GNU Radio 3.6.5 C++ API

Classes  
class  gr_firdes 
Finite Impulse Response (FIR) filter design functions. More...  
class  gr::filter::firdes 
Finite Impulse Response (FIR) filter design functions. More...  
Functions  
GR_CORE_API std::vector< double >  gr_remez (int order, const std::vector< double > &bands, const std::vector< double > &l, const std::vector< double > &error_weight, const std::string filter_type="bandpass", int grid_density=16) throw (std::runtime_error) 
ParksMcClellan FIR filter design.  
FILTER_API std::vector< double >  gr::filter::pm_remez (int order, const std::vector< double > &bands, const std::vector< double > &l, const std::vector< double > &error_weight, const std::string filter_type="bandpass", int grid_density=16) throw (std::runtime_error) 
ParksMcClellan FIR filter design using Remez algorithm. 
GR_CORE_API 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) 
ParksMcClellan 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.
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)
std::runtime_error  if args are invalid or calculation fails to converge. 
FILTER_API std::vector<double> gr::filter::pm_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) 
ParksMcClellan FIR filter design using Remez algorithm.
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.
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)
std::runtime_error  if args are invalid or calculation fails to converge. 