The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A direct sequence spread spectrum (DSSS) signal is commonly used in inter-satellite link (ISL) in navigation constellation; however, acquisition is a challenging task because of large-scale relative movement between satellites. In general, a signal search (carrier frequency and code phase) is implemented using two-dimensional partitioned fast Fourier transforms (FFTs), which is limited by the memory...
Thyroiditis is a health disorder and it refers to “inflammation of the thyroid glands”. Once a thyroid nodule has been detected (or suspected), the first test that is routinely being performed is the fine needle aspiration (FNA) biopsy (invasive). This test result is helpful in the classification of the nodule being benign or malignant with the aid of bio-markers. Another common test is the Ultrasound...
This paper propose a road detection, which is based on the color space and cluster connection. Generally, this method consists of two steps. The first step is road detection based on the color space. The second step is removing the fails road detection in the first step by using correlation. The correlation formula is used for calculating the similarity of each cluster image. The fails road detection...
Distance information is useful for satellite constellation. Evaluating the accuracy of spread spectrum receiver under finite bandwidth is still hard and few researches focus on that. In this paper, we build the signal model of DSSS signal under finite bandwidth, and then derive the mathematic form of error function. Furthermore, we propose the error factor, which is decided by bandwidth and early-to-late...
Chirp signal is a common waveform in many actual information processing systems, such as speech, radar, sonar, etc. Chirp class signals include linear frequency modulation (LFM) signals and signals derived from LFM, e.g. the polyphase coded signals. In this paper, aiming at the circumstances of extremely low signal to noise ratio (SNR), we use the Lv's distribution (LVD) to represent the chirp class...
This paper focus on classification of coastal landform. The study area is locate in QinZhou, Guangxi Zhuang Autonomous Region, China, using GF-1 image. In view of complex coastal landform, the current study firstly transforming RGB model to CIE LAB model, dividing image based on colour gradient, then conducting Gabor filtering and PCA transformation to develop texons and generating texton histogram...
In side channel attacks (SCA), noise has been a hot topic for affecting the quality of obtained observations. In this paper, we propose a kind of improved wavelet transform denoising method based on singular spectral analysis (SSA) and detrended fluctuation analysis (DFA). Principal signal component in SSA can be selected by DFA adaptively, and residual part can be denoised by wavelet transform to...
Feature extractor plays an important role in visual tracking due to the changing appearance of the object. In this paper, we propose a novel approach in correlation filter framework, which decomposes the task of tracking into translation and scale estimation. We employ two correlation filters with hierarchical convolutional features to estimate the translation. Furthermore, we use a discriminative...
In this paper, a novel image encryption algorithm based on bit-level Arnold transform and hyper chaotic maps is proposed. To commence, the scheme decomposes the original grayscale image into 8 binary images. Then we use chaos to generate sequences to shift the images before manipulating Arnold transform. Finally, the hyper chaotic map is adopted to produce pseudorandom sequences to diffuse the binary...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.