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BER. The BER is the ratio of the number of bits in error to the total number of bits transmitted during a measurement period. Errored Seconds (ES). An errored second is any 1-s interval containing at least one error. Burst Errored Seconds. A burst errored second is any errored second containing at least 100 errors.

Punctured convolutional codes are convolutional codes obtained by puncturing of some of the outputs of the convolutional encoder. The puncturing rule selects the outputs that are eliminated and not transmitted to the channel. Puncturing increases the rate of a convolutional code, and is a useful design tool because it makes it easy to achieve convolutional codes with relatively high rates. This enhancement of code rate is desirable because low-rate codes are associated with a higher loss of bit rate, or a larger increase in transmission bandwidth, in comparison with uncoded transmission. This procedure is applied to a base or mother code whose code rate is always smaller than the desired code rate, so that for a given block of k message bits, only a selection of the total number n of coded bits that the base encoder produces are transmitted. This technique was rst introduced by Cain, Clark and Geist [30]. In general, the base code is a convolutional code of rate Rc = 1/2 which is used to construct punctured convolutional codes of rate (n 1)/n, with n 3. The main concept to keep in mind in the construction of a punctured convolutional code is that its trellis should maintain the same state and transition structure of the base code of rate Rc = 1/2; that is, in this case, a trellis that looks like that of the Figure 6.6, where there are two transitions emerging from and arriving at each state. This differentiates the trellis of a punctured convolutional code of rate (n 1)/n from that of a convolutional code of the same

extreme, Shyness, Joviality, and Self-Assurance all show average stability correlations of approximately 60; at the other extreme, Fatigue, Serenity, and Surprise have mean retest correlations below 50 In fact, the long-term (ie, 2- to 3-year) retest correlations of the most stable scales tend to be as high or higher than the short-term (ie, 2-month) correlations of the least stable scales These consistent differences suggest the intriguing possibility that certain types of affect are more stable and traitlike than others More fundamentally, they suggest that the notion of trait affect can be more meaningfully applied to some types of mood state (eg, energy, enthusiasm, con dence, and timidity) than to others (eg, sluggishness, calmness, surprise) We currently are conducting further stability analyses to investigate the merits of this idea.

h(Zi |X i 1 , Z i 1 , Xi )

Importing and exporting color palettes To import and export both RGB colors and gradients between Flash files, you use Flash Color Set files (CLR files). You can import and export RGB color palettes using Color Table files (ACT files) that can be used with Macromedia Fireworks and Adobe Photoshop. You can also import color palettes, but not gradients, from GIF files. You cannot import or export gradients from ACT files.

Another interesting aspect of these data is that although the temporal stability correlations are substantial in magnitude, they nevertheless tend to be lower than those obtained for other trait measures In this regard, 392 of the participants in the long-term stability sample also completed the Big Five Inventory (BFI; John, Donahue, & Kentle, 1991) at both assessments The BFI is a measure of the prominent ve-factor model of personality, which consists of the general dimensions of Neuroticism, Extroversion, Openness, Agreeableness, and Conscientiousness (John & Srivastava, 1999; Watson, Clark, & Harkness, 1994) The stability correlations for these broad traits tended to be signi cantly higher than those of the PANAS-X scales, ranging from 59 (Agreeableness, Neuroticism) to 71 (Extroversion), with a mean value of 64.

+ A[i]

The overall effect of groundwater discharge is therefore to provide a background level of stream ow, known as base ow, upon which surface runoff peaks are superimposed Base ow represents the natural drainage of aquifers In the absence of recharge, sustained base ow will result in a gradual lowering of heads in its source aquifer As the head declines, so will the hydraulic gradient from the aquifer to the stream (the bed elevation of which is usually xed) Given Darcy s Law, it is clear that as hydraulic gradient declines, so must the rate of base ow There is thus a natural tendency for the rate of base ow to decline over time, following a period of recharge The natural patterns of decrease in base ow rates are known as base ow recessions.