Now showing items 21-30 of 85
Nonlinear Wavelet Transforms for Image Coding
We examine the central issues of invertibility, stability, artifacts, and frequency-domain characteristics in the construction of nonlinear analogs of the wavelet transform. The lifting framework for wavelet construction ...
An On-Line Signal-Dependent Time-Frequency Representation
Sparse Signal Detection from Incoherent Projections
The recently introduced theory of Compressed Sensing (CS) enables the reconstruction or approximation of sparse or compressible signals from a small set of incoherent projections; often the number of projections can be ...
Wavelet Soft-Thresholding of Time-Frequency Representations
The high noise sensitivity of the Wigner distribution makes smoothing a necessity for producing readable time-frequency images of noise corrupted signals. Since linear smoothing suppresses noise at the expense of considerable ...
Terahertz Reflection Imaging using Kirchhoff Migration
We describe a new imaging method that uses single-cycle pulses of terahertz (THz) radiation. This technique emulates data-collection and image-processing procedures developed for geophysical prospecting and is made possible ...
TCP-Africa: An Adaptive and Fair Rapid Increase Rule for Scalable TCP
High capacity data transfers over the Internet routinely fail to meet end-to-end performance expectations. The default transport control protocol for best effort data traffic is currently TCP, which does not scale well to ...
Terahertz Multistatic Reflection Imaging
We describe a new imaging method using single-cycle pulses of terahertz (THz) radiation. This technique emulates the data collection and image processing procedures developed for geophysical prospecting and is made possible ...
Spectroscopic Imaging using Terahertz Time-Domain Signals
Imaging systems based on terahertz time-domain spectroscopy offer a range of unique modalities due to the broad bandwidth, sub-picosecond duration, and phase-sensitive detection of the terahertz pulses. Furthermore, an ...
Wavelet Domain Filtering for Nuclear Medicine Imaging
The authors propose a new filtering/estimation method for nuclear medicine imaging. The statistical method of cross-validation is used to design optimal wavelet domain filters for improved image estimation. The quality of ...
Multiple wavelet basis image denoising using Besov ball projections
We propose a new image denoising algorithm that exploits an image's representation in multiple wavelet domains. Besov balls are convex sets of images whose Besov norms are bounded from above by their radii. Projecting an ...