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Ultra wideband (UWB) technology is designed for short-range, wireless personal area networks (WPANs). It is a short-range radio technology that will be used to transmit data between devices over distances of as much as 30 feet, and is defined as a radio technology that has a spectral operating range that occupies a bandwidth greater than 20 percent of the center frequency, or at least 500 MHz. A UWB device transmits billions of electromagnetic pulses across a broad range of frequencies that are collectively several GHz wide. The receiver translates the received pulses into data by listening for a recognizable pulse sequence sent by the transmitter. Like Wi-Fi, UWB systems use OFDM to operate over these extremely wide spectral components. The technology s combination of broad operating spectrum and lower power improves speed and reduces interference with other wireless systems. In the United States, the FCC has mandated that UWB radio transmissions be allowed to operate from 3.1 GHz up to 10.6 GHz, at limited transmit power. Consequently, UWB provides dramatic channel capacity at short range that limits interference. So what are the applications for UWB As we mentioned before, PANs are the primary intended application; imagine a home or small office network with the ability offer gigabits per second of bandwidth over distances that easily accommodate the entire office or home.



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It can be extremely sensitive to small changes in the data or in such parameters as the number of poles and the look-back period In addition, the price data must not only be de-trended or differenced, but also be passed through a low-pass filter for smoothing before the data can be handed to the maximum entropy algorithm; the algorithm does not work very well on noisy, raw data The problem with passing the data through a filter, prior to the maximum entropy cycle extraction, is that lag and phase shifts are induced Consequently, extrapolations of the cycles detected can be incorrect in terms of phase and timing unless additional analyses are employed DETECTING CYCLES USING FILTER BANKS For a long time, we have been seeking a method other than maximum entropy to detect and extract useful information about cycles.





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ZigBee, also known as IEEE 802.15.4, offers a cost-effective, standardsbased wireless solution that specifically supports low data rates, low power consumption, security, and reliability. The name derives from a

public class SilverlightFaultProcessor : IDispatchMessageInspector { #region IDispatchMessageInspector Members public object AfterReceiveRequest( ref System.ServiceModel.Channels.Message request, System.ServiceModel.IClientChannel channel, System.ServiceModel.InstanceContext instanceContext) { return (null); } public void BeforeSendReply( ref System.ServiceModel.Channels.Message reply, object correlationState) { if (reply.IsFault) { // If it's a fault, change the status code // to 200 so Silverlight can receive the // details of the fault HttpResponseMessageProperty responseProperty = new HttpResponseMessageProperty(); responseProperty.StatusCode = System.Net.HttpStatusCode.OK; reply.Properties[HttpResponseMessageProperty.Name] = responseProperty; } } #endregion } The custom IEndpointBehavior method also inherits from BehaviorExtensionElement so the behavior can be used in the configuration file. Methods from interfaces that do not have implementations are not shown here in the interest of space. public class SilverlightFaultBehavior : BehaviorExtensionElement, IEndpointBehavior, IServiceBehavior { public override Type BehaviorType { get { return (typeof(SilverlightFaultBehavior)); } } protected override object CreateBehavior() { return (new SilverlightFaultBehavior());

Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

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Besides avoiding some of the problems associated with maximum entropy, the use of a novel approach was also a goal: When dealing with the markets, techniques that are novel sometimes work better simply because they are different from methods used by other traders One such approach to detecting cycles uses banks of specially designed band-pass filters This is a method encountered in electronics engineering, where filter banks are often used for spectral analysis The use of a filter bank approach allows the bandwidth, and other filter characteristics, to be tailored, along with the overlap between successive filters in the bank This technique helps yield an effective, adaptive response to the markets A study we conducted using filter banks to explore market cycles produced profitable results (Katz and McCormick, May 1997).

biological principal known as the ZigBee Principle, seen in honeybee hives The colonial honeybee lives with a queen, a few male drones, and thousands of worker bees The survival of the colony depends on a process of continuous communication of vital information among all members of the hive The technique that honeybees use to communicate with each other is called the ZigBee Principle, which defines the zigzag dance pattern that the insects use to communicate critical information to each other IEEE 802154 was nicknamed ZigBee because it facilitates the ability of humans to emulate this survival behavior ZigBee is designed to support such applications as home and environmental controls including lighting, automatic meter reading, telemetry for smoke and carbon monoxide detectors, HVAC, heating, security, drapery and shade controls, set top boxes, and specialized applications such as medical sensing and monitoring.

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