Research Article

, 02 Jan 2026 | 10.62346/ijcn_q1_v14_no1_26_05

Year : 2026 | Volume: 14 | Issue: 1 | Pages : 1-6

Analysis of Continuous-Time and Discrete-Time

R. Mahima¹ *,

Sanjai Kumar S² ,

Saravanan R³ ,

Suresh Krishna S⁴ ,

Syed Jameel U⁵

1Anna University Chennai, Faculty, Department of ECE, K. Ramakrishnan college of engineering, Tamil Nadu, IN
2Anna University Chennai, Students, Department of ECE, K. Ramakrishnan college of engineering, Tamil Nadu, IN
3Anna University Chennai, Students, Department of ECE, K. Ramakrishnan college of engineering, Tamil Nadu, IN
4Anna University Chennai, Students, Department of ECE, K. Ramakrishnan college of engineering, Tamil Nadu, IN
5Anna University Chennai, Students, Department of ECE, K. Ramakrishnan college of engineering, Tamil Nadu, IN

Continuous-time and discrete-time signals are the core concepts that underpin not only signal processing but also automation systems, biomedical instrumentation, and digital communications. Continuous signals, to be specific, are real-time physical quantities, while discrete signals are time-sampled numerical data that can be processed by computers and digital processors. MATLAB, being a high-level scientific computing environment, has almost every tool necessary to analyze, visualize, and experimentally confirm signal theory. The article elaborates on the behavior of continuous and discrete signals, their modeling, sampling, aliasing, reconstruction, spectral representation, etc., with the help of MATLAB. The experimental work covers a wide range of signal types in time and frequency domains, including sinusoidal signals, composite signals, exponential signals, unit-step signals, and impulse responses, as well as their transforms.

References

[1] V. Oppenheim, A. S. Willsky, and S. H. Nawab,Signals and Systems, 2nd ed., Prentice-Hall, 1996.

[2] J. G. Proakis and D. G. Manolakis, Digital Signal Processing: Principles, Algorithms and Applications, 4th ed., Pearson Education, 2007.

[3] A. V. Oppenheim and R. W. Schafer, Discrete- Time Signal Processing, 3rd ed., Pearson Education, 2013.

[4] S. Haykin and B. Van Veen, Signals and Systems, Wiley, 2005.

[5] S. K. Mitra, Digital Signal Processing: A Computer-Based Approach, 4th ed., McGraw-Hill, 2011.

[6] H. Nyquist, “Certain Topics in Telegraph Transmission Theory,” Transactions of the AIEE, vol. 47, pp. 617–644, 1928.

[7] C. E. Shannon, “Communication in the Presence of Noise,” IRE Proceedings, vol. 37, no. 1, pp. 10– 21, 1949.

[8] MathWorks Inc., MATLAB Documentation and Signal Processing Toolbox User Guide, 2024. (Available online: mathworks.com. Accessed: 2025)

Keywords: Continuous-Time signal, Discrete-Time signal, MATLAB, Sampling, Aliasing, Reconstruction, Fourier Transform, DSP, Signal Visualization.

Citation: R. Mahima*,R. Mahima ( 2026), Analysis of Continuous-Time and Discrete-Time . , 14(1): 1-6

Received: 10/12/2025; Accepted: 02/01/2026;
Published: 02/01/2026

Edited by:

Mr.ERES JOURNALS

Reviewed by:

*Correspondence: R. Mahima, mahima.ece@krce.ac.in

Excellent Research in Engineeringand Science Publications

Research Article

Analysis of Continuous-Time and Discrete-Time

References

Excellent Research in Engineering
and Science Publications