Signal Math.Correlate Method
Definition
Namespace: Numerics.NET
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 10.0.0
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 10.0.0
Overload List
Correlate<T>(Vector<T>, Vector<T>, ConvolutionMode)
Computes the cross-correlation of two real-valued vectors and returns the result.
public static Vector<T> Correlate<T>(
Vector<T> x,
Vector<T> y,
ConvolutionMode shape = ConvolutionMode.FullLength
)
Parameters
- x Vector<T>
- The first input signal vector.
- y Vector<T>
- The second input signal vector.
- shape ConvolutionMode (Optional)
- The output shape mode.
Type Parameters
- T
- The element type (double or float).
Return Value
Vector<T>A vector containing the correlation result.
Exceptions
| Argument | Thrown when x or y is null. |
Correlate<T>(Vector<Complex<T>>, Vector<Complex<T>>, ConvolutionMode)
Computes the cross-correlation of two complex-valued vectors and returns the result.
public static Vector<Complex<T>> Correlate<T>(
Vector<Complex<T>> x,
Vector<Complex<T>> y,
ConvolutionMode shape = ConvolutionMode.FullLength
)
Parameters
- x Vector<Complex<T>>
- The first input signal vector.
- y Vector<Complex<T>>
- The second input signal vector.
- shape ConvolutionMode (Optional)
- The output shape mode.
Type Parameters
- T
- The element type (double or float).
Return Value
Vector<Complex<T>>A vector containing the correlation result.
Exceptions
| Argument | Thrown when x or y is null. |
Correlate<T>(ReadOnlySpan<T>, ReadOnlySpan<T>, Span<T>, ConvolutionMode)
Computes the cross-correlation of two real signals.
public static void Correlate<T>(
ReadOnlySpan<T> x,
ReadOnlySpan<T> y,
Span<T> result,
ConvolutionMode shape = ConvolutionMode.FullLength
)
Parameters
- x ReadOnlySpan<T>
- The first input signal.
- y ReadOnlySpan<T>
- The second input signal.
- result Span<T>
- The output span to hold the correlation result.
- shape ConvolutionMode (Optional)
- The output shape mode.
Type Parameters
- T
- The element type (double or float).
Exceptions
| Argument | Thrown when the result span is too small for the requested output shape. |
Correlate<T>(ReadOnlySpan<Complex<T>>, ReadOnlySpan<Complex<T>>, Span<Complex<T>>, ConvolutionMode)
Computes the cross-correlation of two complex signals.
public static void Correlate<T>(
ReadOnlySpan<Complex<T>> x,
ReadOnlySpan<Complex<T>> y,
Span<Complex<T>> result,
ConvolutionMode shape = ConvolutionMode.FullLength
)
Parameters
- x ReadOnlySpan<Complex<T>>
- The first input signal.
- y ReadOnlySpan<Complex<T>>
- The second input signal.
- result Span<Complex<T>>
- The output span to hold the correlation result.
- shape ConvolutionMode (Optional)
- The output shape mode.
Type Parameters
- T
- The element type (double or float).
Exceptions
| Argument | Thrown when the result span is too small for the requested output shape. |
Correlate<T>(Vector<T>, Vector<T>, Vector<T>, ConvolutionMode)
Computes the cross-correlation of two real-valued vectors.
public static void Correlate<T>(
Vector<T> x,
Vector<T> y,
Vector<T> output,
ConvolutionMode shape = ConvolutionMode.FullLength
)
Parameters
- x Vector<T>
- The first input signal vector.
- y Vector<T>
- The second input signal vector.
- output Vector<T>
- The output vector to hold the correlation result.
- shape ConvolutionMode (Optional)
- The output shape mode.
Type Parameters
- T
- The element type (double or float).
Exceptions
| Argument | Thrown when x, y, or output is null. |
| Argument | Thrown when the output vector length does not match the expected size for the given shape. |
Correlate<T>(Vector<Complex<T>>, Vector<Complex<T>>, Vector<Complex<T>>, ConvolutionMode)
Computes the cross-correlation of two complex-valued vectors.
public static void Correlate<T>(
Vector<Complex<T>> x,
Vector<Complex<T>> y,
Vector<Complex<T>> output,
ConvolutionMode shape = ConvolutionMode.FullLength
)
Parameters
- x Vector<Complex<T>>
- The first input signal vector.
- y Vector<Complex<T>>
- The second input signal vector.
- output Vector<Complex<T>>
- The output vector to hold the correlation result.
- shape ConvolutionMode (Optional)
- The output shape mode.
Type Parameters
- T
- The element type (double or float).
Exceptions
| Argument | Thrown when x, y, or output is null. |
| Argument | Thrown when the output vector length does not match the expected size for the given shape. |
Correlate<T>(Int32, ReadOnlySpan<T>, Int32, Int32, ReadOnlySpan<T>, Int32, Int32, Span<T>, Int32, ConvolutionMode)
Computes the cross-correlation of two real signals.
public static void Correlate<T>(
int xLength,
ReadOnlySpan<T> x,
int xStride,
int yLength,
ReadOnlySpan<T> y,
int yStride,
int resultLength,
Span<T> result,
int resultStride,
ConvolutionMode shape = ConvolutionMode.FullLength
)
Parameters
- xLength Int32
- The number of elements in the first signal.
- x ReadOnlySpan<T>
- The first input signal.
- xStride Int32
- The stride between successive elements in x.
- yLength Int32
- The number of elements in the second signal.
- y ReadOnlySpan<T>
- The second input signal.
- yStride Int32
- The stride between successive elements in y.
- resultLength Int32
- The number of elements in the result.
- result Span<T>
- The output span to hold the correlation result.
- resultStride Int32
- The stride between successive elements in result.
- shape ConvolutionMode (Optional)
- The output shape mode.
Type Parameters
- T
- The element type (double or float).
Exceptions
| Argument | Thrown when the result span is too small for the requested output shape. |
Correlate<T>(Int32, ReadOnlySpan<Complex<T>>, Int32, Int32, ReadOnlySpan<Complex<T>>, Int32, Int32, Span<Complex<T>>, Int32, ConvolutionMode)
Computes the cross-correlation of two complex signals.
public static void Correlate<T>(
int xLength,
ReadOnlySpan<Complex<T>> x,
int xStride,
int yLength,
ReadOnlySpan<Complex<T>> y,
int yStride,
int resultLength,
Span<Complex<T>> result,
int resultStride,
ConvolutionMode shape = ConvolutionMode.FullLength
)
Parameters
- xLength Int32
- The number of elements in the first signal.
- x ReadOnlySpan<Complex<T>>
- The first input signal.
- xStride Int32
- The stride between successive elements in x.
- yLength Int32
- The number of elements in the second signal.
- y ReadOnlySpan<Complex<T>>
- The second input signal.
- yStride Int32
- The stride between successive elements in y.
- resultLength Int32
- The number of elements in the result.
- result Span<Complex<T>>
- The output span to hold the correlation result.
- resultStride Int32
- The stride between successive elements in result.
- shape ConvolutionMode (Optional)
- The output shape mode.
Type Parameters
- T
- The element type (double or float).
Exceptions
| Argument | Thrown when the result span is too small for the requested output shape. |