convolution.hpp

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// toolboxes/signal/include/nk/signal/convolution/convolution.hpp
#pragma once
 
#include <memory_resource>
#include <nk/value/value.hpp>
 
#include <string>
#include <tuple>
 
namespace nk::signal {

 

Value conv(const Value &                a,
           const Value &                b,
           const std::string &          shape = "full",
           std::pmr::memory_resource *  mr    = nullptr);

std::tuple<Value, Value>
deconv(const Value &                b,
       const Value &                a,
       std::pmr::memory_resource *  mr = nullptr);

std::tuple<Value, Value>
xcorr(const Value &                x,
      const Value &                y,
      std::pmr::memory_resource *  mr = nullptr);

inline std::tuple<Value, Value>
xcorr(const Value &x, std::pmr::memory_resource *mr = nullptr)
{
    return xcorr(x, x, mr);
}

std::tuple<Value, Value>
xcov(const Value &                x,
     const Value &                y,
     int                          maxlag,
     const std::string &          scaleopt,
     std::pmr::memory_resource *  mr = nullptr);

inline std::tuple<Value, Value>
xcov(const Value &x, const Value &y, std::pmr::memory_resource *mr = nullptr)
{
    return xcov(x, y, -1, std::string("none"), mr);
}

inline std::tuple<Value, Value>
xcov(const Value &x, std::pmr::memory_resource *mr = nullptr)
{
    return xcov(x, x, mr);
}

Value conv2(const Value &                A,
            const Value &                B,
            const std::string &          shape = "full",
            std::pmr::memory_resource *  mr    = nullptr);

Value filter2(const Value &                h,
              const Value &                X,
              const std::string &          shape = "same",
              std::pmr::memory_resource *  mr    = nullptr);

Value convn(const Value &                A,
            const Value &                B,
            const std::string &          shape = "full",
            std::pmr::memory_resource *  mr    = nullptr);
 

} // namespace nk::signal