Circuits, Systems, and Signal Processing

This paper introduces a novel algorithm for optimizing the coefficients of the digital filters used in incremental delta-sigma analog-to-digital converters (IDSC). This algorithm is modified from constrained linear least squares (LS) to improve ...$$

We demonstrate a low-power (P_dc) 25.5–30.7 GHz CMOS variable-gain amplifier (VGA). The VGA constitutes a common-source (CS) input stage (M₁), followed by current-reused CS gain (M₂) and output stages (M₃). Transistors M₁-M₃ adopt the topology of B-...

This study presents a time-difference amplifier (TDA) based on adjustable current sources. The proposed amplifier uses a phase detection circuit, delay element, and current source architecture for time-difference (i.e., delay) amplification. It ...$\mathrm{}\mathrm{}$${}^{\mathrm{}}$$\mathrm{}\mathrm{}$${}^{\mathrm{}}$

A theoretical study of the behavior of some elementary first- and second-order functions, which are suitable for realizing negative group delay, is performed in this work. As both the gain and phase responses are simultaneously considered, ...

This paper studies the problem of finite-time stabilization for singular Markov jump systems (SMJSs) with time-varying delays and generally uncertain transition rates. First, a suitable Lyapunov–Krasovskii functional is constructed. And the ...${\stackrel{}{}}_{}$

In this paper, we introduce the salp swarm optimization algorithm (SSOA)-based novel model reduction algorithm for simplifying commensurate and incommensurate fractional-order systems. In the case of commensurate fractional-order systems (CFOSs), ...

This paper studies a class of input-saturated nonlinear systems with Lipschitz condition. We combine the fully actuated system approach with anti-windup control to design control system. The proposed control method has the advantages of both fully ...

This paper designs a decentralized sliding mode preview repetitive control (SMPRC) for interconnected nonlinear systems. First, an augmented error system, which is composed of the derivative equation of the available future reference dynamics, the ...

Lag consensus is an essential dynamic behavior in nature and practical systems, which means that the trajectory of followers lags behind the leader owing to a track time-delay. In this paper, the lag consensus problem under event-triggered control ...

Nonlinear matrix equations have important applications in optimal control problems. This study introduces parametric iterative methods aimed at determining solutions for the symmetric algebraic Riccati equation (SARE) expressed as: ...

Heart diseases have a great impact on human health. Heart sound signals contain a lot of useful information about heart diseases. Therefore, various heart diseases can be judged by heart sound auscultation. In order to improve the accuracy of ...

Reference-free low-light image enhancement methods only employ low-light images during training, thereby significantly alleviating the over-reliance on obtaining paired or unpaired datasets. Existing reference-free low-light image enhancement ...

Image enhancement is a vital process that serves as a tool for improving the quality of a lot of real-life applications. Fractional calculus can be utilized in enhancing images using fractional order kernels, adding more controllability to the ...

This research presents a single-channel speech enhancement approach based on the combination of the adaptive empirical wavelet transform and the improved sub-space decomposition method followed by a deep learning network. The adaptive empirical ...

A novel hybrid fusion scheme is proposed by employing non-subsampled shearlet transform (NSST) and stationary wavelet transform (SWT). In the preliminary stage, multimodal input images are putrefied comprehensively by NSST. The regional energy as ...

Approximate computing has emerged as a design alternative to enhance design efficiency by capitalizing on the inherent error resilience observed in numerous applications. Various error-resilient and compute-intensive applications, such as signal, ...${\mathrm{}}^{}$${\mathrm{}}^{}$${\mathrm{}}^{}$${\mathrm{}}^{}$${\mathrm{}}^{}$${\mathrm{}}^{}$

The self-trajectory determination is an effective method to continuously track the target’s motion position. However, the traditional methods are relied on auxiliary parameters, which cause the problems of information loss and error accumulation. ...

In magnetic resonance (MR) image reconstruction, the orthogonal matching pursuit (OMP) is widely recognized for its simplicity and competitive performance. However, OMP designs a termination condition based on some prior information such as ...

The controlled autoregressive autoregressive moving average (CARARMA) models are of popularity to describe the evolution characteristics of dynamical systems. To overcome the identification obstacle resulting from colored noises, this paper ...

Approximate multipliers are widely used in image processing and multimedia signal processing applications for the reduction in area, computation time, and power consumption. 4:2 compressors play a key role in multipliers for efficient addition of ...

Decomposing an image into meaningful components is an effective way for image processing. Making full use of cartoon features and texture features with deep neural networks may further achieve the stable noise cancellation performance for low-dose ...

In this article, we focus on the application of fractional differential calculus in image processing, specifically in the context of image decoding techniques. The article presents different methods of image decoding based on Riemann–Liouville ...

In this paper, we propose a novel convex combination algorithm based on the distributed diffusion strategy, utilizing the least mean square (LMS) approach to enhance the performance of sensor networks. By enabling communication among nodes, the ...

In this study, a wireless signal direction-of-arrival (DOA) estimation approach based on the cross-correlation calculation of the receiving array signal with parallel stochastic resonance system (PSRS) is proposed. It can fulfill the DOA ...

In the past decade, the augmented complex-valued least mean square adaptive filtering algorithm based on the minimum mean square error criterion and widely-linear model has attracted much attentions due to its simplicity and applicability to non-...

Most of the existing deep learning-based speech denoising methods rely heavily on clean speech data. According to the traditional view, a large number of noisy and clean speech samples are required for good speech denoising performance. However, ...

The Hilbert transform (HT) is an important method for signal demodulation and instantaneous frequency (IF) estimation. The modulus of the analytic signal constructed by the HT is considered as the amplitude, and the derivative of the instantaneous ...

This communication introduces new configurations of series-type grounded/floating R-C and R-L simulator circuits. The grounded series R-C circuit makes use of a single voltage differencing inverted buffered amplifier (VDIBA), in addition to one ...

This article investigates the asymptotic stability of fractional-order (FO) systems with uncertainty and time-varying delay based on the sliding mode control (SMC) method. First, based on the SMC method, a suitable integral type fractional-order ...

In this paper, we present an underdetermined estimation algorithm for two-dimensional (2-D) direction of arrival (DOA) based on three-parallel co-prime arrays. By exploiting the correlation among the received signals in both the time and spatial ...