Based on the three-dimensional GBSBCM (geometrically based double bounce cylinder model) channel model of MIMO for unmanned aerial vehicle (UAV), the simple form of UAV space-time-frequency channel correlation function which includes the LOS, SPE, and DIF components is presented. By the methods of channel matrix decomposition and coefficient normalization, the analytic formula of UAV-MIMO norma...

Fluorescence imaging using the dye indocyanine green as a contrast agent was investigated in a prospective clinical study for the detection of rheumatoid arthritis. Normalized variances of correlated time series of fluorescence intensities describing the bolus kinetics of the contrast agent in certain regions of interest were analyzed to differentiate healthy from inflamed finger joints. These ...

The present work describes a new approach for the automatic tracking of the glottal area from high-speed digital images of the larynx. This approach involves three processes: Firstly, the frame with the maximal glottal opening is found automatically, by detecting the frame for which the sum of pixel intensities is minimum. Secondly, a segmentation algorithm based on active contours is used to d...

Injury to a lower limb may disrupt natural walking and cause asymmetrical gait, therefore assessing the gait asymmetry has become one of the important procedures in gait analysis. This paper proposes the use of wireless gyroscopes as a new instrument to determine gait asymmetry. It also introduces two novel approaches: normalized cross-correlations (Cc(norm)) and Normalized Symmetry Index (SI(n...

Neural networks have shown good results for detecting a certain pattern in a given image. In this paper, fast neural networks for pattern detection are presented. Such neural processors are designed based on cross correlation in the frequency domain between the input image and the weights of neural networks. New general formulas for fast cross correlation as well as the speed up ratio are given...

A novel quantization watermarking scheme is presented in this paper, which is established following the feature modulation watermarking model. In this scheme, a feature signal is achieved by computing the normalized correlation (NC) between the host signal and a random signal. Information modulation is carried out on the generated NC by selecting a codeword from the codebook related with the em...

Neural networks have shown good results for detection of a certain pattern in a given image. In our previous work, a fast algorithm for object/face detection was presented. Such algorithm was designed based on cross-correlation in the frequency domain between the input image and the weights of neural networks. Our previous work also solved the problem of local subimage normalization in the freq...

FIG. 1. The GDPTV method is based on a single-camera setup for determining the 3D particle positions via defocused particle images, where the particle images change as function of the depth coordinate. To get a target particle position, the particle image is compared to a set of calibration images by use of the normalized cross-correlation. The out-of-plane coordinate for the target particle is...

Time dependent correlation functions in the Heisenberg XX0 chain in the external transverse magnetic field are calculated. For a finite chain normalized mean values of local spin products are represented as determinants of N × N matrices, N being the number of quasiparticles in the corresponding eigenstate of the Hamiltonian. In the thermodynamical limit (infinitely long chain), correlation fun...