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Plane wave imaging is generally performed using linear array transducers which array pitch is larger than one wavelength, resulting in grating lobe artifacts. In addition, larger element width associated with linear array transducers reduces delay accuracy for delay-and-sum based plane wave beamformation and therefore causes higher sidelobes and lower imaging contrast. To suppress both of the artifacts,...
In statistics, Canonical Correlation Analysis (CCA) is a kind of method to effectively analyze the correlation between two data. In recent years, some methods reported in literatures treated the action video sequences as the tensors, and calculated the similarity between two video sequences using CCA. Each of these tensors was unfolded into several matrices or vectors in the previous works. And estimated...
To achieve high quality of silicon ICs, system-level test (SLT) can be performed after regular final test. This is important for chips manufactured in advanced technologies, as systematic failures are getting harder to detect by conventional structural tests. However, due to long test time and extra human efforts, the cost for SLT is high. A possible way to replace SLT without quality loss is to identify...
With the development of GNSS, the design and optimum selection of the ranging code is of significant importance for navigation system design. This paper describes the generation of the Weil code based on the design of ranging code. And then in order to select ranging codes of better performance, the paper describes a new optimum selection method in detail. This method is a combination of code selection...
This article looks at combining the Curvature Scale Space (CSS) shape matching algorithm and the Watershed Algorithm with the aim of creating a simple yet effective leaf identification software. The CSS shape matching algorithm solves the problems of: • Leaf self-intersection — Parts of a leaf overlap. • Leaf rotation — Images that are rotated. • Leaf variation — No two leaves are the same. The Watershed...
A new approach to obtain real-time positions of fiducial markers in MV treatment beam images is proposed. The MV images are firstly preprocessed to enhance contrast in the treatment field. To deal with large variations in projected marker shape, we propose a learning-based approach to detect marker locations in the enhanced MV images. We also show that marker tracking can be accomplished much more...
With regard to the high dimensional and small sample facial feature, this paper introduced the Kernel and Canonical Correlation Analysis (CCA) into the Locality Preserving Projections (LPP) algorithm and proposed a new face recognition algorithm based on the Kernel Base Locality Preserving Canonical Correlation Analysis (KLPCCA) with the derivation process. According to this algorithm, first use CCA...
This paper presents a new method using principal component analysis (PCA) to eliminate data redundancy in loudspeaker fault detection. It uses wavelet packet transformation (WPT) to decompose the loudspeaker acoustics signal into 32 packet node signals. Then, get the mean, max, standard deviation and correlation coefficient of every node envelopment .With the way of observing, it gets 63 coefficients...
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