Now showing items 61-70 of 85
Joint Distributions of Arbitrary Variables Made Easy
The successful application of joint time-frequency distributions to problems in time-varying spectral analysis has stimulated considerable interest in distributions of other variables for use when a strict time-frequency ...
Throughput Maximization for ARQ-like Systems in Fading Channels with Coding and Queuing Delay Constraints
Practical delay-limited communication systems often employ retransmission algorithms such as ARQ to ensure reliable communications in fading channels. Maximizing the communications throughput in such systems can cause ...
Orthogonal Hilbert Transform Filter Banks and Wavelets
Complex wavelet transforms offer the opportunity to perform directional and coherent processing based on the local magnitude and phase of signals and images. Although denoising, segmentation, and image enhancement are ...
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 ...
Hidden Markov Models for Wavelet-based Signal Processing
Current wavelet-based statistical signal and image processing techniques such as shrinkage and filtering treat the wavelet coefficients as though they were statistically independent. This assumption is unrealistic; considering ...
Wavelet Statistical Models and Besov Spaces
Multiscale Connection-Level Analysis of Network Traffic
Network traffic exhibits drastically different statistics, ranging from nearly Gaussian marginals and long range dependence at very large time scales to highly non-Gaussian marginals and multifractal scaling on small scales. ...
Nonparametric, Low Bias, and Low Variance Time-Frequency Analysis of Myoelectric Signals
The authors apply Thomson's multiple window method (see D. Thomson â Spectrum Estimation and Harmonic Analysisâ , Proc. of the IEEE, vol. 70, no. 9, p. 1055-96) to myoelectric signal time-frequency analysis for the first ...