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Two types of personal sampling system?
Inactive and passive
Explane the method of selecting the value of sampling time for a continuous model?
The selection of sampling time for a continuous model involves determining a balance between accuracy and computational efficiency. It is often based on the Nyquist theorem, which states that the sampling frequency should be at least twice the highest frequency present in the signal to avoid aliasing. Additionally, factors such as the dynamics of the system, the desired precision, and the computational resources available are considered. A common approach is to start with a trial-and-error method or use heuristics to establish an initial sampling time, which can then be refined based on system performance during simulations or tests.
What are the uses of sampling?
(1) A sample may save money (as compared with the cost of a complete census) when absolute precision is not necessary. (2) A sample saves time, when data are desired more quickly than would be possible with a complete census. (3) A sample may make it possible to concentrate attention on individual cases. (4) In industrial uses, some tests are destructive (for example, testing the length of time an electric bulb will last) and can only be performed on a sample of items. (5) Some populations can be considered as infinite, and can, therefore, only be sampled. A simple example is an agricultural experiment for testing fertilizers. In one sense, a census can be considered as a sample at one instant of time of an underlying causal system which has random features in it. (6) Where non-sampling errors are necessarily large, a sample may give better results than a complete census because non-sampling errors are easier to control in smaller-scale operations
What measures how quickly a system performs a certain process or transaction?
The measure that indicates how quickly a system performs a certain process or transaction is known as "throughput." Throughput quantifies the number of transactions or processes completed in a given time frame, often expressed as transactions per second (TPS) or similar metrics. Higher throughput indicates better performance and efficiency of the system in handling tasks.
What binomial system mean?
A binomial system is binomial nomenclature which is the formal system of naming specific species.
What is common sampling technique in communication system?
Random Sampling is the most common sampling technique
Two types of personal sampling system?
Inactive and passive
What Steps to take when selecting a suitable sampling frequency?
The Nyquist Theorem says that the sampling frequency should be twice the bandwidth to avoid aliasing. Thus if the bandwidth of the system is bw then the sampling frequency f=2*bw.
Different types of random and non random sampling?
stratified sampling, in which the population is divided into classes, and random samples are taken from each class;cluster sampling, in which a unit of the sample is a group such as a household; andsystematic sampling, which refers to samples chosen by any system other than random selection.
What is the effect of under sampling in signals and system?
Bad frequency aliasing. See Nyquist criteria.
What are the advantages and disadvantages of systematic sampling in statistics?
Hi, 1.The main advantage of Systematic sampling over simple random sampling is its simplicity. It allows the researchers to add a degree of system or process into the random selection of subjects. 2.Another advantage of systematic random sampling over simple random sampling is the assurance that the population will be evenly sampled. Disadvantage The process of selection can interact with a hidden periodic trait within the population.
What are multirate systems?
Digital transformation of the sampling rate of signals, or signal processing with different sampling rates in the system.
What is the procedure of convenience sampling?
Convenience sampling is also know as grab sampling. There is no procedure for the sampling itself because the emphasis at this stage is usually on improving other aspects of the research such as exposing flaws in a survey form or training personnel. In grab sampling you simply take any sample element that you can find although you might favour those that would exercise parts of your system that might seem weak. For instance, if your survey instrument asks for ages and some people were reluctant to provide them, then how would this be resolved once the grab sampling phase had been completed and actual sampling had started?
Why is the solar system natural?
The Solar system is natural, therefore it is nature.
Is the solar system natural or man-made?
The solar system is natural.
Is insurance a better system than suing?
Not all events can use the court system, so insurance is needed. When a home is destroyed by a natural event God can’t be sued.
What is sampling which is related to information system?
Sampling in information systems refers to the process of selecting a subset of data or transactions from a larger dataset for analysis or testing. It allows organizations to efficiently analyze information without having to process entire datasets, which can be time-consuming and resource-intensive. Sampling helps in making inferences about the larger dataset based on the characteristics of the sampled data.
