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In: Film and Music

Submitted By kristinport

Words 2113

Pages 9

Words 2113

Pages 9

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range

Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count

Spikes high concentration of data values in the range just below the spike

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...Impact of Path Loss and Delay Spread on Base Station Cooperation Konstantinos Manolakis, Stephan Jaeckel, Eva Salvador Marquez, Volker Jungnickel Fraunhofer Heinrich Hertz Institute Einsteinufer 37, D-10587, Berlin, Germany Konstantinos.Manolakis@hhi.fraunhofer.de Abstract—In this paper, we investigate the maximum inter-site distance (ISD) for performing joint signal processing between cooperative base stations. As a metric, we use the maximum excess delay measured at 95% point of the cumative power delay proﬁle from all base stations. For the distance-dependent channel parameters, we consider Greenstein’s statistical propagation model, which we extended for broadband transmissions. We extract all model parameters from 2.6 GHz multi-cell measurements in our ﬁeld trial and parametrize the model at a ﬁxed ISD. We also investigate the impact of antenna downtilt and ﬁnd that when a larger downtilt is used, the rms delay spread and 95% excess delay are smaller. However, there are critical 3D effects close to the sites not included in the model. Then we consider larger ISDs and indicate how the delay parameters grow. Based on Greensteins model, the short cyclic preﬁx in LTE is hardly violated for realistic ISD at 2.6 GHz. I. I NTRODUCTION Base station cooperation is envisioned as a promising technique for future mobile networks where the carrier frequency shall be fully reused. It reduces the mutual interference between adjacent radio cells and increases...

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