A fully programmable nano-watt analogue CMOS circuit for Gaussian functions

Moshfe, Sajjad; Khoei, Abdollah; Hadidi, Khayrollah; Mashoufi, Behbood

doi:10.1109/icedsa.2010.5503099

Cited by 18 publications

(6 citation statements)

References 21 publications

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“…The design flow (Figure 5) involves three basic building blocks, an absoluter (for example Figures 6 and 7), a squarer (for example Figures 8 and 9) and an exponentiator (for example Figure 10) [25,[37][38][39]. Some of the implementations combine the absoluter with the squarer or use a squarer directly [3,4,[40][41][42][43][44]. The exponentiator can be excluded for the generation of the Gaussian function's logarithm [45].…”

Section: Architectures Based On the Translinear Principlementioning

confidence: 99%

“…Some implementations use additional components to improve the accuracy of the Gaussian function. Specifically, an I-V converter (Figure 11) [4,[40][41][42] or a transimpedance amplifier [37] are used between the squarer and the exponentiator. Such components are used because typical translinear squarers have a current output while typical exponentiators have a voltage input.…”

Section: Architectures Based On the Translinear Principlementioning

confidence: 99%

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Analog Gaussian Function Circuit: Architectures, Operating Principles and Applications

et al. 2021

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This review paper explores existing architectures, operating principles, performance metrics and applications of analog Gaussian function circuits. Architectures based on the translinear principle, the bulk-controlled approach, the floating gate approach, the use of multiple differential pairs, compositions of different fundamental blocks and others are considered. Applications involving analog implementations of Machine Learning algorithms, neuromorphic circuits, smart sensor systems and fuzzy/neuro-fuzzy systems are discussed, focusing on the role of the Gaussian function circuit. Finally, a general discussion and concluding remarks are provided.

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Section: Architectures Based On the Translinear Principlementioning

confidence: 99%

Section: Architectures Based On the Translinear Principlementioning

confidence: 99%

Analog Gaussian Function Circuit: Architectures, Operating Principles and Applications

et al. 2021

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“…They can be designed to generate trapezoidal, triangular, z-shape and sshape waveform, as well as GF [6]. From the designing point of view, the triangular (and also trapezoidal, s-shaped, and zshaped) membership functions are preferred to Gaussian functions, since they can be implemented easier, with less hardware usage, higher accuracy and lower power consumption.…”

Section: Introductionmentioning

confidence: 99%

A highly accurate fully programmable fuzzifier in current mode approach

Moshfe

Khoei

Hadidi

2011

2011 18th IEEE International Conference on Electronics, Circuits, and Systems

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This paper presents a fully programmable compact analog CMOS realization of triangular/trapezoidal/z-shaped/sshaped membership functions generator circuit in current mode approach. Analog realization of the programming units distinct the circuit from the previous works in power consumption, accuracy, speed, and continually parameters changing. Designed circuit was simulated by HSPICE simulator with level 49 parameters (BSIM3v3) and the simulation results verified the performance of the proposed fuzzifier. Finally, the presented layout of the fuzzifier shows it occupies less than 0.01mm 2 .

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“…Few methods are proposed in [7] and [8] to generate single type of membership function. Whereas generation of multiple membership function provides a powerful toolbox for users to solve the problems in more effective ways [9].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Sunspots using Fuzzy Logic: A Triangular Membership Function-based Fuzzy C-Means Approach

Azam¹,

Hasan²,

Kadir³

et al. 2021

IJACSA

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Fuzzy logic is an algorithm that works on "degree of truth", instead of the conventional crisp logic where the possible answer can be 1 or 0. Fuzzy logic resembles human thinking as it considers all the possible outcomes between 1 and 0 and it tries to reflect reality. Generation of membership functions is the key factor of fuzzy logic. An approach for generating fuzzy gaussian and triangular membership function using fuzzy cmeans is considered in this research. The problem related to sunspot prediction is considered and its accuracy is calculated. It is evident from the results that the proposed technique of generating membership functions using fuzzy c-means can be adopted for predicting sunspots.

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A fully programmable nano-watt analogue CMOS circuit for Gaussian functions

Cited by 18 publications

References 21 publications

Analog Gaussian Function Circuit: Architectures, Operating Principles and Applications

Analog Gaussian Function Circuit: Architectures, Operating Principles and Applications

A highly accurate fully programmable fuzzifier in current mode approach

Prediction of Sunspots using Fuzzy Logic: A Triangular Membership Function-based Fuzzy C-Means Approach

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