0
I would like to sample the signal Xa(t) =1+cos(10 *pi*t) using sampling frequency fs=8 Hz. How can I calculate this?
ANSWER:
Your signal has a frequency component of 5hz (from the equation: 2*pi*f*t = 10*pi*t, therefore f=5). The Nyquist rate for this signal (the minimum sampling rate required to reconstruct the signal) is then 10Hz, and even at that rate the amplitude of the sampled signal will be reduced unless you can somehow synchronize the sampling with the peaks/troughs of the cosine signal.
If you sample at 8Hz you will not be able to reconstruct the signal at all.
What else can I help you with?
What are the sampling procedure in research methodology?
Sampling procedures in research methodology refer to the techniques used to select individuals or units from a larger population to gather data. Common sampling methods include random sampling, where each member has an equal chance of being selected; stratified sampling, which involves dividing the population into subgroups and sampling from each; and convenience sampling, where participants are chosen based on availability. The choice of sampling procedure impacts the representativeness of the sample and, consequently, the validity of the research findings. Proper sampling is crucial for reducing bias and enhancing the reliability of the study.
Definition of sampling method in research methodology?
sampling is a process of getting information about a population by asking questions from a potion of people who belong with that population
What is the significance of sampling in research and what are the characteristics of a good sample?
Sampling is important as data collected is used to test the hypothesis. A good sample is a true representation of the general population. In addition, it should be flexible and focus on the research objectives.
What type of research methodology did Alfred Kinsey use for his study of sexuality?
random sampling and select
What is scientific sampling technique?
Scientific sampling technique refers to methods used to select a representative subset of individuals or items from a larger population for research purposes. This approach ensures that the sample accurately reflects the characteristics of the entire population, minimizing bias and enhancing the validity of the findings. Common techniques include random sampling, stratified sampling, and systematic sampling, each serving distinct purposes based on the research design. By employing these methods, researchers can draw reliable conclusions and make generalizations about the population from their sample.
why do you use sampling design in research studies?
To avoid mistakes and correct
What are some common sampling problems that researchers encounter in their studies?
Some common sampling problems that researchers encounter in their studies include selection bias, non-response bias, sampling error, and inadequate sample size. These issues can affect the validity and generalizability of research findings.
What the methods being used in conducting a research?
Some common methods used in conducting research include surveys, experiments, interviews, case studies, and observations. These methods allow researchers to collect data, analyze it, and draw conclusions based on the findings. Researchers often choose the method that best aligns with their research questions and objectives.
Sampling in operations research and management?
semi stratified sampling
What is sampling in research?
Sampling techniques in researching involves to types of sampling. The probability sampling and the non-probability sampling. Simple random is an example of probability sampling.
Why is random sampling so important for research?
sampling is very important for researcher
What are the sampling procedure in research methodology?
Sampling procedures in research methodology refer to the techniques used to select individuals or units from a larger population to gather data. Common sampling methods include random sampling, where each member has an equal chance of being selected; stratified sampling, which involves dividing the population into subgroups and sampling from each; and convenience sampling, where participants are chosen based on availability. The choice of sampling procedure impacts the representativeness of the sample and, consequently, the validity of the research findings. Proper sampling is crucial for reducing bias and enhancing the reliability of the study.
When a research problem is related to heterogenous population the most suitable sampling method is?
cluster sampling
What is stratified sampling under research methodology?
Stratified sampling is a sampling method in research where the population is divided into subgroups or strata based on certain characteristics. Samples are then selected from each stratum in proportion to the population, to ensure representation of all groups. This method helps to reduce sampling errors and improves the accuracy of the research findings.
What is meant by sampling technique in research?
Sampling technique in research refers to the method used to select a subset of individuals or units from a larger population to gather data and make inferences about that population. Various techniques, such as random sampling, stratified sampling, and convenience sampling, can influence the representativeness and reliability of the research findings. The choice of sampling technique affects the validity of the results and the generalizability of the conclusions drawn from the study. Proper sampling ensures that the selected sample accurately reflects the characteristics of the overall population.
Distinguish between restricted and unrestrictd sampling?
Restricted sampling involves selecting a subset of individuals based on specific criteria or characteristics, ensuring that certain conditions are met for the sample. In contrast, unrestricted sampling allows for a broader selection without any imposed limitations, making it more representative of the entire population. While restricted sampling can provide more targeted insights, unrestricted sampling typically enhances generalizability. Each method serves different research objectives, depending on the desired focus and scope of the study.
Who is the author of total enumeration sampling design?
Total Enumeration Sampling Design is a method used in research and typically doesn't have one specific author. It is a technique that involves studying and analyzing an entire population rather than a sample. It is commonly used in fields such as epidemiology and census studies.
