Crate basic_dsp_matrix
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In this lib a matrix is simply a collection of vectors. The idea is that the matrix types can be used to reduce the size of a large matrix and that the return types are basic enough so that other specialized matrix libs can do the rest of the work, e.g. inverting the resulting matrix.
Structs
A matrix which can hold exactly 2 vectors.
A matrix which can hold exactly 3 vectors.
A matrix which can hold exactly 4 vectors.
A matrix which can hold 1 to N vectors.
Traits
Retrieves the underlying storage from a matrix.
A trait for matrix types. In this lib a matrix is simply a collection of
vectors. The idea is that the matrix types can be used to reduce the size
of a large matrix and that the return types are basic enough
so that other specialized matrix libs can do the rest of the work, e.g.
inverting the resulting matrix.
Conversion from a generic data type into a dsp vector with complex data.
Conversion from a generic data type into a dsp vector with complex data.
Conversion from a generic data type into a dsp matrix which tracks
its meta information (domain and number space)
only at runtime. See
ToRealMatrix and
ToComplexMatrix for alternatives which track most of the meta data
with the type system and therefore avoid runtime errors.Conversion from a collection of vectors to a matrix.
Conversion from a generic data type into a dsp matrix with real data.
Conversion from a generic data type into a dsp matrix with real data.
Type Definitions
A matrix which can hold exactly 2 vectors of 32 bit floating point numbers in complex number space and frequency domain.
A matrix which can hold exactly 4 vectors of 32 bit floating point numbers in complex number space and frequency domain.
A matrix which can hold exactly 4 vectors of 32 bit floating point numbers in complex number space and frequency domain.
A matrix which can hold 1 to N vectors of 32 bit floating point numbers in complex number space and frequency domain.
A matrix which can hold exactly 2 vectors of 64 bit floating point numbers in complex number space and frequency domain.
A matrix which can hold exactly 4 vectors of 64 bit floating point numbers in complex number space and frequency domain.
A matrix which can hold exactly 4 vectors of 64 bit floating point numbers in complex number space and frequency domain.
A matrix which can hold 1 to N vectors of 64 bit floating point numbers in complex number space and frequency domain.
A matrix which can hold exactly 2 vectors of 32 bit floating point numbers in complex number space and time domain.
A matrix which can hold exactly 3 vectors of 32 bit floating point numbers in complex number space and time domain.
A matrix which can hold exactly 4 vectors of 32 bit floating point numbers in complex number space and time domain.
A matrix which can hold 1 to N vectors of 32 bit floating point numbers in complex number space and time domain.
A matrix which can hold exactly 2 vectors of 64 bit floating point numbers in complex number space and time domain.
A matrix which can hold exactly 3 vectors of 64 bit floating point numbers in complex number space and time domain.
A matrix which can hold exactly 4 vectors of 64 bit floating point numbers in complex number space and time domain.
A matrix which can hold 1 to N vectors of 64 bit floating point numbers in complex number space and time domain.
A matrix which can hold exactly 2 vectors of 32 bit floating point numbers in any number space or domain.
A matrix which can hold exactly 3 vectors of 32 bit floating point numbers in any number space or domain.
A matrix which can hold exactly 4 vectors of 32 bit floating point numbers in any number space or domain.
A matrix which can hold 1 to N vectors of 32 bit floating point numbers in any number space or domain.
A matrix which can hold exactly 2 vectors of 64 bit floating point numbers in any number space or domain.
A matrix which can hold exactly 3 vectors of 64 bit floating point numbers in any number space or domain.
A matrix which can hold exactly 4 vectors of 64 bit floating point numbers in any number space or domain.
A matrix which can hold 1 to N vectors of 64 bit floating point numbers in any number space or domain.
A matrix which can hold exactly 2 vectors of 32 bit floating point numbers in real number space and frequency domain.
A matrix which can hold exactly 3 vectors of 32 bit floating point numbers in real number space and frequency domain.
A matrix which can hold exactly 4 vectors of 32 bit floating point numbers in real number space and frequency domain.
A matrix which can hold 1 to N vectors of 32 bit floating point numbers in real number space and frequency domain.
A matrix which can hold exactly 2 vectors of 64 bit floating point numbers in real number space and frequency domain.
A matrix which can hold exactly 4 vectors of 64 bit floating point numbers in real number space and frequency domain.
A matrix which can hold exactly 4 vectors of 64 bit floating point numbers in real number space and frequency domain.
A matrix which can hold 1 to N vectors of 64 bit floating point numbers in real number space and frequency domain.
A matrix which can hold exactly 2 vectors of 32 bit floating point numbers in real number space and time domain.
A matrix which can hold exactly 3 vectors of 32 bit floating point numbers in real number space and time domain.
A matrix which can hold exactly 4 vectors of 32 bit floating point numbers in real number space and time domain.
A matrix which can hold 1 to N vectors of 32 bit floating point numbers in real number space and time domain.
A matrix which can hold exactly 2 vectors of 64 bit floating point numbers in real number space and time domain.
A matrix which can hold exactly 3 vectors of 64 bit floating point numbers in real number space and time domain.
A matrix which can hold exactly 4 vectors of 64 bit floating point numbers in real number space and time domain.
A matrix which can hold 1 to N vectors of 64 bit floating point numbers in real number space and time domain.