into smaller channels called subchannels. There are many types of multiplexing, for example, time division multiplexing, statistical multiplexing, and etc. The types that are used depends on what the media, transmission, and reception devices can handle. A multiplexer transmits at the end of a channel and demultiplexers are at the receiving end separating the combined signals and restores them to their original form. Multiplexing also comes in hand with networking to increase the data that is sent
that I had a genuine interest to applying mathematical and statistical theories to real-world concerns. Hey, even Twain the skeptic realized the importance of balancing the cargo on shallow, difficult-to-navigate riverboats so that the port and starboardsides were equally laden-he even advised the captains to part their hair down the middle so that the weight was perfectly distributed!
Dense wavelength division multiplexing (DWDM) is a technology that puts data from different sources together on an optical fiber, with each signal carried at the same time on its own separate light wavelength. Using DWDM, up to 80 (and theoretically more) separate wavelengths or channels of data can be multiplexed into a light stream transmitted on a single optical fiber. Each channel carries a time division multiplexed (TDM) signal. In a system with each channel carrying 2.5 Gbps (billion bits per
features such as closed subscriber group, self-organising networks, location services, enhancement cell ID and Multimedia Broadcast services this is a standard which pretty much became the norm. Technologies such as Orthogonal Frequency Division Multiplexing (OFDM) and Multiple-Input Multiple-Output(MIMO) which were instrumental in the evolution to the LTE-Advanced are also discussed. scalable multiple transmission bandwidths are supported by LTE including one for the packet-switching (PS) mode.
Statistical Investigation Introduction I have chosen to do this statistical coursework that uses data from 'Mayfield High School.' Although this is a fictitious school, the data is based on a real school. As the data has been collected for me, it is called secondary data. I believe that this coursework will allow me to illustrate my ability to handle data, use specific techniques and apply higher level statistical maths by being able to use a variety of methods in order to analyse
Statistical Investigation For my Maths GCSE's I am required to do two pieces of coursework one of which is a piece on statistics. The purpose of this project is to help me investigate a real life situation using statistics. In this case I have been given some quantitative data on the end of year maths test scores of children in year 8. What I am supposed to do is compare the data by making hypotheses to indicate if there is something comparable between the results. First I have decided
Statistical Investigation on Car Prices Data Collection: We are asked to find the relationship between prices of ‘51 registered’ cars and variables such as their current new price, mileage and weight by using the regression analysis. To collect full information of these registered cars, we can access to the websites like: http://www.exchangeandmart.co.ukHowever, in this easy, we use the data, which are provided with the assignment by our teachers. By the sources, 100 cars, which
Statistical Investigation Into Height and Weight of Students My hypotheses are as follows: ~ 1. Year 11 students are, on average, taller than year 9 students. 2. There is better correlation between height and weight in year 7 than there is in year 11. 3. The taller someone is the heavier they are. Below are the sampling methods that I have used in my coursework: Stratified Simple Random Stratified sampling can be defined as the process where the population is divided into
Statistical Investigation All graphs should be attached. An Investigation into the Relationships between the Heights and Weights of a Rangeof Studentsat Mayfield High Aim I aim to investigate the relationship between the heights and weights of a range of students from different demographics at "Mayfield High". Prediction I. I predict initially that the average male height will be greater than the average female height. That is due to biology stating that males are, on average
Statistical Investigation into Rollercoaster Data I am going to be completing a statistical investigation from some collected data. This will be obtained from a World Rollercoaster Database. The information that can be seen from the database about an individual rollercoaster is: which country designed it, when it opened, its height, its length, its max speed, the ride time, and the thrill factor out of 10. I am going to investigate whether the fastest rides are the most exciting. I would
or national origin. As a policy setting out to resolve the problems of discrimination, Affirmative Action is simply nothing more than a quota of reverse discrimination. Affirmative Action emphasizes prospective opportunity more towards statistical measures. It promotes the hiring and acceptance of less experienced jobs of the workforce and less able students. Sometimes the affirmative action policies forces employers and schools to choose the best workers and less privileged students
The first research article I read for this assignment was Congruence of Counselor Self-Disclosure and Perceived Effectiveness by Scott J. Nyman, and Timothy K. Daugherty. This journal article documents an empirical study conducted by Scott Nyman and Timothy Daugherty examining the effect of counselor self-disclosure on the relationship between counselor and client. Counselors and researchers differ in their opinions regarding the use of self-disclosure. Some consider it a means to establishing a
In a continuation of the Springdale Shopping District Survey, use of confidence intervals is introduced to improve upon the evaluation of the quality of the statistics derived from the survey of a sample population. There has historically been an assumption that the respondents represent a simple random sample of all potential respondents within the community and that the population is large enough that application of the finite population correction would not make an appreciable difference in the
sample data will be used to provide the appropriate descriptive statistics to summarize each of the three variables and determine outliers for both Gulf view Condominiums and No Gulf View Condominiums. Once this information is provided specific statistical results that would help a real estate agent understand the condominium market will be discussed. Then a 95% interval estimate for the population mean sales price and the population mean number of days to sell will be calculated with an interpretation
Data mining with agricultural soil databases is a relatively young research area. In agricultural field, the determination of soil category mainly depends on the atmospheric conditions and different soil characteristics. Classification as an essential data mining technique used to develop models describing different soil classes. Such analysis can present us with a complete understanding of various soil databases at large. In our study, we proposed a novel Neuro-fuzzy classification based technique
collection of quantitative data and various sampling methods as a way to help find intuitive ways to solve the problems they have, or to make what they better. There are several ways to collect meaningful data, using both descriptive and inferential statistical methods. For example, in a business setting descriptive statistics can show an increasing trend in profits, however if you look at the inferential statistics of customer satisfaction surveys we may see a decline. This would lead you to say, profits
Data Mining Assignment # 01 Aisha Akbar (BSCS 2011) Page 1 Q1: What are the challenges of data mining? Challenges Of Data Mining: 1. Handling of different types of data. 2. Efficiency and scalability of data mining algorithm. 3. Usefulness, certainly, and expressiveness of data mining results. 4. Expression of various kinds of data mining requests and result. 5. Interactive mining knowledge at multiple abstraction levels. 6. Mining information from different sources of data. 7. Protection of privacy
Japan's Purple Machine Codes and ciphers have played many crucial roles in the past 3000 years, protecting the secrets of caesars and laymen. In World War II numerous nations used cryptographic systems to conceal their secret intentions and plans from the spying eyes of enemies everywhere. Cryptanalysts, however, undeterred by the complexity of the crypto-systems, worked diligently, trying to find any sort of weakness that would allow a break into the cipher and expose the secrets contained within
based on estimates and opinions. The Delphi technique, a common form of qualitative forecasting, allows experts to create an effective forecast under conditions of extreme uncertainty. Time?s series forecasting, a quantitative technique, uses a statistical analysis of past sales in order to effectively predict future outcomes, but can be limited under conditions of uncertainty (Chase, 2003, p.364). Business forecasting can be used in a wide variety of contexts, and by a wide variety of businesses
involves carnivores preying on herbivores. Predation can have many possible effects on the interrelations of populations. To draw any correlations between the effects of these predator-prey interactions requires studies of a long duration, and statistical analysis of large data sets representative of the populations as a whole. Predation could limit the prey distribution and decrease abundance. Such limitation may be desirable in the case of pest species, or undesirable to some individuals as