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Simply put, Indexing Service creates and maintains an index of your files and filerelated information, and enables you to search the index to quickly locate and retrieve the data you need. In the same way a book has an index revealing the location of various components, Indexing Service has information about the contents and location of certain types of files stored on your computer. The information collected by Indexing Service is used by the Windows XP Search feature, a Web browser, or a direct query of Indexing Service to locate files matching the description you provide. The individual indexes Indexing Service creates can be used in a variety of ways. For example, a Web site can be indexed (enable Indexing Service in IIS), allowing Web site clients to use the generated index to search the Web site. Indexing Service indexes a wide variety of file attributes. You can query Indexing Service based on any of these tracked parameters, such as finding all files created after a certain date that contain the text Microsoft Windows XP. Indexing Service also enables broad searches, such as finding all of the

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There is also tremendous value in integrating an idea mining system with a project management system or a task management system If your audience makes it clear that a certain idea is worth looking into, the next step could be to promote this informal idea to a more formal system, where experts can sketch out an initial list of tasks and needed resources For example, we should have a space colony on Mars is a good idea, and many people would vote in favor However, it would require the careful hand of a professional to determine what would be needed for the implementation After people understand the time, expenses, and lost opportunities involved with pursuing this idea, they might change their votes Taking this extra step towards documenting the trade-offs is essential if you wish to achieve the blend of top-down and bottom-up analysis essential to Enterprise 20.

energy, voice/unvoiced indication bit, and fundamental frequency (if the signal is voiced) LPC starts with the assumption that the speech signal is produced by a buzzer at the end of a tube The glottis (the space between the vocal cords) produces the buzz, which is characterized by its intensity (loudness) and frequency (pitch) The vocal tract (the throat and mouth) forms the tube, which is characterized by its resonances, which are the formants LPC analyzes the speech signal by estimating the formants, removing their effects from the speech signal, and estimating the intensity and frequency of the remaining buzz The process of removing the formants is called inverse filtering, and the remaining signal is called the residue The numbers that describe the formants and the residue can be stored or transmitted.

LPC synthesizes the speech signal by reversing the process: Use the residue to create a source signal, use the formants to create a filter (which represents the tube), and run the source through the filter, resulting in speech Because speech signals vary with time, this process is done on short sections of the speech signal, which are called frames26 The basic problem of the LPC system is determining the formants from the speech signal The basic solution is a difference equation, which expresses each sample of the signal as a linear combination of previous samples Such an equation is called a linear predictor, which is why this process is called linear predictive coding (LPC) The coefficients of the difference equation (the prediction coefficients) characterize the formants, so the LPC system needs to estimate these coefficients.

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The biggest problem with idea mining is not in the technology, but in the culture Should everybody use these systems, or just the ones with the best ideas Do the people who get the most votes really have the best ideas, or do they simply have the most free time Are all votes equal, or should some.

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