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Design, Analysis and Simulation of memristor Emulator based Anti-aliasing filter for Biomedical Applications
2016
Indian Journal of Science and Technology
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The proposed timing storage circuit stores and reproduces timing information in analog manner without performing quantization. ...
Application/Improvements: It extends its benefits of storing and reproducing the CT digital signals, wide range of memristance, and anti aliasing processing. ...
The design considerations for Continuous Time-Digital Signal processing system, CT-FIR filter and memristor emulator are described. ...
doi:10.17485/ijst/2016/v9i5/87152
fatcat:xw2xisxtinf3bnrc7vpenn2thq
Real-time Analog Pixel-to-pixel Dynamic Frame Differencing with Memristive Sensing Circuits
[article]
2018
arXiv
pre-print
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In this paper, we propose an analog pixel differencing circuit for differentiating pixels between frames directly from CMOS pixels. ...
The analog information processing at sensor is a topic of growing appeal to develop edge AI devices. The proposed circuit is integrated into a pixel-parallel and pixel-column architectures. ...
CONCLUSION In this paper, we proposed a near pixel analog signal processing circuit for high speed object detection task in realtime settings. ...
arXiv:1808.06780v1
fatcat:uxjdjrbtzrddvcttud3athguai
Multichannel parallel processing of neural signals in memristor arrays
2020
Science Advances
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In this work, we propose a previously unexplored approach for parallel processing of multichannel neural signals in memristor arrays, taking advantage of their rich dynamic characteristics. ...
This work suggests that memristor arrays could be a promising multichannel signal processing module for future implantable neural interfaces. ...
(B) The proposed memristor-based system, which uses a memristor array for parallel processing of multichannel neural signals where the biomarker extraction is achieved by memristor conductance modulations ...
doi:10.1126/sciadv.abc4797
pmid:33036975
pmcid:PMC7546699
fatcat:qn3scf6ecrctxnliyns2dt5rsa
Analog memristive memory with applications in audio signal processing
2013
Science China Information Sciences
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A series of computer simulations and analyses verify the effectiveness of the proposed scheme. [5-9], artificial neural networks [10], chaotic circuits [11] , and signal processing and pattern recognition ...
In this paper, we present an implementation scheme for analog memristive memory and an application thereof in a record/play system. The memristor model and analog memory capability are demonstrated. ...
Conclusions and discussions An implementation scheme for analog memristive memory was proposed in this paper. The analog memory capacity of the memristor was demonstrated. ...
doi:10.1007/s11432-013-4864-z
fatcat:mftoqx7zindefiqmp42t6whegy
Characterizing a standard cell library for large scale design of memristive based signal processing
2021
IET Circuits, Devices & Systems
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Nevertheless, it is perfectly suitable for signal processing applications that require MATLAB functions to produce text files with hex values in order to overcome the limitations of the simulation environment ...
In particular, it is a proposal for a characterization methodology of memristor-based logic cells to generate a standard cell library file for large-scale simulation. ...
In the proposed framework, the signal processing applications require a MATLAB encoder and decoder. ...
doi:10.1049/cds2.12076
fatcat:dx3yv4licvhgtmxveqpahwedhm
On Learning With Nonlinear Memristor-Based Neural Network and Its Replication
2019
IEEE Transactions on Circuits and Systems Part 1: Regular Papers
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To demonstrate the effectiveness of the proposed method, multilayer neural network along with the end-to-end learning architecture is designed in circuit with nonlinear memristors and tested for several ...
In this study, a novel architecture of a modified memristor bridge synapse is proposed that avoids the boundary effect issue by shifting the programming origin to the middle of the linear region. ...
Fig. 5(b). 3) Signal Processing Mode: Signal processing is conducted at switch states SW P = o f f , SW I N = on, SW I N I T = o f f , and SW G = on as shown in
Fig. 6 . 6 A memristor-bridge synapse ...
doi:10.1109/tcsi.2019.2914125
fatcat:olwaxddkebampnnhq27myf6xse
Programming of memristor crossbars by using genetic algorithm
2011
Procedia Computer Science
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It has been demonstrated that this structure can offer the potential of creating configurable electronic devices which can have applications in signal processing and artificial intelligence. ...
Without loss of generality, crossbar-based arbitrary waveform generating circuit proposed by Mouttet is considered for demonstrating the capabilities of GA. ...
For yet another application, Mouttet has proposed several programmable crossbar-based innovative circuits [8, 9, 10] overall emphasizing the rule of memristor crossbars in signal processing such as image ...
doi:10.1016/j.procs.2010.12.039
fatcat:cmw3uc3rhfd4fbepxjdhwbxere
Neuromorphic crossbar circuit with nanoscale filamentary-switching binary memristors for speech recognition
2014
Nanoscale Research Letters
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In this paper, a neuromorphic crossbar circuit with binary memristors is proposed for speech recognition. ...
In contrast, the analog memristor crossbar loses its recognition rate significantly from 96% to 9% for the same percentage variation in memristance. ...
In this paper, we propose a binary memristor crossbar circuit for recognizing five different vowels. ...
doi:10.1186/1556-276x-9-629
pmid:25489283
pmcid:PMC4256962
fatcat:xdyboq2gdbdt5opj34pe3rzepa
A Configurable Memristor-based Finite Impulse Response Filter
[article]
2019
arXiv
pre-print
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In this work, considering the advantages of software and hardware approaches, a method to implement direct form FIR filters using analog components and memristors is proposed. ...
Proper operation and usefulness of the proposed structures are all validated via simulation in Cadence. ...
they are widely used in signal processing applications. ...
arXiv:1904.05279v1
fatcat:7ptiib6xzrclxchl2nosqwf6pi
Area-efficient memristor spiking neural networks and supervised learning method
2019
Science China Information Sciences
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Detailed simulation results are described in Appendix C. Conclusion. We propose an area-efficient memristor SNN for hardware implementation, the spikes of which are simplified as step signals. ...
We then derive the gradient descent for the proposed memristor SNNs to implement training. ...
doi:10.1007/s11432-018-9607-8
fatcat:7p3cqthqt5gijkzj5mu6z7ofte
Fast IDS Computing System Method and its Memristor Crossbar-based Hardware Implementation
[article]
2016
arXiv
pre-print
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Our proposed algorithm is fully compatible with memristor-crossbar implementation that leads to a significant decrease in the number of required memristors (from O(n^2) to O(3n)). ...
Simpler algorithm and higher speed make our algorithm suitable for applications where real-time process, low-cost and small implementation are paramount. ...
ACKNOWLEDGMENT All the experiments and ideas of this research work have been developed in Artificial Creatures Lab, belonging to the Electrical Engineering Department, Sharif University of Technology, ...
arXiv:1602.06787v1
fatcat:azwypeeufvgivjpu5l6shp6x6a
Programmable Memristive Threshold Logic Gate Array
[article]
2018
arXiv
pre-print
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This paper proposes the implementation of programmable threshold logic gate (TLG) crossbar array based on modified TLG cells for high speed processing and computation. ...
The proposed TLG array operation does not depend on input signal and time pulses, comparing to the existing architectures. The circuit is implemented using TSMC 180nm CMOS technology. ...
In previously proposed TLG cell, the memristor R c2 and control signal V c is updated during the cell processing and change according to the input signal, which limits the processing speed, especially ...
arXiv:1809.00419v1
fatcat:4vkjemxzofhkthqcfgbsf3dopa
A Multilayer Neural Network Merging Image Preprocessing and Pattern Recognition by Integrating Diffusion and Drift Memristors
[article]
2020
arXiv
pre-print
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In this paper, a novel kind of multilayer neural network is proposed, in which diffusion and drift memristor models are applied to construct a system merging image preprocessing and pattern recognition ...
Moreover, owing to high-efficiency in-memory computing and brief spiking encoding methods, high processing speed, high throughput, and few hardware resources of the entire network are achieved. ...
FPGA is controlled by clock signals so that it is very suitable to process spiking signals in many applications [34] [35] [36] [37] . ...
arXiv:1904.12292v4
fatcat:isoouv4uwvfxvntlxdrvqr4yii
The Implementation of Logic Gates Using Only Memristor Based Neuristor
2021
Informacije midem
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We simulated the proposed gates with SPICE using TSMC 0.18 μm CMOS process models. ...
One can learn about memristor-based neuron circuits in literature if one wishes to implement more effective circuits, as they are linear, have a high density, and consume little energy. ...
The authors declare that there is no conflict of interest for this paper. Also, there are no funding supports for this manuscript. ...
doi:10.33180/infmidem2021.203
fatcat:yej4bvlzr5bkhjvyji55z2lek4
Training itself: Mixed-signal training acceleration for memristor-based neural network
2014
2014 19th Asia and South Pacific Design Automation Conference (ASP-DAC)
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trained for efficient data processing! ...
to specific states
Data
Processing
Digital Training
Analog Processing
Realize the self-training of memristor-based neural network
through mixed-signal system
Analog unit:
work out ...
doi:10.1109/aspdac.2014.6742916
dblp:conf/aspdac/LiWWCY14
fatcat:3cmcryyg6rfnlf7kgpqknppkua
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