In this paper,a novel maximum corren-tropy high-order extended Kalman filter(H-MCEKF)is proposed for a class of nonlinear non-Gaussian systems presented by polynomial form.All high-order polynomial terms in the state model are defined as implicit variable
The conventional convolutional neural network performs not well enough in the ground objects classification because of its insufficient ability in maintain-ing sensitive spectral information and characterizing the covariance of spatial structure,resulting
In this paper,a hybrid deep learning network-based model is proposed and implemented for maneuver decision-making in an air combat environment.The model consists of stacked sparse auto-encoder net-work for dimensionality reduction of high-dimensional,dyna
Unsupervised person re-identification(Re-ID)aims to improve the model\'s scalability and ob-tain better Re-ID results in the unlabeled data domain.In this paper,we propose an unsupervised person Re-ID method based on multi-granularity feature representa
A new classification model,the fuzzy hy-brid twin support vector machine(TWSVM),namely FHTWSVM,is proposed by combining the fuzzy TWS-VM and the hypersphere support vector machine(SVM).The hypersphere SVM is utilized for generating the hy-perspheres for t
Speech emotion recognition(SER)is the use of speech signals to estimate the state of emotion.At present,machine learning is one of the main research methods of SER,the test and training dataS of tradition-al machine learning all have the same distribution
This paper reports a successive approx-imation register(SAR)analog-to-digital converters(ADCs)with the 2nd-order and optimized noise shaping(NS)scheme.Based on the feed-forward structure,both noise transfer function(NTF)zero and pole optimization have bee
With the development of face image syn-thesis and generation technology based on generative ad-versarial networks(GANs),it has become a research hot-spot to determine whether a given face image is natural or generated.However,the generalization capability