ambgfun#
Ambiguity function
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template<typename XTensor, typename YTensor>
__MATX_INLINE__ auto matx::ambgfun(XTensor &x, YTensor &y, double fs, AMBGFunCutType_t cut, float cut_val = 0.0)# Cross-ambiguity function
Generates a cross-ambiguity magnitude function from inputs x and y. The ambiguity function generates a 2D delay vs doppler matrix of the cross ambiguity of x and y.
- Template Parameters:
XTensor – x vector type
YTensor – Y vector type
- Parameters:
x – First input signal
y – Second input signal
fs – Sampling frequency
cut – Type of cut. 2D is effectively no cut. Delay cut returns a cut with zero time delay. Doppler generates a cut with zero Doppler shift. Note that in both Delay and Doppler mode, the output matrix must be a 2D tensor where the first dimension is 1 to match the type of 2D mode.
cut_val – Value to perform the cut at
- Returns:
2D output matrix where rows are the Doppler (Hz) shift and columns are the delay in seconds.
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template<typename XTensor>
__MATX_INLINE__ auto matx::ambgfun(XTensor &x, double fs, AMBGFunCutType_t cut, float cut_val = 0.0)# Ambiguity function
Generates an ambiguity magnitude function from input signal x. The ambiguity function generates a 2D delay vs doppler matrix of the input signal.
- Template Parameters:
XTensor – x vector type
- Parameters:
x – First input signal
fs – Sampling frequency
cut – Type of cut. 2D is effectively no cut. Delay cut returns a cut with zero time delay. Doppler generates a cut with zero Doppler shift. Note that in both Delay and Doppler mode, the output matrix must be a 2D tensor where the first dimension is 1 to match the type of 2D mode.
cut_val – Value to perform the cut at
- Returns:
2D output matrix where rows are the Doppler (Hz) shift and columns are the delay in seconds.
Examples#
(amf_delay_v = ambgfun(xv, 1e3, AMBGFUN_CUT_TYPE_DELAY, 1.0)).run();
(amf_doppler_v = ambgfun(xv, 1e3, AMBGFUN_CUT_TYPE_DOPPLER, 1.0)).run();