[go: up one dir, main page]

Maleki et al., 2018 - Google Patents

Design and Simulation of an Infinite Impulse Response Filter with Memristor

Maleki et al., 2018

View PDF
Document ID
1545491643034061787
Author
Maleki A
Rashtchi V
Mazloum J
Publication year
Publication venue
Majlesi Journal of Electrical Engineering

External Links

Snippet

In this paper, a novel circuit for memristor based Infinite Impulse Response Filter (IIR) filter implementation is presented. In this research for increasing the input voltage range in sampling the analog signal, complementary switches were used instead of single-transistor …
Continue reading at mjee.isfahan.iau.ir (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G06F17/5036—Computer-aided design using simulation for analog modelling, e.g. for circuits, spice programme, direct methods, relaxation methods
    • H—ELECTRICITY
    • H03—BASIC ELECTRONIC CIRCUITRY
    • H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
    • H03H11/00—Networks using active elements
    • H03H11/02—Multiple-port networks
    • H03H11/04—Frequency selective two-port networks
    • H03H11/12—Frequency selective two-port networks using amplifiers with feedback
    • H—ELECTRICITY
    • H03—BASIC ELECTRONIC CIRCUITRY
    • H03K—PULSE TECHNIQUE
    • H03K19/00—Logic circuits, i.e. having at least two inputs acting on one output; Inverting circuits
    • H03K19/02—Logic circuits, i.e. having at least two inputs acting on one output; Inverting circuits using specified components
    • H—ELECTRICITY
    • H03—BASIC ELECTRONIC CIRCUITRY
    • H03K—PULSE TECHNIQUE
    • H03K3/00—Circuits for generating electric pulses; Monostable, bistable or multistable circuits
    • H03K3/02—Generators characterised by the type of circuit or by the means used for producing pulses
    • H—ELECTRICITY
    • H03—BASIC ELECTRONIC CIRCUITRY
    • H03K—PULSE TECHNIQUE
    • H03K17/00—Electronic switching or gating, i.e. not by contact-making or -braking
    • H—ELECTRICITY
    • H03—BASIC ELECTRONIC CIRCUITRY
    • H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
    • H03H15/00—Transversal filters

Similar Documents

Publication Publication Date Title
Kim et al. Memristor bridge synapses
Ascoli et al. Memristor-based filtering applications
Merrikh-Bayat et al. Memristor-based circuits for performing basic arithmetic operations
Yener et al. Fully CMOS memristor based chaotic circuit
Papandroulidakis et al. Practical implementation of memristor-based threshold logic gates
Ramakrishnan et al. Vector-matrix multiply and winner-take-all as an analog classifier
Adam et al. Memristive LSTM network hardware architecture for time-series predictive modeling problems
CN104573238A (en) Circuit design method for memory resisting cell neural network
Wang et al. Low-variance memristor-based multi-level ternary combinational logic
CN109359400B (en) Digital circuit design method of heterogeneous double-magnetic control memristor model based on DSP Builder
Li et al. Synaptic memcapacitor bridge synapses
Shamsi et al. Hyperbolic tangent passive resistive-type neuron
Ganguly et al. Analog signal processing using stochastic magnets
Prokopenko et al. The element base of the multivalued threshold logic for the automation and control digital devices
Maleki et al. Design and Simulation of an Infinite Impulse Response Filter with Memristor
Faraji et al. Deep independent recurrent neural network technique for modeling transient behavior of nonlinear circuits
Szczęsny High speed and low sensitive current-mode CMOS perceptron
Faraji et al. A hybrid approach based on recurrent neural network for macromodeling of nonlinear electronic circuits
Minayi et al. Realization of a 4-port generalized mutator and its application to memstor 1 simulations
Ghaderi et al. Nonlinear cognitive signal processing in ultralow-power programmable analog hardware
Camps et al. Emulating memristors in a digital environment using stochastic logic
Stoica Evolvable hardware: from on-chip circuit synthesis to evolvable space systems
Hemmati et al. A configurable memristor-based finite impulse response filter
Chen Modeling of electrical circuit with recurrent neural networks
Felderhoff A new wave description for nonlinear elements