Visualizing Signals and Systems: Data Visualization for Communication and Signal Processing using Python and R

“Visualizing Signals and Systems” is a comprehensive, hands-on guide designed to bridge the gap between traditional signal processing concepts and modern data visualization techniques. Using the powerful tools of Python (Matplotlib, Seaborn) and R (ggplot2), this book helps students, educators, and professionals clearly interpret and present complex electronic and communication signals.
Focused on practical application, this guide demonstrates how to transform raw signal data into meaningful, customizable plots. From time-domain and frequency-domain analysis to real-time sensor data visualization, the book covers a wide spectrum of use cases relevant to communication systems, DSP, IoT, and embedded design.
Whether you’re working on a lab report, research publication, or final-year project, this book equips you with the skills to visualize and analyze signals effectively using modern coding environments.
Key Topics Covered:
Visualization of analog and digital signals including AM, FM, PWM, BPSK, and QPSK
Plotting impulse, step, and sinusoidal responses of linear time-invariant (LTI) systems
Real-world sensor and IoT data analysis
Frequency-domain plots such as FFTs and spectrograms
Visualization of communication simulation outputs
Comparison of visualization tools in Python and R
Signal interpretation for research, labs, and classroom use
Technologies and Tools Used:
Python: Matplotlib, Seaborn, Plotly, NumPy, SciPy
R: ggplot2, tidyverse, dplyr
Sample data from DSP labs, simulation outputs, and sensor logs
Code templates tailored for academic publishing and project documentation
Who Should Read This Book:
Undergraduate and postgraduate students in Electronics and Communication Engineering, Data Science, and related fields
Faculty and lab instructors seeking visualization-based teaching aids
Researchers and thesis writers preparing graphs for IEEE papers or patents
Professionals working in IoT, embedded systems, and VLSI-based AI solutions
From theory to visualization—this book transforms your understanding of signals and systems through real-world coding and data interpretation.
A valuable resource for anyone aiming to communicate technical insights through effective visual storytelling.