论文信息 - Image detection through bipolar correlation

Image detection through bipolar correlation

The purpose of this paper is to describe the bipolar reference concept. A bipolar reference is simply a reference that can take on a continuous range of both positive and negative numerical values. It will be shown that for map matching via the convolution operation, references that yield maximum signal-to-noise ratios, in general, will be bipolar references. Algorithms for generating bipolar references and digital simulation results are given.

Albert Arcese | E. W. Trombini | P. H. Mengert

[1] J. F. Barrett,et al. An expansion for some second-order probability distributions and its application to noise problems , 1955, IRE Trans. Inf. Theory.

[2] Leonard J. Porcello,et al. Optical data processing and filtering systems , 1960, IRE Trans. Inf. Theory.

[3] John L. Brown,et al. On a cross-correlation property for stationary random processes , 1957, IRE Trans. Inf. Theory.

[4] Albert H. Nuttall. Theory and application of the separable class of random processes , 1958 .

[5] Abraham H. Haddad,et al. On optimal and suboptimal nonlinear filters for discrete inputs , 1968, IEEE Trans. Inf. Theory.

[6] L. S. G. Kovasznay,et al. Image Processing , 1955, Proceedings of the IRE.

[7] J. Tukey,et al. An algorithm for the machine calculation of complex Fourier series , 1965 .

[8] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .

[9] Athanasios Papoulis,et al. Probability, Random Variables and Stochastic Processes , 1965 .

[10] A. B. Vander Lugt,et al. Signal detection by complex spatial filtering , 1964, IEEE Trans. Inf. Theory.