WaveletL

class WaveletL : public WaveDWT

    protected:

      wavereal icoeff(const int n, const int i, const wavereal x)

    public:

             WaveletL WaveletL(int m, int n, int ist, int brd = 1)
             WaveletL WaveletL(int n = 4, int ist = 0)
             WaveletL WaveletL(WaveletL&)
         virtual void ~WaveletL()
       static TClass* Class()
         virtual void decompose(int level, int layer)
          virtual int getMaxLevel()
      virtual TClass* IsA() const
         virtual void reconstruct(int level, int layer)
         virtual void ShowMembers(TMemberInspector& insp, char* parent)
         virtual void Streamer(TBuffer& b)

  Data Members
    private:

      wavereal* hp  pointer to array of predict coefficients.
      wavereal* hu  pointer to array of update coefficients.

Class Description

 WaveletL is class implementing lifting scheme
 with "Predict" and "Update" functions which use  (NP-1)-th
 order polynomial interpolation scheme. Corresponding wavelets
 are known to be "biortogonal".

 This constructor creates WaveletL object with 'm' points of data,
 'n' points in wavelet filter, 'ist': 0 - diadic wavelet tree transform,
 1 - binary tree wavelet transform.
 'brd' selects type of data array boundaries processing:
 0-padding by zeroes, 1-data cycling, 2-data mirroring, 3-extrapolation
 of data.

 Constructor where 'n' is the number of points in wavelet filter,
 'ist' selects type of transform: 0 - diadic tree transform,
 1 - binary tree transform.

 Dectructor.

 Function does one cycle of forward transformation.
 The level parameters is a current layer of transformation
 and after this function it should be incrementing by 1.
 The layer parameters indicating number of layer should be transformed.
 For ordinary linear transform it should be alway zero.
 Given parameters: level, layer - numbers of current level and layer for transform

 Function does one cycle of backward transformation.
 The level parameters is a needed layer of transformation
 and after this function it should be decrementing by 1.
 The layer parameters indicating number of layer should be transformed.
 For ordinary linear transform it should be alway zero.
 Given parameters: level, layer - numbers of current level and layer
 for transform

 Calculates maximal allowed level of decomposition which depends on number
 of data points and order of wavelet

Inline Functions

           wavereal icoeff(const int n, const int i, const wavereal x)
            TClass* Class()
            TClass* IsA() const
               void ShowMembers(TMemberInspector& insp, char* parent)
               void Streamer(TBuffer& b)
           WaveletL WaveletL(WaveletL&)