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exactly with the amplitudes delineated by the graphing process In fact, most of them fall between the values, as shown in the illustration It doesn t take much of an intuitive leap to see that several of the samples will be assigned the same digital value by the coder-decoder that performs this function, yet they are clearly not the same amplitude This inaccuracy in the measurement method results in a problem known as quantizing noise, and is inevitable when linear measurement systems, such as the one suggested by the drawing, are employed in coder-decoders (CODECs) Needless to say, design engineers recognized this problem rather quickly, and equally quickly came up with an adequate solution It is a fairly well-known fact among psycholinguists and speech therapists that the human ear is far more sensitive to discrete changes in amplitude at low-volume levels than it is at high-volume levels, a fact not missed by the network designers tasked with optimizing the performance of digital carrier systems intended for voice transport Instead of using a linear scale for digitally encoding the PAM samples, they designed and employed a nonlinear scale that is weighted with much more granularity at low volume levels that is, close to the zero line than at the higher amplitude levels In other words, the values are extremely close together near the x-axis and get farther and farther apart as they travel up and down the y-axis This nonlinear approach keeps the quantizing noise to a minimum at the low-amplitude levels where hearing sensitivity is the highest, and allows it to creep up at the higher amplitudes, where the human ear is less sensitive to its presence It turns out that this is not a problem, because the inherent shortcomings of the mechanical equipment (microphones, speakers, the circuit itself) introduce slight distortions at high-amplitude levels that hide the effect of the nonlinear quantizing scale This technique of compressing the values of the PAM samples to make them fit the nonlinear quantizing scale results in a bandwidth savings of more than 30 percent In fact, the actual process is called companding, because the sample is first compressed for transmission, then expanded for reception at the far end, hence the term The actual graph scale is divided into 255 distinct values above and below the zero line In North America and Japan, the encoding scheme is known as m-Law (Mu-Law); the rest of the world relies on a slightly different standard known as A-Law There are eight segments above the line and eight below (one of which is the shared zero point); each segment, in turn, is subdivided into 16 steps A bit of binary mathematics now allows us to convert the quantized amplitude samples into an eight-bit value for transmission For the sake of demonstration, let s consider a negative sample that falls into the.

The easiest thing to pull out of the EmployeeListViewModel is the code that adds the vacation bonus. You can deal with this several ways I prefer using a service approach. That is, rather than bake the bonus into a special employee class, you have a service you can call that deals with bonuses using a simple function call. This is distinct from the idea of a web service. Create a new folder named Services in the Silverlight client. In that folder, add a class named EmployeeVacationBonusService. Listing 16.10 shows the code for this class.

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public class EmployeeVacationBonusService { public static void AddVacationBonus(Employee employee) { int vacationBonus; DateTime dateOfHire = employee.HireDate; DateTime today = DateTime.Today; int yearsInService = today.Year - dateOfHire.Year; if (dateOfHire.AddYears(yearsInService) > today) yearsInService--; if (yearsInService < 5) vacationBonus = 10; else if (yearsInService < 10) vacationBonus = 20; else if (yearsInService < 20) vacationBonus = 30; else vacationBonus = 40; employee.VacationHours += vacationBonus; } }

Each skin file is just a text file that contains a definition for the control type, but with no ID. Thus, your Button.skin file for the Dark Blue theme might look like this:

thirteenth step in segment five The conversion would take on the following representation:

The vacation bonus algorithm has been beefed up. Rather than a blanket 10 hours, you use some of the data to reward those with the longest time at the company. You also implement the functionality using static methods here. Some developers prefer to use instance methods. Either way is fine as long as you understand why you re doing it and what flexibility you lose when going with static methods (such as the ability to mock), and you have some consistency to your decisions. There are also multiple ways you can model this class. For example, it could modify the class directly as shown here or it could return a bonus amount based on a set of

1 101 1101

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Where the initial 1 indicates a negative sample, 101 indicates the fifth segment, and 1101 indicates the thirteenth step in the segment We now have an eight-bit representation of an analog amplitude sample that can be transmitted across a digital network, then reconstructed with its many counterparts as an accurate representation of the original analog waveform at the receiving end This entire process is known as Pulse Code Modulation, or PCM, and the result of its efforts is often referred to as toll-quality voice

parameters such as current vacation hours, date of hire, some sort of level information, and so on. Taking in individual parameters like that, rather than passing in an Employee object, helps reinforce the SRP and decouple from the rest of the system because the class no longer needs to be changed if the Employee class changes. Listing 16.11 shows the final version of this service, taking individual parameters rather than the Employee object.

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