A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of discrete time series. Noother wavelet package is necessary -- everything is contained in this archive. The C-code computes the DWT and maximal overlap DWT. MATLAB routines are then used to compute such quantities as the wavelet variance, covariance, correlation, cross-covariance and cross-correlation. Approximate confidence intervals are available for all quantities except the cross-covariance and cross-correlation.
A set of commands is provided. For a description of this example, please see http://www.eurandom.tue.nl/whitcher/software/.
This book, the Sun™ ONE Message Queue (MQ) 3.0.1 Administrator’s Guide,
provides the background and information needed to perform administration tasks
for an MQ messaging system.
This preface contains the following sections:
• Audience for This Guide
• Organization of This Guide
• Conventions
• Other Documentation Resources
The Linux kernel is one of the most interesting yet least understood open-source projects. It is also a basis for developing new kernel code. That is why Sams is excited to bring you the latest Linux kernel development information from a Novell insider in the second edition of Linux Kernel Development. This authoritative, practical guide will help you better understand the Linux kernel through updated coverage of all the major subsystems, new features associated with Linux 2.6 kernel and insider information on not-yet-released developments. You ll be able to take an in-depth look at Linux kernel from both a theoretical and an applied perspective as you cover a wide range of topics, including algorithms, system call interface, paging strategies and kernel synchronization. Get the top information right from the source in Linux Kernel Development.
The Viterbi algorithm is the same as the binary case with one main difference: The survivor sequences include the uncoded bits, which are decided at each trellis stage when selecting one of two parallel branches with the largest correlation metric.
Presently, only 8-PSK modulation is considered. Extensions to higher-order modulations can be implemented following a similar procedure.
A program to demonstrate the optimization process of particle swarm optimization. A two-dimensional objective function is visualized by level of grey: the lighter the color, the higher the function value. The particles are shown as red circles, their trajectory as red lines.
