kaira.models.components.ProjectionType

Inheritance diagram for ProjectionType

class kaira.models.components.ProjectionType(value)

Bases: Enum

Enum for different types of projections.

Attributes

RADEMACHER	Random binary projection matrix with values {-1, 1}.
GAUSSIAN	Random projection matrix with values drawn from N(0, 1/out_features).
ORTHOGONAL	Random orthogonal matrix with columns that form an orthonormal basis.
COMPLEX_GAUSSIAN	Complex-valued projection with real and imaginary parts from N(0, 1/(2*out_features)).
COMPLEX_ORTHOGONAL	Complex-valued orthogonal projection with orthonormal columns.

Examples using kaira.models.components.ProjectionType

Complex Projections for Wireless Communications

Complex Projections for Wireless Communications

Projections and Cover Tests for Communication Systems

Projections and Cover Tests for Communication Systems

RADEMACHER = 'rademacher'

Random binary projection matrix with values {-1, 1}. Suitable for fast computation and memory-efficient implementations.

GAUSSIAN = 'gaussian'

Random projection matrix with values drawn from N(0, 1/out_features). Provides good theoretical guarantees for dimensionality reduction.

ORTHOGONAL = 'orthogonal'

Random orthogonal matrix with columns that form an orthonormal basis. Preserves angles and distances better than non-orthogonal projections.

COMPLEX_GAUSSIAN = 'complex_gaussian'

Complex-valued projection with real and imaginary parts from N(0, 1/(2*out_features)). Useful for complex signal processing and wireless communications.

COMPLEX_ORTHOGONAL = 'complex_orthogonal'

Complex-valued orthogonal projection with orthonormal columns. Provides optimal preservation of signal characteristics for complex data.