McClellan for having advised and guided me in pursuing this research. By asking the right questions at the right time he helped me to stay focused on my research. I would also like to thank him for having given me the opportunity to come to Georgia Tech. I have learnt a lot about research and teaching from Prof. McClellan. I thank Prof. Anderson and Prof. Lanterman for their suggestions and feedback at different points in my research. I thank Prof. Davis and Prof. Vidakovic for being on my PhD committee and the useful discussions I had with them. Two of my friends, Volkan Cevher and Shyam Subramanian, at Georgia Tech played an important part in my research. Volkan helped me by providing the motivation and avenues to get started on my research. I thank him for introducing me to particle filters and target tracking, and for the discussions I had with him and his feedback. Shyam helped me in filling some of the missing pieces in my research and introduced me to MITEs. I thank him for his patient explanations and the useful discussions we had. I thank Prof. Pragasen Pillay at Clarkson University and Pradhyumnan Ramkumar for having introduced me to digital signal processing.