A new approach toward increasing spatial resolution is required to overcome the limitations
of the sensors and optics manufacturing technology. One promising approach is to use …

Recent years have seen growing interest in the problem of super-resolution restoration of
video sequences. Whereas in the traditional single image restoration problem only a single …

In the technique known as gridding, the data samples are weighted for sampling density and
convolved with a finite kernel, then resampled on a grid preparatory to a fast Fourier …

Advances in Shannon's Sampling Theory provides an up-to-date discussion of sampling
theory, emphasizing the interaction between sampling theory and other branches of …

For certain medical applications resampling of data is required. In magnetic resonance
tomography (MRT) or computer tomography (CT), eg, data may be sampled on …

A sampling scheme that is based on multiple level-crossings is presented. This scheme
generates samples of the input signal that are nonuniformly spaced in time by recording the …

Extracting relevant features from signals is important for signal analysis such as
compression, noise removal, classification, or regression (prediction). Often, important …

Advanced Topics in Shannon Sampling and Interpolation Theory is the second volume of a
textbook on signal analysis solely devoted to the topic of sampling and restoration of …

High-quality variable-rate image compression is achieved by segmenting an image into
regions of different sizes, classifying each region into one of several perceptually distinct …

The availability of new optical and electronic components and the increasing demands on
measurement accuracy have led to a continuous development of the laser Doppler …