A novel edge detection method based on dynamic threshold neural P systems with orientation
The existing edge detection methods can often encounter several common shortcomings: discontinuous edges, weak edges, easy to be affected by noise, and difficulty in setting gradient thresholds. To address these shortcomings, this ...
Outlier-robust truncated maximum likelihood parameter estimators of generalized Pareto distributions
Compound-Gaussian model with inverse Gamma-distributed texture is widely used to characterize high-resolution sea clutter and is also referred to as the generalized Pareto (GP) distributions. In real oceanic environments, sea clutter ...
Adaptive M-ary spread spectrum based dual-function detection and communication system
- An underwater dual-function transmit waveform is proposed based on continuous active sonar (CAS) system, which can perform the CAS detection and ...
In this paper, we propose a joint detection-communication technique for continuous active sonar (CAS) systems. Particularly, we embed information in the waveforms used for sonar detection via the adaptive M-ary Spread Spectrum ...
Energy-efficient adaptive virtual-MIMO transmissions for LoRa uplink systems
Long range radio access (LoRa) is supposed to be a promising low-power wide-area network (LPWAN) technique for the massive Internet-of-Things (mIoT) applications. It can support up to six end devices (EDs) to transmit ...
The diffusion least mean square algorithm with variable q-gradient
- We propose a novel v-q-DLMS based on the q-gradient method.
- The analysis for v-...
To avoid the local minima in optimization for distributed adaptive filters, the q-gradient diffusion least mean square (q-DLMS) algorithm uses the q-gradient vector to estimate parameters of interest in distributed networks. However, ...
Full-duplex cooperative uplink NOMA with adaptive decoding order
In this paper, a full-duplex (FD) cooperative uplink (UL) non-orthogonal multiple access (NOMA) network is studied, where a far user communicates with a base station via a direct link and user relaying. It is assumed that there exist ...
Time-frequency readability enhancement of compact support kernel-based distributions using image post-processing: Application to instantaneous frequency estimation of M-ary frequency shift keying signals
Time-frequency distributions (TFDs) based on time-lag kernels with compact support (KCS) have proved their high performance in terms of resolution and crossterms suppression. However, as for all kernel-based quadratic TFDs, these ...
Image declipping: Saturation correction in single images
High dynamic range (HDR) images present fine details in a scene and are visually more appealing than low dynamic range (LDR) images, since they contain a greater dynamic range of color gamut. HDR compatible displays are currently high-...
An adaptive IMM filter for jump Markov systems with inaccurate noise covariances in the presence of missing measurements
This paper derives a Kullback-Leibler average (KLA) based adaptive interacting multiple model (IMM) filter for jump Markov systems with inaccurate noise covariances in the presence of missing measurements. Firstly, a switching error ...
A novel multilevel framework based contrast enhancement for uniform and non-uniform background images using a suitable histogram equalization
- The appropriate histogram equalization is determined by sorting images into uniform and non-uniform backgrounds.
The histogram equalization approach, which is employed for image enhancement, reduces the number of pixel intensities, resulting in detail loss and an unnatural impression. This research proposes a strategy to improve the contrast of ...
MmWave relay systems with robust hybrid transceiver designs under correlated channel estimation errors
In this paper, we incorporate mmWave systems with relay techniques to propose a hybrid transceiver design approach. The existing researches of hybrid transceiver designs mostly rely on accurate channel state information acquisitions. ...
Shouted and whispered speech compensation for speaker verification systems
Nowadays, speaker verification systems begin to perform very well under normal speech conditions due to the plethora of neutrally-phonated speech data available, which are used to train such systems. Nevertheless, the use of vocal ...
Highlights
- A theoretical study on the vocal effort modes “whispered”, “normal” and “shouted” to better understand their main characteristics.
Energy-efficient collection scheme based on compressive sensing in underwater wireless sensor networks for environment monitoring over fading channels
Considering the energy-limited and fading channels of large underwater wireless sensor networks (UWSNs) in long-term environment monitoring, an energy-efficient collection scheme based on compressive sensing (CS) in UWSNs for ...
Enhanced compressed sensing autofocus for high-resolution airborne synthetic aperture radar
The limited accuracy of the navigation system leads to deviations between the real and measured trajectories in airborne synthetic aperture radar (SAR) which results in residual motion (phase) errors and seriously degrades the image ...
Interrupted-sampling repeater jamming suppression with one-dimensional semi-parametric signal decomposition
Protective measures against interrupted-sampling repeater jamming are vital for coherent wideband radar. This paper proposes a one-dimensional semi-parametric method for the interrupted sampling repeater jamming suppression by ...
Cooperative caching strategy based on cluster and social interest in mobile edge network
Mobile edge caching can deliver contents directly without the backhaul link, which can effectively solve the problem of spectrum scarcity caused by huge mobile data traffic. In this paper, different from the existing user-centric ...
Sequential detection of a temporary change in multivariate time series
In this work, we aim to provide a new and efficient recursive detection method for temporarily monitored signals. Motivated by the case of the propagation of an event over a field of sensors, we assumed that the change in the ...
Survey of natural image enhancement techniques: Classification, evaluation, challenges, and perspectives
Image enhancement is an essential technique used in many imaging applications. The main motivation of image enhancement is processing an image to be more suitable for specific utilization. Various image enhancement methods have been ...
A DPTF algorithm for the time-delay estimation in the reflected environment
In passive localization, time-delay estimation (TDE) is an important technology. A common super-resolution approach for TDE is the generalized phase spectrum (GPS). However, because of the reflection in the environment, the phase of ...
Low-complexity intra coding scheme based on Bayesian and L-BFGS for VVC
H.266/Versatile Video Coding (VVC) is the latest generation of video coding standards. Compared with H.265/High Efficiency Video Coding (HEVC), the number of intra modes expanded from 35 to 67, and the Quad Tree with nested Multi type ...
Multi-order nearest neighbor prediction for recommendation systems
Recommendation systems (RSs) can establish a relationship between users and items and recommend the seemingly unrelated but actually interesting items to target users by utilizing their behavior. However, the recommendation performance ...
Fundamental frequency estimation by an interpolated DFT algorithm eliminating negative-image component interference in arbitrary windows
- A high-accuracy interpolated discrete Fourier transform algorithm is proposed.
- ...
Interpolated discrete Fourier transform (IpDFT) is an effective algorithm for spectrum analysis. However, the interference effect from the negative-image component significantly influences the accuracy of spectrum analysis for a small ...
Robust adaptive algorithms for fast principal component analysis
In this paper, we investigate the robust estimation of the principal eigenvectors of multivariate observations in an adaptive scheme. Indeed, this problem known as PCA (Principal Component Analysis) has already many efficient solutions ...
Distortion detection and removal integrated method for image restoration
Image restoration has been the focus of research in image processing, and current methods mainly target specific single distortion or hybrid distortion with known distortion types. However, real-world images generally affected hybrid ...
Minimum entropy distortionless response tensorial adaptive beamforming algorithm
We consider herein developing the distortionless adaptive beamformer for the reception of a second-order non-circular signal of interest (SOI) equipped with a massive polarized antenna array endowed with the property of multilinear ...
Hierarchical mining with complex networks for music genre classification
- Music genre classification using spectrograms and complex networks.
- Compare ...
Music genre is an important feature to identify a musical work. Thus, it is the most used label to organize musical datasets. However, this label is not always available and its identification is not a simple and direct task. Hence, in ...
One-bit DACs precoding for massive MU-MIMO systems based on antenna selection architecture
In massive multi-user multiple-input multiple-output (MU-MIMO) communication systems, the utilization of one-bit digital-to-analog converters (DACs) in the base station (BS) radio frequency (RF) chains can significantly reduce the ...
Recursive sliding DFT algorithms: A review
This paper reviews different recursive structures of Sliding Discrete Fourier Transform (SDFT) algorithms. Normally, a SDFT algorithm is introduced to design a filter or to compute N-point DFT through subsequent iterations in a ...
Joint active device detection and channel tracking of high-rate IoT devices in uncoordinated scenario with uncertain access probabilities over massive MIMO system
Massive MIMO systems can serve a large number of devices simultaneously and support these devices' traffic requirements, which is a prime requisite for the high-rate Internet of Things (IoT). All IoT devices send pilots to BS without ...