Circuits, Systems, and Signal Processing

This study develops a multiphase voltage-controlled oscillator (VCO) by using the subfeedback loop technique. The proposed N-stage ring oscillator with k-stage subfeedback loops (where N is not a multiple of k) has N output phases, and its ...

In this paper, a double-pole double-throw analog switch with n-channel architecture driven by a charge pump is described. The architecture proposed in this paper not only can reduce the on-resistance of the complementary metal oxide semiconductor (...

In this paper, both grounded and floating type novel designs of inductance simulator, capacitance multiplier simulator and frequency-dependent negative conductance (FDNC) simulator are proposed. Current follower differential input transconductance ...

In this paper, a novel active generalized fractional-order memristor is constructed by using a memristor diode bridge in parallel with a negative resistance. Combined with fractional calculus theory, the fractional-order model of the memristor is ...

This article studies the existence and stability of the mild solution of the Caputo fractional non-instantaneous impulsive integro-differential equation in the Ulam–Hyers–Rassias sense. In order to establish a unique solution, we consider some ...

An artful complex algorithm to achieve high-efficiency high-precision multiobjective synchronous modeling and optimal solving of an analog IC is proposed. The complete approach combines response surface methodology (RSM) with an improved support ...

Due to the increasing demand for new materials and drugs in the manufacturing and pharmaceutical fields, it is difficult to meet the requirements of high-throughput screening of materials and drugs by measuring the physical and chemical properties ...${}_{}\frac{}{}$$\stackrel{}{\mathit{}}{}_{}\frac{}{}$${}_{}\frac{\mathrm{}}{}$

Second-generation voltage conveyor structures, based on the employment of flipped voltage follower stages, are investigated and proposed in this work. The proposed core has the feature of offering extremely low or electronically adjustable input ...

This paper deals with the interval observer-based controller design for switched linear parameter-varying (LPV) systems with external disturbance and measurement noise. Firstly, with the help of positive system theory, we design asymptotic ...

In this article, the adaptive output feedback control issue is studied for stochastic p-normal switched feedforward systems with event-triggered input and time-varying delays. The concerned systems contain high-order powers, unknown growth rate, ...

This paper investigates the ${\mathit{H}}_{\infty }$ synchronization problem of chaotic Lur’e systems (CLs) with disturbance and uncertainties. First, for the bandwidth-constrained communication channel, a sampled-data controller is introduced to ensure that the master–...${\mathit{}}_{}$${\mathit{}}_{}$

This paper is concerned with the problem of $H_{\infty }$ filtering for a class of discrete time-delay systems with a constrained communication network from sensors to the filter. The signal of measurement output is quantized by a quantizer, and then, the ...${}_{}$

The traditional greedy algorithm requires the signal sparsity as a known condition, and in most application scenarios, the signal sparsity is unknown, resulting in poor signal reconstruction accuracy. In order to solve such problems, this paper ...$$$$$$

Super-resolution (SR) technology based on deep learning has achieved excellent results. However, too many convolution layers and parameters consume a very high computational cost and storage space when training the model, which dramatically limits ...

Appropriate signal representation is the fundamental issue of concern in all signal processing-based applications. For instance, in the context of signal compression one would require the signal representation to be such that most of the ...

The feature extraction of a point cloud fragment model is the basis of fragment splicing, which provides the technical support for research on the segmentation, splicing, and restoration of fragment surfaces. High-quality feature extraction, ...

Existing electroencephalogram (EEG) collection devices primarily include EEG collection systems for medical scientific research and BrainLink or earphones for commercial advertising. The EEG collection systems employ multiple-input multiple-output ...

In recent years, researchers have considered quantum steganography and its various methods with the development and progress of research in computation theory and quantum signals processing. The destructive use of quantum steganography methods to ...

Recording the speech signals of Parkinson’s Disease (PD)-affected patients is challenging due to the surrounding noise. Therefore there is a need to denoise the signals. This paper proposes an Adaptive Noise Canceller-based model for signal ...

Low-power and high-speed calculation is very important nowadays for energy-efficient demand of electronic devices. With the usage of ANT (All-N-transistor) logic, the speed constraint caused by PMOS transistors can be overcome through an auxiliary ...$$$\mathrm{}$${}^{\mathrm{}}$

In order to improve tracking accuracy of time-varying sparse signals, a sparse state Kalman filter algorithm based on Kalman gain matrix is proposed in this paper. Under the constraint of sparse state, minimizing the mean square error and solving ...

$L_0$ norm plays a crucial role in sparse optimization, but discontinuities and non-convexity make the minimization of the $l_0$ norm be an NP-hard problem. To alleviate this problem, we design a smoothing function based on the sigmoid function to ...${}_{\mathrm{}}$

Finite rate of innovation (FRI) schemes have been proposed to reconstruct a class of discrete-time signals having small number of nonzero coefficients (sparse signals) from a limited number of observations. However, these reconstruction schemes ...

In this work, we address the problem of piecewise affine approximations, that is, to find piecewise affine functions that well-approximate a given signal. The proposed approach is optimal in the sense of $L^2$ norm and formulated in a compact and ...${}^{\mathrm{}}$

Minimally perturbed adversarial examples were shown to drastically reduce the performance of one-stage classifiers while being imperceptible. This paper investigates the susceptibility of hierarchical classifiers, which use fine and coarse level ...

The channel mismatches, particularly the gain and the timing skew errors degrade significantly the performance of high-speed Time-Interleaved Analog-to-Digital converters (TIADCs). The error correction using blind calibration methods is difficult ...

In this paper, we analyze the effect of opamp finite gain-bandwidth-product (GBW) on the performance of generalized impedance converter (GIC)-based frequency-dependent negative resistance (FDNR) realizations. Their use for realizing a resonator as ...

In this paper, we focus on a class of non-causal systems of differential equations, namely systems the variables of which can depend not only from the current or past time, but also from future time. For this type of systems, we study their ...

In this paper, we address the problem of angle estimation in bistatic multiple-input multiple-output (MIMO) radar with unknown mutual coupling and devise an effective algorithm for joint direction-of-arrival (DOA) and direction-of-departure (DOD) ...

Currently, the covariance matrix (CM) or pseudo CM of the received signal is processed to improve the degrees of freedom (DOFs) and estimation accuracy. This is where the second-order cumulant (SOC) in the two-dimensional (2-D) direction-of-...