리프팅

1차원 및 2차원 리프팅, 국소 다항식 변환, 로랑 다항식

리프팅을 통해 특정 속성을 가진 완전 복원 필터 뱅크를 점진적으로 설계할 수 있습니다. 리프팅 정보 및 예제는 Lifting Method for Constructing Wavelets 항목을 참조하십시오.

함수

리프팅

`filters2lp`	Filters to Laurent polynomials (R2021b 이후)
`liftingScheme`	Create lifting scheme for lifting wavelet transform
`liftingStep`	Create elementary lifting step
`lwt`	1-D lifting wavelet transform
`ilwt`	Inverse 1-D lifting wavelet transform
`laurentMatrix`	Create Laurent matrix (R2021b 이후)
`laurentPolynomial`	Create Laurent polynomial (R2021b 이후)
`liftfilt`	Apply elementary lifting steps on filters (R2021b 이후)
`lwt2`	2-D Lifting wavelet transform (R2021b 이후)
`ilwt2`	Inverse 2-D lifting wavelet transform (R2021b 이후)
`lwtcoef`	Extract or reconstruct 1-D LWT wavelet coefficients and orthogonal projections
`lwtcoef2`	Extract 2-D LWT wavelet coefficients and orthogonal projections (R2021b 이후)
`wave2lp`	Laurent polynomials associated with wavelet (R2021b 이후)

국소 다항식 변환

`mlpt`	Multiscale local 1-D polynomial transform
`imlpt`	Inverse multiscale local 1-D polynomial transform
`mlptrecon`	Reconstruct signal using inverse multiscale local 1-D polynomial transform
`mlptdenoise`	Denoise signal using multiscale local 1-D polynomial transform

도움말 항목

Lifting
Use lifting to design wavelet filters while performing the discrete wavelet transform.
Lifting Method for Constructing Wavelets
Learn about constructing wavelets that do not depend on Fourier-based methods.
Smoothing Nonuniformly Sampled Data
This example shows to smooth and denoise nonuniformly sampled data using the multiscale local polynomial transform (MLPT).