Session
Computer Science and Communication Engineering
Description
Understanding and analyzing the behavior of systems is essential for designing engineering solutions for efficient and reliable signals. Concise mathematical descriptions of linear time-invariant systems that provide powerful techniques for system modeling, prototyping, analysis, and simulation. This paper delves into the study of transform system function algebra, analytical representations of block diagrams for continuous-time signals through practical differentiators. Modeling algebra consists of blocks that represent different parts of a system and signaling lines that define the relationships between the blocks. Block diagrams are used in electronic fields such as feedback, communication and signal control theory. Realization of practical signal systems is functionalized with: integrators, differentiators, adders and algorithmic multipliers as basic elements used to build the block diagram. The realization of a continuous-time system means the representations of the verbal description in the innovative practices of the representations of the differential equations with the sampling theorem corresponding to the function of Laplace and Z-Transforms as a simulating connection of the signal. Graphical simulation for static and dynamic systems where the block diagram is represented by other product functions complicates the system over time since the signal inputs are not in step with the time space based on the model configuration and problem solving algorithms. The degree of convolution in this research shows that the signal is implied by the algebraic scaling operations of the properties of the Fourier transforms from which the operational simulation manipulations are performed using the MATLAB platform.
Keywords:
Block Diagram, mathematical modulation, signal, transformations, configuration.
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-550-95-6
Location
UBT Lipjan, Kosovo
Start Date
28-10-2023 8:00 AM
End Date
29-10-2023 6:00 PM
DOI
10.33107/ubt-ic.2023.297
Recommended Citation
Sofiu, Vehebi; Shala, Gresa; Kabashi, Faton; Shkurti, Lamir; and Selimaj, Mirlinda, "Creating a Block-Diagram System for Continuous and Discrete-Time Signals" (2023). UBT International Conference. 33.
https://knowledgecenter.ubt-uni.net/conference/IC/CS/33
Creating a Block-Diagram System for Continuous and Discrete-Time Signals
UBT Lipjan, Kosovo
Understanding and analyzing the behavior of systems is essential for designing engineering solutions for efficient and reliable signals. Concise mathematical descriptions of linear time-invariant systems that provide powerful techniques for system modeling, prototyping, analysis, and simulation. This paper delves into the study of transform system function algebra, analytical representations of block diagrams for continuous-time signals through practical differentiators. Modeling algebra consists of blocks that represent different parts of a system and signaling lines that define the relationships between the blocks. Block diagrams are used in electronic fields such as feedback, communication and signal control theory. Realization of practical signal systems is functionalized with: integrators, differentiators, adders and algorithmic multipliers as basic elements used to build the block diagram. The realization of a continuous-time system means the representations of the verbal description in the innovative practices of the representations of the differential equations with the sampling theorem corresponding to the function of Laplace and Z-Transforms as a simulating connection of the signal. Graphical simulation for static and dynamic systems where the block diagram is represented by other product functions complicates the system over time since the signal inputs are not in step with the time space based on the model configuration and problem solving algorithms. The degree of convolution in this research shows that the signal is implied by the algebraic scaling operations of the properties of the Fourier transforms from which the operational simulation manipulations are performed using the MATLAB platform.