Digital Filter Design


Classes

class  gr_firdes
 Finite Impulse Response (FIR) filter design functions. More...

Functions

std::vector< double > gr_remez (int order, const std::vector< double > &bands, const std::vector< double > &ampl, const std::vector< double > &error_weight, const std::string filter_type="bandpass", int grid_density=16) throw (std::runtime_error)
 Parks-McClellan FIR filter design.

Detailed Description


Function Documentation

std::vector<double> gr_remez ( int  order,
const std::vector< double > &  bands,
const std::vector< double > &  ampl,
const std::vector< double > &  error_weight,
const std::string  filter_type = "bandpass",
int  grid_density = 16 
) throw (std::runtime_error)

Parks-McClellan FIR filter design.

Calculates the optimal (in the Chebyshev/minimax sense) FIR filter inpulse reponse given a set of band edges, the desired reponse on those bands, and the weight given to the error in those bands.

Parameters:
order filter order (number of taps in the returned filter - 1)
bands frequency at the band edges [ b1 e1 b2 e2 b3 e3 ...]
ampl desired amplitude at the band edges [ a(b1) a(e1) a(b2) a(e2) ...]
error_weight weighting applied to each band (usually 1)
filter_type one of "bandpass", "hilbert" or "differentiator"
grid_density determines how accurately the filter will be constructed. \ The minimum value is 16; higher values are slower to compute.
Frequency is in the range [0, 1], with 1 being the Nyquist frequency (Fs/2)

Returns:
vector of computed taps
Exceptions:
std::runtime_error if args are invalid or calculation fails to converge.


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