Generation and validation of Gaussian noise using random sequence

Author

Pardhu, Thottempudi ; Nelakuditi, Usha Rani ; Pampana, Suresh

Author_Institution

Vignan Univ., Vadlamudi, India

fYear

2014

fDate

13-14 Feb. 2014

Firstpage

1

Lastpage

5

Abstract

In general many real time problems are represented with random variables. But a random variable is characterized by a Probability Density Function(PDF). As per the Central Limit Theorem any stochastic process handled with many random variables can be converged as a normal distribution. Hence normal distribution plays a key role in modeling real time problems contains many random variables. This paper dealt with the generation of Gaussian PDF using uniform random sequence. The generated PDF is validated in LABVIEW.

Keywords

Gaussian noise; normal distribution; random number generation; random sequences; Gaussian PDF; Gaussian noise generation; Gaussian noise validation; LABVIEW; central limit theorem; normal distribution; probability density function; random variable; stochastic process; uniform random sequence; Algorithm design and analysis; Field programmable gate arrays; Gaussian noise; MATLAB; Real-time systems; Very large scale integration; Gaussian noise; LABVIEW; PDF; Random Sequence;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Communication Systems (ICECS), 2014 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-2321-2

Type

conf

DOI

10.1109/ECS.2014.6892661

Filename

6892661