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Image registration is an excellent tool in different fields. Its medical applications are various in many clinical situations in order to analyze the patient's situation and to follow the localization of malignant sites. Generally, registration can be categorized according to several criterions. In this work, we are interested in the similarity function, for that we contributed a normalized dissimilarity...
A sort method is proposed to enhance the significant spectral components of test set. In the field of integrated circuit testing, to calculate significant spectral components, it's necessary to do spectrum analysis for the test set. In this paper, a bipartite graph and weight matrix are constructed based on the test set and its significant spectral components. Therefore, the problem of enhancement...
Obstructive Sleep Apnea (OSA) is a sleep disorder highly prevalent in the general population. Cardiorespiratory Phase Synchronization (CRPS) is a form of non-linear interaction between respiratory and cardiovascular systems that was found to be reduced in severe OSA patients. The Hilbert Transform (HT) method was the recommended choice for estimating the respiratory phase in CRPS studies. But we have...
The length of Beidou CB2I code is twice that of the Global Position System (GPS) C/A code, and the resource consumption will be doubled on embedded hardware with a finite resource if it is processed with the traditional algorithm. Hence, this paper proposes an acquisition algorithm based on combined Fast Fourier Transform (FFT), which separates a signal into odd and even sequences and processes them...
In this paper, a method to detect joint time-frequency offset is proposed based on the linear canonical transform. According to the fundamental properties of this transform, a parametric correlation is introduced, which can be regarded as the generalization of methods based on correlation and other transforms. Besides, its maximum can be identified with a line structure in the time-frequency plane...
This paper presents a methodology to extract the respiration from a single-lead ECG waveform using the iterated Hilbert transform (IHT) technique. It is proposed that the amplitude components (envelopes) obtained in the initial iterations of the ECG decomposition using the IHT technique contain the information about the respiration, and these amplitude components can be utilized to estimate the respiration...
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...
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...
Satellite Image captured has a high degree of data storage and requires more time for its recovery. Multiple transmission is required while recovering the images of similar features but of large capacity. Image Embedding is one such technique that will not only reduce storage capacity but also enables steganography. The two high resolution images are first registered using registration technique....
Information is at the center of decision making in many systems and use-cases. In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources of these opinions are not always competent and honest but often erroneous or even malicious. Furthermore, malicious sources may adopt certain behaviors to mislead the decision maker in a specific...
There is a tiny difference between the main peak and side peaks after the traditional quadratic correlation calculation in the time-delay estimation of passive acoustic positioning system. It is easy to lead to a wrong peak value when the system resolution is low or mutations caused by noises occur near the side peaks. In order to weaken the influence of the quadratic correlation side peaks, the method...
Crude protein and amylose content are 2 important indexes of rice quality, the aim of the study is to explore an appropriate method and model to monitor the rice quality by using hyperspectral data. We colleceted samples in 2013 and 2014 when rice entered the mature period in the east of Deqing county and aquired the hyperspectral data of 4 diffenent forms of rice, including ear of rice, paddy, rice...
Sample quality plays an important role in tracking-by-learning strategies, but the reliable online samples are hard to be obtained due to challenges of variational environments. By modeling how human visual interest actively guiding the seek of salient regions and movements in video sequences, in this paper, a compositional tracking strategy is proposed based on an integrated saliency map, which is...
Sparse representation is capable of modeling signals as linear combination of a few atoms from a pre-trained dictionary. It allows learning an adaptive dictionary that leads to highly sparse nature in the representation of signals. In this paper, sparse representation is deployed in a lossy hyperspectral data compression framework. Dictionaries that exploit spectral correlation, as well as both spectral...
Robust optimization has gained increasing attention in the power system area due to its ability to model uncertainties using modest information while producing reliable solutions. However, a common concern with the robust approach is that it can be overly-conservative. To address this issue, we propose a data-driven method to construct uncertainty sets by using autoregressive integrated moving average...
Design of strong symmetric cipher systems requires that the underlying cryptographic Boolean function meet specific security requirements. Some of the required security criteria can be measured with the help of the Autocorrelation function as a tool, while other criteria can be measured using the Walsh transform as a tool. The connection between the Walsh transform and the Autocorrelation function...
The complexity of a system needs to be understood completely in order to build and run successful systems. Cybernetics Influence Diagram is a qualitative model which has been used in a large program for depiction of the system complexity [11][12][13]. The depiction is qualitative in nature. Generally the subject matter experts (SME) try to understand the complexity of a system by capturing the influences...
We bring out a runway extraction method based on rotating projection in this paper, which is consisted of three steps, locating the Region of interest (ROI), edge extraction and line detection. Firstly we employed template matching to locate the ROI which contains the runway area. Then we use Sobel operator to extract edges. The rotating projection algorithm is proposed to seek the potential straights...
Stochastic Point location (SPL) problem, in which a learning machine (LM) (entity, robot, algorithm, etc) tries to locate a certain point in an interval, belongs to the area of Machine Learning. During the process, LM is interactive with a stochastic environment so that the information available is probably wrong. In some conventional methods, the line is sampled into discrete points and the authors...
In relay wireless systems, a data packet transmitted by a source node is forwarded by one or many relays nodes before reaching the destination node. In actual technologies, the destination recovers the identities of the sources and relays of received signals by using signaling information exchange before the data exchange and by including identities information (addresses) in data sequences. In this...
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