Programmable and adaptive analog filters using arrays of floating-gate circuits

Kucic, M.; Hasler, P.; Dugger, J.; Anderson, David V.

doi:10.1109/arvlsi.2001.915557

Cited by 45 publications

(31 citation statements)

References 20 publications

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“…Juan et al [15], Stanacevic and Cauwenberghs [16], and Figueroa et al [17] designed analog transversal Finite Impulse Response (FIR) filters that include adaptation of weights. Srinivasan et al [18] and Kucic et al [19] designed adaptive analog synapse filters implementing the LMS learning rule and a weight perturbation algorithm. Xie and Al-Hashimi [20] described an analog adaptive filter based on an LC ladder using a wave synthesis technique.…”

Section: Introductionmentioning

confidence: 99%

Adaptive log domain filters for system identification using floating gate transistors

Zhai

Abshire

2007

Analog Integr Circ Sig Process

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We describe an adaptive log domain filter with integrated learning rules for model reference estimation. The system is a first-order low pass filter implemented using multiple input floating gate transistors operating in subthreshold to realize on-line learning of gain and cut-off frequency. We use adaptive dynamical system theory to derive robust control laws for gain and cut-off frequency adaptation in a system identification task. Simulation results show that convergence is slower using simplified control laws but still occurs within milliseconds. Experimental results confirm that the estimated gain and cut-off frequency track the parameters of the reference filter. The adaptive log domain filter has measured power consumption of 33 lW. During operation, deterministic errors are introduced by mismatch within the analog circuit implementation. An analysis is presented which attributes the errors to current mirror mismatch.

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Section: Introductionmentioning

confidence: 99%

Adaptive log domain filters for system identification using floating gate transistors

Zhai

Abshire

2007

Analog Integr Circ Sig Process

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“…the computation (using a combination of electron tunneling and hot-electron injection), and adapt due to correlations of input signals. These single transistor learning synapses [8], [9], named because of the similarities to connectionist synapses, lead to a technology called analog computing arrays [10]. Using these floating-gate analog arrays, we are able to realize a wide range of programmable and adaptive [11] ASP systems.…”

Section: Programmable Analog Cmos Technologymentioning

confidence: 99%

“…Fast programming is critical to mass production programming of large arrays of floating-gate devices. We have developed a standard method using standardized custom hardware and algorithms that allows for flexibile floating-gate array programming over a wide range of IC processes and allows for nearly transparent operation to the user [12], [10], [13]. Our programming scheme minimizes interaction between floating-gate devices in an array during the programming operation.…”

Section: Programmable Analog Cmos Technologymentioning

confidence: 99%

Analog floating-gate, on-chip auditory sensing system interfaces

et al. 2005

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This paper describes our current efforts toward creating cooperative analog-digital signal-processing systems for auditory sensor and signal-processing applications. We address resolution issues that affect the choice of signal-processing algorithms arriving from an analog sensor. We discuss current analog circuit approaches toward the front-end signal processing by reviewing major programmable analog building blocks and showing how they can be interconnected to create a complete system. We also discuss our current IC approaches using this technology for noise suppression, as well as our current analog signal-processing front-end system for speech recognition. Experimental data is presented from circuits fabricated using a 0.5 m nwell CMOS process available through MOSIS.Index Terms-Analog cepstrum, analog hidden Markov model (HMM), analog signal processing (ASP), analog speech enhancement in noise, analog speech recognition, analog vector quantization (VQ), auditory signal processing, floating-gate circuits. N EW advances in analog very large-scale integration (VLSI) circuits have made it possible to perform operations that more closely reflect those done in digital signal-processing (DSP) applications or that are desired in future DSP applications. With these advances, analog circuits and systems can be programmable, reconfigurable, adaptive, and at a density comparable to digital memories (for example, 100 000+ multipliers on a single chip). Therefore, with both DSP and analog signal-processing (ASP) modalities feasible, more options are now available when designing a signal-processing system.In this paper, we will discuss ASP in the context of several audio-processing systems. The comparable digital algorithms are well understood and, since they are not novel, are not discussed here. The purpose, then, of this paper is to demonstrate the analog options available when deciding where to partition the analog and digital parts of a system. First, we will address resolution issues that affect the choice of signal-processing algorithms arriving from an analog sensor. Second, we will discuss the building blocks of current analog circuit approaches toward front-end signal processing and the relationship to modeling biological cochleas. Third, we will discuss our current IC

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“…They also function as programmable, compact, analog computational elements [3], [5], because they have threshold voltage programmability with nearly infinite resolution as well as long-term charge retention. The current technology for low-power operation trends to scale down device feature sizes and threshold voltages.…”

Section: Introductionmentioning

confidence: 99%

A Computer-Aided Scheme of Threshold Voltage Measurement for Floating-Gate Mos Transistor

Hou

2005

Circuits Syst Signal Process

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In this paper, analog multiplexers, a threshold voltage measurement block, 16-bit analog-to-digital converter, and a computer are employed to achieve a new scheme of threshold voltage measurement for a floating-gate MOS transistor (FGT). Feedback technology is applied so that the threshold voltage can be measured with good accuracy. A threshold voltage measurement with a maximum error equal to 1% can be achieved. The proposed scheme does not require any matched components, and thus it can be applied effectively to threshold voltage measurement for multiple FGTs. The sampling time of the threshold voltage measurement is 3 ms. Dynamic responses and static characteristics are demonstrated with experimental results.

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Programmable and adaptive analog filters using arrays of floating-gate circuits

Cited by 45 publications

References 20 publications

Adaptive log domain filters for system identification using floating gate transistors

Adaptive log domain filters for system identification using floating gate transistors

Analog floating-gate, on-chip auditory sensing system interfaces

A Computer-Aided Scheme of Threshold Voltage Measurement for Floating-Gate Mos Transistor

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