This paper proposes a mem-computing model of memristive network-based genetic algorithm (MNGA) by building up the relationship between network (MN) and (GA), new edge detection where image pixels are defined as individuals population. First, computing MNGA is designed to perform mem-computing, which brings possibility hardware implementation GA. Secondly, MNGA-based integrating filter GA operator deployed MN proposed. Finally, simulation results demonstrate that figure merit (FoM) our better...

This paper highlights the memristor bridge-based lowpass filter (LPF) and improved image processing algorithms along with a novel adaptive Gaussian for denoising new pyramid scale invariant feature transform (SIFT). First, kind of LPF based on bridge is designed, whose cut-off frequency other traits are demonstrated to change different time memristance. In light changeable parameter LPF, an SIFT algorithm presented. Finally, experiment results show that peak signalto-noise ratio (PSNR) our...

In this paper, a novel application research on memristor is studied, and memristor-based chaotic circuit for text, image encryption decryption presented. light of characteristic, nonlinear cryptography, new cryptosystem model designed. Then, are represented. Simulation results verify the feasibility practicability decryption.

Mobile ground robots require perceiving and understanding their surrounding support surface to move around autonomously safely. The is commonly estimated based on exteroceptive depth measurements, e.g., from LiDARs. However, the measured fails align with true in presence of high grass or other penetrable vegetation. In this work, we present semantic pointcloud filter (SPF), a convolutional neural network (CNN) that learns adjust LiDAR measurements underlying surface. SPF trained...

The paper highlights a way to introduce memristive components into the filter circuit. In light of memristor and memcapacitor, novel low pass circuit (LPF) is presented. First, inspired by typical RC-LPF Memristor-C-LPF, Memristor-Memcapacitor-LPF designed. Then transfer function LPF obtained, amplitude-frequency response, phase-frequency response are Finally, Simulation results demonstrates our analysis, elements can be extended other circuits.

A model to introduce memristive components into the high pass filter (HPF) is highlighted in this paper. Based on Memristor and Memcapacitor, a novel HPF circuit which rarely researched before, provided. In light of first-order RC-HPF Memristor-Capacitor-HPF, new Memristor-Memcapacitor-HPF designed. By studying its transfer function, amplitude-frequency response phase-frequency response, time-varying verified. Finally, simulation results demonstrate our theoretical analysis. Furthermore,...

Active filters based on memristor and memcapacitor (AFMM) including low-pass, high-pass, bandpass, band-stop filter, are studied in this paper. By replacing resistor capacitor with memcapacitor, the novel AFMMs designed. Then transfer function, cut-off frequency, Bode plot demonstrated. Experiment results show that amplitude frequency phase-frequency responses change over time.

This paper presents global exponential synchronization of drive-response memristor-based recurrent neural networks(MRNNs) with mixed delays. Considering the bounded distributed delays and time-varying as a novel kind delays, MRNNs are proposed. Then, state feedback controller is designed. By using lyapunov functional inequality techniques, criteria on derived. Finally, numerical example simulation results given to illustrate our theoretical results.

A novel memristive elements-based chaotic circuit only containing three elements of memristor, memcapacitor and meminductor is highlighted in this paper. The state equations the are described, dynamical behaviors such as equilibrium set, Lyapunov exponents bifurcation diagram revealed by theoretical analyses numerical simulations. Simulation results demonstrate that sum five negative maximal exponent equal to 0.1773, which verifies typical characteristics limit cycle 1-scroll attractor. most...

This paper presents two circuits: new band-pass filter (BPF), and band-stop (BSF), which are derived from a simple passive RLC series circuit by replacing resistor capacitor with memristor memcapacitor. Compared the traditional filter, these memristive filters show more characteristics like time-varying, flexibility, controllability among others, highlights their potential usage for signal filtering applications. On this basis, division model is designed using time-varying cutoff frequencies...

This paper presents a new kind of electrical circuit which replace traditional resistor, capacitor and inductor with memristor, memcapacitor meminductor. These 3 memory devices constitute RLC circuit. The will show prove the characteristics band-pass band-stop filter including memcapasitor Unlike components, value mem-devices is time-varying, has higher controlability usage. Band-pass further application such as signal processing.

A modified Chua's circuit is implemented meminductor and the improved memristive diode bridge emulator in this paper. The state equations of are described. dynamical behaviors such as equilibrium set, Lyapunov exponents diagram revealed by theoretical analysis numerical simulations. Furthermore, exhibits rich including chaos, hyperchaos, periodic windows, period states, crisis scenarios coexisting attractors. It noted that attractors depend on initial values parameters system. simulation...

The conventional finite control set model predictive current (FCS-MPCC) suffers from suboptimal steady-state performance, primarily due to the limited selection of only eight basic voltage vectors in each cycle. To overcome this limitation, proposed extended MPCC (ECS-MPCC) utilizes an consisting 818 selectable vectors, enabling a more refined output and achieving deadbeat response for by minimizing cost function. mitigate computational burden resulting substantial increase simplified search...