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Transmit beampattern synthesis for chirp space-time coding array by time delay design

期刊: DIGITAL SIGNAL PROCESSING, 2021; 110 ()

In a multiple-input multiple-output (MIMO) radar, it is desired to maximize the power radiation in an angular region of interest, which, however, is h......

Deriving structures of FFT based filter banks by signal flow graphs

期刊: DIGITAL SIGNAL PROCESSING, 2021; 117 ()

The design of filter banks, which is a frequently used operator for many practical applications, has been widely reported in the literature. The requi......

A general model-based filter initialization approach for linear and nonlinear dynamic systems

期刊: DIGITAL SIGNAL PROCESSING, 2021; 111 ()

Tracking performance significantly relies on the quality of filter initialization, including accuracy and consistency, especially in a nonlinear filte......

A compact multi-pattern encoding descriptor for texture classification

期刊: DIGITAL SIGNAL PROCESSING, 2021; 114 ()

Binary pattern family is considered as a powerful tool for visual texture classification. Most popular methods improve the classification performance ......

On recovering missing values for discrete time signals with finite sets of spectrum degeneracy

期刊: DIGITAL SIGNAL PROCESSING, 2021; 111 ()

The problem of recovery of missed values for discrete time processes is considered in a pathwise setting without probabilistic assumptions. A new clas......

Semiblind Uni-ALS receiver for a two-way MIMO relaying system based on the PARATUCK2 model

期刊: DIGITAL SIGNAL PROCESSING, 2021; 110 ()

In this paper, we consider a two-way multiple-input multiple-output (MIMO) relaying system employing simplified space-time (ST) coding at both sources......

Numerical solving of the generalized Black-Scholes differential equation using Laguerre neural network

期刊: DIGITAL SIGNAL PROCESSING, 2021; 112 ()

Reasonable pricing of options in the financial derivatives market is crucial. For American options, or when volatility and interest rate are not const......

Weighted multiwindow discrete Gabor transform

期刊: DIGITAL SIGNAL PROCESSING, 2021; 117 ()

According to the Heisenberg uncertainty principle, an analysis window with a high time resolution in time domain will result in a low frequency resolu......

Sensing beyond itself: Multi-functional use of ubiquitous signals towards wearable applications

期刊: DIGITAL SIGNAL PROCESSING, 2021; 116 ()

Wearable technologies provide a non-invasive way to monitor user's activity, identity, and health in real-time, which have attracted tremendous intere......

Eliminating the end effect of empirical mode decomposition using a cubic spline based method

期刊: DIGITAL SIGNAL PROCESSING, 2021; 110 ()

The empirical mode decomposition (EMD) is a method that is commonly applied to extract the intrinsic mode functions (IMFs) of a signal by a sifting pr......

SLOPE: A monotonic algorithm to design sequences with good autocorrelation properties by minimizing the peak sidelobe level

期刊: DIGITAL SIGNAL PROCESSING, 2021; 116 ()

Sequences with low autocorrelation sidelobes has applications in various fields like wireless communications, radar, sonar, cryptography to name a few......

Emotion recognition based on fusion of long short-term memory networks and SVMs

期刊: DIGITAL SIGNAL PROCESSING, 2021; 117 ()

This paper proposes a multimodal fusion emotion recognition method based on Dempster-Shafer evidence theory, which includes electroencephalogram (EEG)......

Degree and noise power estimation from noisy polynomial data via AR modelling

期刊: DIGITAL SIGNAL PROCESSING, 2021; 114 ()

An accurate estimation of the noise power from noisy data leads to better estimation of signal-to-noise ratio (SNR) and is useful in detection, estima......

Two-stage prediction of machinery fault trend based on deep learning for time series analysis

期刊: DIGITAL SIGNAL PROCESSING, 2021; 117 ()

Fault prediction technology provides a way to reduce the loss caused by equipment failure. Currently, many efforts of failure prediction pay more atte......

Semantic feature extraction based on subspace learning with temporal constraints for acoustic event recognition

期刊: DIGITAL SIGNAL PROCESSING, 2021; 110 ()

In acoustic event recognition (AER), it is important to extract semantic features. As two crucial aspects of semantic features, the essential content ......

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