Analysis of the Effects of Sampling Sampled Data
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Copyright © International Foundation for TelemeteringCollection Information
Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.Abstract
The traditional use of active RC-type filters as anti-aliasing filters in Pulse Code Modulation (PCM) systems is being replaced by the use of Digital Signal Processing (DSP) filters, especially when performance requirements are tight and when operation over a wide environmental temperature range is required. In order to keep systems more flexible, it is often desired to let the DSP filters run asynchronous to the PCM sample clock. This results in the PCM output signal being a sampling of the output of the DSP, which is itself a sampling of the input signal. In the analysis of the PCM data, the signal will have a periodic repeat of a previous sample, or a missing sample, depending on the relative sampling rates of the DSP and the PCM. This paper analyzes what effects can be expected in the analysis of the PCM data when these anomalies are present. Results are presented which allow the telemetry engineer to make an effective value judgment based on the type of filtering technology to be employed and on the desired system performance.Sponsors
International Foundation for TelemeteringISSN
0884-51230074-9079
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http://www.telemetry.org/Related items
Showing items related by title, author, creator and subject.
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What’s in your sample closet? A cross-sectional study to quantify the number of expired samples and to evaluate novelty and usefulness of sample closet medications(The University of Arizona., 2013-03)Background Many physicians dispense drug samples in their offices. In general, evidence suggests that drug samples provide minimal benefit to patients. Objective and Hypothesis To quantify the number of expired sample closet medications and to analyze the medications most commonly found for their novelty and usefulness. We hypothesized that the medications found in local sample closets will often be expired and will not be novel or useful. Methods We inventoried ten sample closets in primary care clinics. We quantified the number of expired medications and analyzed the 23 medications found in seven or more closets. To assess novelty, we determined if the sample medication: had a new mechanism of action, had a generic on market with same mechanism of action, and had a generic medication on market for the same indication. To assess usefulness, we determined if the sample medication had improved patient oriented outcomes, safety, and tolerability. We noted the cost of a one-month supply for the typical starting dose of each sample medication. Results Of the 12,581 drug packages and boxes we inventoried, 14% of were expired. Ninety-six percent (n=22) of sample closet medications had a generic medication on the market for the same indication and 74% (n=17) had a generic medication on the market with the same mechanism. Only 3 medications (13%) had evidence of superior patient oriented outcomes when compared to other medications for the same indication. Six medications (26%) demonstrated superior safety and tolerability. Only one medication (4%) was recommended as first line therapy in an evidence-based guideline. The mean cost for a one month supply of a typical starting dose was 178 dollars. Significance and Conclusions. Sample closet medications are often expired, have limited novelty and usefulness, and are expensive. The widespread use of sample medications should be re-examined.
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Sample size for inverse binomial sampling(The University of Arizona., 1969)
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Numerical and Binomial Sequential Sampling Plans for Adult Bemisia Tabaci in Cotton(College of Agriculture, University of Arizona (Tucson, AZ), 1994-03)Fixed-precision numerical and binomial sequential sampling plans are reported for adults of Bemisia tabaci (Strain B) on cotton. Both plans are based on whole leaf sample units from the fifth mainstem node (counted from the terminal). Numerical sampling plans allow for the efficient estimation of adult population density. Numerical sampling stop lines are presented relating the cumulative number of adults counted to the number of leaves examined for two levels of statistical precision. Binomial plans were developed to allow classification of adult population density for pest management decision -making application. These plans were devised for three action threshold levels; 5, 10 or 15 adults per leaf Binomial sampling stop lines are presented relating the cumulative number of infested leaves to the number of leaves examined as an aid for determining the need for population suppression.
