Matrix detectors are widely used to measure beam distribution. This paper discuses real-time information processing, under the constraint of limited calculation resources
At the first sight the problem to determine the beam position from the ratio of the induced charges ...
Traditional signal processing architectures are usually de-signed to perform well in large sample si...
We develop equations describing the capability of arbitrary three-dimensional arrays to resolve and ...
In the processing of dynamically changing data, for example, radar data (RD), a crucial part is made...
A popular signal processing technique for beam position measurements uses the principle of amplitude...
The capabilities of classical, minimum energy, and linear predictive array processing algorithms to ...
An analyzer is described for operational monitoring of the power distribution provided by an IR lase...
Applications of random matrix theory to array processing estimation problems with low sample size: D...
The matrix-vector multiplier is an important building block in optical information processing archit...
The accurate reconstruction of the energy deposition of finite-divergence wide energy spectrum ion b...
Machine Learning (ML) techniques are widely used in science and industry to discover relevant inform...
Most beam measurements are based on the electro-magnetic interaction of fields induced by the beam w...
The matrix representational forms of linear systems commonly used in digital signal processing appli...
The last decade has seen major improvements in digital hardware, algortithms and software, which hav...
At first sight the problem of determining the beam position from the ratio of the induced charges of...
At the first sight the problem to determine the beam position from the ratio of the induced charges ...
Traditional signal processing architectures are usually de-signed to perform well in large sample si...
We develop equations describing the capability of arbitrary three-dimensional arrays to resolve and ...
In the processing of dynamically changing data, for example, radar data (RD), a crucial part is made...
A popular signal processing technique for beam position measurements uses the principle of amplitude...
The capabilities of classical, minimum energy, and linear predictive array processing algorithms to ...
An analyzer is described for operational monitoring of the power distribution provided by an IR lase...
Applications of random matrix theory to array processing estimation problems with low sample size: D...
The matrix-vector multiplier is an important building block in optical information processing archit...
The accurate reconstruction of the energy deposition of finite-divergence wide energy spectrum ion b...
Machine Learning (ML) techniques are widely used in science and industry to discover relevant inform...
Most beam measurements are based on the electro-magnetic interaction of fields induced by the beam w...
The matrix representational forms of linear systems commonly used in digital signal processing appli...
The last decade has seen major improvements in digital hardware, algortithms and software, which hav...
At first sight the problem of determining the beam position from the ratio of the induced charges of...
At the first sight the problem to determine the beam position from the ratio of the induced charges ...
Traditional signal processing architectures are usually de-signed to perform well in large sample si...
We develop equations describing the capability of arbitrary three-dimensional arrays to resolve and ...