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Moving averages are included in many technical analysis software packages and written about in many publications. So popular arc moving averages that in 1998, 5 of the 12 issues of Technical Analysis of Stocks and Commodities contained artcles about them. Newspapers often show a 50-day moving average on stock charts, and a 20.day moving average on commodities charts.

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.





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To help understand moving averages, it is first necessary to discuss time series, i.e., series of data points that are chronologically ordered. The daily closing prices for a commodity are one example: They form a string of data points or bars that follow one another in time. In a given series, a sample of consecutive data points may be referred to as a time window. If the data points (e.g., closing prices) in a given time window were added together, and the sum divided by the number of data points in the sample, an average would result. A moving average is when this averaging process is repeated over and over as the sampling period is advanced, one data point at a time, through the series. The averages themselves form a new time series, a set of values ordered by time. The new series is referred to as the moving average of the original or underlying time series (in this case, the moving average of the close). The type of moving average just described is known as a simple moving average, since the average was computed by simply summing the data points in the time window, giving each point equal weight, and then dividing by the number of data points summed.

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This chapter covered the foundations of Silverlight. Before we can explore in detail more advanced topics such as theming, animation, handling media, and data binding, it is important to understand how these core features support the rest of Silverlight. Any exploration of Silverlight starts with understanding XAML and its many features, such as dependency properties, markup extensions, and resources. This chapter also showed how a Silverlight application is structured and how routed events work in Silverlight. You are now prepared to learn more about Silverlight. The next chapter explores creating user interfaces by using the layout controls and other standard controls, some of which you have already briefly seen.

While PCM is perhaps the best-known, high-quality voice digitization process, it is by no means the only one. Advances in coding schemes and improvements in the overall quality of the telephone network have made it possible for encoding schemes to be developed that use far less bandwidth than traditional PCM. In this next section, we will consider some of these techniques.

Adaptive Differential Pulse Code Modulation (ADPCM)

PURPOSE OF A MOVING AVERAGE A moving average is used to reduce unwanted noise in a time series so that the underlying behavior, unmasked by interference, can be more clearly perceived; it serves as a data smoother As a smoothing agent, a moving average is a rudimentary low-passJ%er, ie, a filter that permits low frequency activity to pass through unimpeded while blocking higher frequency activity In the time domain, high frequency activity appears as rapid up-and-down jiggles, ie, noise, and low frequency activity appears as more gradual trends or undulations Ehlers (1989) discusses the relationship between moving averages and low-pass filters He provides equations and compares several formal low-pass filters with various moving averages for their usefulness Moving averages may be used to smooth any time series, not just prices.

Adaptive Differential Pulse Code Modulation (ADPCM) is a technique that allows toll-quality voice signals to be encoded at half-rate (32 Kbps) for transmission. ADPCM relies on the predictability that is inherent in human speech to reduce the amount of information required. The technique still relies on PCM encoding, but adds an additional step to carry out its task. The 64 Kbps PCM-encoded signal is fed into an ADPCM transcoder, which considers the prior behavior of the incoming stream to create a prediction of the behavior of the next sample. Here s where the magic happens: Instead of transmitting the actual value of the predicted sample, it encodes in four bits and transmits the difference between the actual and predicted samples. Since the difference from sample to sample is typically quite small, the results are generally

Table 17-1 summarizes the mandatory and optional components necessary to run any Silverlight application on the browser successfully.

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