The foamy wavelets
curled up to her white feet, and coiled like serpents about her ankles.
Then a purely feminine touch was given to the hair that waved back from the face,--a touch that rescued little crests and wavelets
from bondage and set them free to take a new color in the sun.
A large extent of white wavelets
often to be seen on the coasts of Amboyna, and in these parts of the sea.
The river - with the sunlight flashing from its dancing wavelets
, gilding gold the grey-green beech- trunks, glinting through the dark, cool wood paths, chasing shadows o'er the shallows, flinging diamonds from the mill-wheels, throwing kisses to the lilies, wantoning with the weirs' white waters, silvering moss-grown walls and bridges, brightening every tiny townlet, making sweet each lane and meadow, lying tangled in the rushes, peeping, laughing, from each inlet, gleaming gay on many a far sail, making soft the air with glory - is a golden fairy stream.
The Jessie was blotted out, and a strange ominous sound arose as multitudinous wavelets
struck foaming on the beach.
With the wind in that quarter, only little wavelets
, not much bigger than I had seen upon a lake, beat upon the shore.
The tide flowed and ebbed; the sun rose and set; regularly each afternoon the brave west wind came romping in through the Golden Gate, darkening the water, cresting tiny wavelets
, making the sailboats fly.
The image denoising is represented using three techniques namely spatial domain, transform domain, and dictionary learning based on wavelet
to represent the image.
The image processing system includes image transformation, image enhancement, image restoration, color image processing, image coding, wavelet
transformation, image segmentation and image analysis.
analysis is a useful tool to interpret multiscale, non-stationary time-series data (27) and well suited for patterns of variability that change with time, such as transient cycles, allowing the identification of not only dominant periods but also their timing in the epidemiological data (28).
The topics include principles and practices of constructing wavelets
, the genesis of wavelet
transform types and applications, fractals and wavelets
in applied geophysics with some examples, applying wavelet
transforms to paleo-monsoon data from Speleothems, and Fourier and wavelet
implementations in the phase-field modeling of the evolution of solid-solid and solid-liquid boundaries.
Over the past 20 years, the wavelet
theory has become one of the emerging and fast-evolving mathematical and signal processing tools for its many distinct merits.