Global climate change has become a trend and is one of the main factors affecting biodiversity patterns species distributions. Many wild animals adapt to changing living environment caused by their habitats. Birds are highly sensitive change. Understanding suitable wintering habitat Eurasian Spoonbill (Platalea leucorodia leucorodia) its response future climatic essential for protection. In China, it was listed as national grade II key protected animal in adjusted State List 2021, Near...

Handling the nonlinearity between measurement and kinematic states is core issue in target tracking based on radar or sonar. The main novelty of this paper proposal a new filter with linear structure to achieve nonlinear by integrating information polar coordinate system. state vectors composed range, bearing their differentials are constructed make equations linear. After discretizing ordinary differential dynamic system, time-varying transition matrixes established for two common Cartesian...

This study introduces a novel filter, termed the high-order unscented particle filter (HUPF). Utilizing HUKF, HUPF advances sample particles toward regions of higher likelihood and consequently derives an improved importance proposal distribution, closely aligned with posterior probability. Distinct from implements transform instead conventional second-order variant. Due to superior accuracy HUKF over standard UKF, not only selects more judiciously, enhancing utilization, but also...

A novel thresholding function is presented based on the wavelet put forward by Donoho and Johnstone. This new proposed to overcome hard threshold not continuous. Wavelet soft constant deviation derivative discontinuity defects. It clear in physics meaning simple expression. Experimental results show that denoising resulting minimum mean square error (MSE) peak signal-to-noise ratio (PSNR) superior traditional function.

This paper introduces the advantages of a new type radar signal. signal adopts linear frequency modulation in pulse mode and phase coded method between pulses. In this paper, we use ambiguity function theory LPI to analyses composite Analysis result shows superiority

Considering the background of roller bearing's compound fault with strong noise, it is difficult to determine actual when machine has something wrong. In this paper, we propose a method which called as multi-resolution and effective singularity value decomposition in under-determined blind source separation. Firstly, put one-channel signal into several components through singular decomposition. By improving signal's dimension, solve limitation classical separation case. That say observed...

Strong nonlinearity between Doppler measurement and target motion in radar tracking leads to the inadequate utilization of information limited accuracy. We solved this problem by combining converted state Kalman filtering Interacting Multiple Model. This maneuvering method is suitable for measurement. First, we Cartesian coordinate polar coordinate. Then, expanded equation include measurement, making linearly related observation vectors allowing efficient information. Next, used unscented...

In the research of singular signal detection, selection wavelet function is first issue to be considered.How choose for detection emphasized in this paper.It's based on fact that can perfectly selected by comprehensive considering characteristics function, such as compact support, regularity and vanishing moments.The simulation presented illustrate validity feasibility method.

In view of the problem that feature vectors are difficult to extract accurately in mechanical fault diagnosis, taking rolling bearing as an example, a new diagnosis method based on combination improved wavelet packet energy entropy and GA-SVM(GA optimization SVM algorithm) classification algorithm is proposed. The analysis used decompose collected signals by multi-layer packet, reconstructed decomposition signal single branch, extracting entropy, formation for using it input establish model...

Noise suppression is one of the key problems in image processing. In recent years, sparse representation theory applied denoising successfully. The primary idea to denoise an via over-complete dictionary trained by K-SVD algorithm based on OMP (Orthogonal Matching Pursuit) algorithm. This method receives good performance quality but slow computation speed because high computational complexity. order up while keeping quality. paper discusses a adaptive from noisy using improved and steepest...

Images are usually inevitably polluted by noise during the transmission and reception of images. The reliability quality an image can be reduced noise. Noise suppression is one important problems that not ignored in processing. Through past decades, various denoising methods had been adopted received good performance. These denoise a noisy which supposed to Gaussian image. But common exist pepper salt Most only considers while ignoring Denoise with both gaussian via traditional remove...

On the account of colon cancer genetic data signals are non-stationary and difficult to obtain a large number samples in actual conditions, this text proposes diagnostic research method based on EMD (empirical mode decomposition) combining with LS-SVM. Adopting decomposes normal people patients. Figure out each IMF's characteristic vector regard them as testing training The results by classifying patients respectively show that approach LS-SVM has better classification results, which can...

The MFCC and LPCC is the speaker recognition feature parameters to be used, speech of analysis often use these feature, therefore, we need a parameter extraction algorithm principle LPCC. reason that w e understand technological process. We are modeling speaker, traditional vector quantization model increase differential equation. formation series consecutive words distribution model, at same time, extracting characteristic Mel frequency cepstrum coefficient consists linear prediction...

With people's pursuit of high quality image, image denoising has always been a popular research. The traditional method is based on wavelet transform threshold. effect good, but prone to lose the structure and texture information. Based deficiency method, this paper put forward that morphological component analysis (MCA) decomposes an into structure. part uses all phase biorthogonal transform(APBT) dictionary sparse representation denoise. Block-Matching 3-D Filtering (BM3D) algorithm...

It is greatly significant to detect harmonic accurately and effectively for improving the quality of electric energy in power system. Actually, much noise exists signal besides harmonics, inter-harmonics, so key how signals from complex According analysis noise, a new method proposed paper based on Empirical Mode Decomposition (EMD) combination with Singular Value (SVD). Applications three cases into wave detecting show that EMD SVD successfully conquers mode aliasing caused by noise....

Empirical Mode Decomposition (EMD) is an effective, non-linear and non-stationary data analysis method, which can decompose the original signal into several intrinsic mode functions(IMFs). However frequency resolution of EMD has not been thoroughly investigated so far. In this paper a contains two different components was do composed with EMD, subsequently obtained IMFs compared to evaluate EMD.

This article presents the optimal estimation for extensively concerned linear multilateral positioning issues and further improves accuracy of range-only tracking significantly. The traditional multilateration method has been used to achieve target measurements, but completeness theory implementation effect is limited due imperfect model lack proper statistical error analysis. Moreover, performance representative nonlinear filters not satisfactory because strong nonlinearity between range...

As biometric vector may not follow the Gaussian distribution under complex light, pose and accessories, systems often yield unacceptable performance when subjected to impulsive, non-Gaussian noise. This paper adopts signal symmetric alpha stable theory construct fractional low-order independent component analysis algorithm (FLOD-ICA) applied FLOD-ICA solve partial occlusion face recognition problem. Experiments verified that our proposed scheme is effective for occlusion.

DSR protocol, the on-demand routing protocol used commonly in ad hoc, is suited for situation of low mobility and few data. becomes first choice designers WSN depending on characters it. In order to satisfy requirement energy, paper proposes a new named energy-related DSR. First, introduced brief, then way realizing Opnet function each model are expounded detail, at last, theory described detail. The simulation done performance analyzed based results.