Abstract: For use for example in communications or remote sensing, there is output a finite sequence of code values. A code value in said finite sequence of code values has a validity period specific to that code value. There are code values of different validity periods in said finite sequence of code values. Each of said validity periods is longer than or equal to a predetermined minimum baud length.

Abstract: A finite sequence of code values is formed, and can be used for example in communications or remote sensing. A code value in said finite sequence of code values has a validity period specific to that code value. There are code values of different validity periods in said finite sequence of code values. Each of said validity periods is longer than or equal to a predetermined minimum baud length.

Abstract: The invention provides a method and an arrangement for detecting moving point-targets within a large set of noisy measurements. The method is based on Bayesian model selection where the measurements containing targets are modeled with their physical trajectories and the non-target measurements are modeled with the statistical distribution of measurements containing no targets. An a posteriori probability density function is utilized together with a optimization algorithm specifically designed for this problem. Advantages of the invention involve a numerically efficient formulation of the a posteriori probability density, combined with the optimization algorithm. The main applications of the invention are in detecting moving targets within e.g., radar, sonar, lidar and telescopic measurements. The method is also applicable for multi-instrument data fusion.

Abstract: A method and apparatus are disclosed for performing tomographic reconstruction. An object to be examined is represented with a tomographic model that includes grid points. A set of measurement data represents attenuation experienced by radiation that propagated through parts of the object to be examined. Statistical inversion is applied to convert the set of measurement data into a calculated distribution of attenuation values associated with at least a number of the grid points. Applying statistical inversion includes associating values of a prior with the grid points, which prior includes at least one regularization parameter. The values of the prior for different grid points come from using different values of the regularization parameter. The method includes producing an image representation of the calculated distribution of attenuation values.

Abstract: The invention provides a method and an arrangement for detecting moving point-targets within a large set of noisy measurements. The method is based on Bayesian model selection where the measurements containing targets are modeled with their physical trajectories and the non-target measurements are modeled with the statistical distribution of measurements containing no targets. An a posteriori probability density function is utilized together with a optimization algorithm specifically designed for this problem. Advantages of the invention involve a numerically efficient formulation of the a posteriori probability density, combined with the optimization algorithm. The main applications of the invention are in detecting moving targets within e.g., radar, sonar, lidar and telescopic measurements. The method is also applicable for multi-instrument data fusion.

Abstract: For use for example in communications or remote sensing, there is output a finite sequence of code values. A code value in said finite sequence of code values has a validity period specific to that code value. There are code values of different validity periods in said finite sequence of code values. Each of said validity periods is longer than or equal to a predetermined minimum baud length.