Examples of 'orthonormal' in a sentence
Meaning of "orthonormal"
orthonormal (adjective) - A mathematical term used to describe a set of vectors that are both orthogonal (perpendicular) and normalized (have a length of 1), often used in linear algebra and signal processing
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- Of a set of vectors, both orthogonal and normalized.
- Of a linear transformation that preserves both angles and lengths.
How to use "orthonormal" in a sentence
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orthonormal
This is an orthonormal system but it is not complete.
But what about other orthonormal bases.
Every orthonormal list of vectors is linearly independent.
These are our new orthonormal basis vectors.
Orthonormal sets are not especially significant on their own.
But we do not have an orthonormal basis yet.
H is uniquely constrained by the basis being positive and orthonormal.
So let us see if being orthonormal in any way simplifies this.
This basis is not necessarily orthonormal.
Bandelets are an orthonormal basis that is adapted to geometric boundaries.
It will just generate another orthonormal basis.
We have the orthonormal basis consisting of the vectors.
This means that is an orthonormal set.
An orthonormal set which forms a basis is called an orthonormal basis.
And so this would be an orthonormal basis.
See also
Orthonormal and unitary matrices may be formed as described below.
The spatial components are thus orthonormal.
This is an orthonormal basis.
The result does not depend on the choice of orthonormal basis.
Forms an orthonormal set.
Orthonormal columns or rows.
Let us find an orthonormal basis.
Find an orthonormal basis for the solution space of a homogeneous system.
Then we have an orthonormal basis.
An orthogonal matrix is a matrix whose column vectors form an orthonormal set.
Weak convergence of orthonormal sequences.
This is just a fancy way of saying that the coframe is orthonormal.
Orthogonal and orthonormal basis.
The density operator is defined with respect to a complete orthonormal basis.
This obtains a preferably orthonormal geometrical frame of reference that is complete.
Let us see if there are other useful reasons to have an orthonormal basis.
Orthonormal basis is formed on the basis of the information provided in the signal.
This is called an orthonormal set.
An orthonormal base for each component which is of zero mean can be used.
Here the frames are required to be orthonormal with respect to the metric.
Is absolutely convergent and is independent of the choice of the orthonormal basis.
Just so you understand what an orthonormal basis looks like with real numbers.
These are binary square waves that form a complete orthonormal set.
Performance for all hypotheses of each orthonormal matrix may be evaluated as described above.
Various orthonormal and unitary matrices may be used to form the virtual antennas.
The only possible measurement is between any two orthogonal states an orthonormal basis.
Using the orthonormal vector base for filtering and describing the geophysical events.
These kind of models have their indentification cost reduced by using orthonormal functions.
Let the number of orthonormal vectors be Nbasis.
It should be noted that this sampling of the printing surface is not necessarily orthonormal.
POD orthonormal basis are used for the regularization of the problem.
It will be noted here that the three do not necessarily form an orthonormal trihedron.
Often the basis of functions are orthonormal eigenfunctions for some Hermitian operator.
Show that the right hand sum is independent of the particular orthonormal basis.
And it is an orthonormal basis for some subspace V.
