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A set of routines stored in read-only memory (ROM) that tests various system components such as RAM, the disk drives, and the keyboard, to see if they are properly connected and operating. If problems are found, these routines alert the user with a series of beeps or a message, often accompanied by a diagnostic numeric value. If the POST is successful, it passes control to the bootstrap loader. See also bootstrap loader. See definition for Point-to-Point Tunneling Protocol (PPTP).

6. The students in problem #4 above were normally distributed with a mean GPA of 3.4 and a standard deviation of 0.3. In order to qualify for the school honor society, a student must have a GPA in the top 5% of all GPAs. Accurate to two decimal places, what is the minimum GPA Norma must have in order to qualify for the honor society (a) (b) (c) (d) (e) 3.95 3.92 3.75 3.85 3.89

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Understand the role of models in the Model-View-Controller pattern Learn the benefits of the fat model, skinny controller approach Integrate the Doctrine Object Relational Mapping (ORM) toolkit with the Zend Framework Create models using the Doctrine model generator Use Doctrine models to retrieve records from a MySQL database Find out how to filter input with the Zend_Filter_Input component Tweak the application startup process with the Zend Framework bootstrapper

excitation gain factor, and then passed through the synthesis filter; a weighted error measure is produced for each. No explicit LT predictor is used in G.728. Instead, a relatively high-order (fiftieth-order) synthesis filter is used, which picks up some of the long-term structure of the speech signal. The synthesis filter is generated by backward-adaptive LPC analysis of the coded speech. The gain predictor generates a gain factor for each input vector; this predictor is based on a tenth-order LPC analysis of the gains of the previously selected code vectors. The 10-bit VQ code book is structured as a 7-bit shape code book and a 3-bit gain code book to reduce the complexity of the code book search operation. These two code book components are jointly optimized in the search procedure, which selects the gain-shape code vector combination to minimize the error measure. Once the optimal code vector has been selected, its index is transmitted. At the decoder, the code vector index is used to generate the gain-shape code vector, which is then scaled by the adaptive gain factor and passed through the synthesis filter to generate the coded speech. The gain predictor and synthesis filter are again generated by backward LPC analysis of the previous excitation gains and the previous coded speech signal. Finally, adaptive ST and LT postfilters are applied to the coded speech vector. The ST postfilter emphasizes the formant structure of the speech, working in a similar (but opposite) fashion to the perceptual weighting filter to deemphasize the perceived noise in the spectral valleys. The LT postfilter emphasizes the pitch structure of the speech. The ST postfilter is formed during the synthesis filter adaptation; the LT postfilter, adapted using a pitch detector that operates on the coded speech in the decoder, is updated once per frame.107

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