subdict
Description
returns the submatrix Ar
= subdict(A
,rowIndices
,colIndices
)Ar
that corresponds to the rows and columns
specified by rowIndices
and colIndices
,
respectively.
Examples
Extract and Visualize Submatrix
Create a sensing dictionary. Set the type of the sensing dictionary to 'fourier'
and 'eye'
. The size of each basis type is 100-by-100.
A = sensingDictionary(Size=100,Type={'fourier','eye'})
A = sensingDictionary with properties: Type: {'fourier' 'eye'} Name: {'' ''} Level: [0 0] CustomDictionary: [] Size: [100 200]
Extract the entire submatrix that is associated with the 'eye'
basis type. Visualize the submatrix.
Bmat = subdict(A,1:100,101:200); imagesc(Bmat)
Extract a 25-by-50 submatrix associated with the 'fourier'
basis type. Visualize the real and imaginary parts of the submatrix.
Cmat = subdict(A,1:25,1:50); subplot(1,2,1) imagesc(real(Cmat)) title("Real Part") subplot(1,2,2) imagesc(imag(Cmat)) title("Imaginary Part")
Input Arguments
A
— Sensing dictionary
sensingDictionary
object
Sensing dictionary, specified as a sensingDictionary
object.
rowIndices
— Row indices
vector
Row indices to extract, specified as a vector.
Example: Ar = subdict(A,1:256,1:100)
returns the 256-by-100
submatrix that corresponds to the rows indexed by 1:256
and columns
indexed by [1:100]
.
Data Types: double
colIndices
— Column indices
vector
Column indices to extract, specified as a vector.
Example: Ar = subdict(A,1:128,[2 3 5 8 13])
returns the 128-by-5
submatrix that corresponds to the rows indexed by 1:128
and columns
indexed by [2 3 5 8 13]
.
Data Types: double
Output Arguments
Ar
— Submatrix
matrix
Submatrix extracted from the sensingDictionary
A
, returned as a matrix. The matrix Ar
is
M-by-N, where M equals the
length of rowIndices
, and N equals the length of
colIndices
.
Data Types: double
Version History
Introduced in R2022a
See Also
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