Signal analysis, reimagined for the modern learner.
Understand Signals Visually. Interactively. Intuitively.
Modeling & Signal Plotting
Visualize signals and systems, from waveforms to real-world circuits.
Define, transform, and visualize signals across both time and circuits.
Plot continuous and discrete-time signals like step, ramp, sine, and delta.
Apply time/amplitude transformations and make signals periodic.
Visualize convolution step-by-step.
Model RLC circuits and solve differential equations to find any variable you want.
All The Figures At The Tip Of Your Hand
This highly developed tool allows for many possibilities, below are a few of them
Initializing Python environment...
sin(t)
sinc(t)
delta(t)
sgn(t)
rect(t)
e(t) OR exp(t)
tri(t)
cos(t)
u(t)
r(t)
The All-In One Drawing Tool
Circuit & System Modeling
This section introduces core tools for analyzing electrical and control systems. Users can draw and assemble their own circuits & systems to automatically generate impulse responses. Through Fourier, Laplace, and Z Transforms, the system provides insight into time and frequency domain behavior with minimal manual calculation.
Ever Wondered If A System Is Invertable? Fear Not, SignalBot Is Here
Test System Properties
The AI (LLM) can be used to assess a system's characteristics by analyzing its equations, inputs, outputs, or difference/differential equations. The model can evaluate whether the system satisfies the six classical system properties listed below:
The system properties to be tested:
Linearity
➤ The system follows the rules of add and multiply (superposition works).
Time Invariance
➤ The system’s behavior doesn’t change over time.
Causality
➤ Output depends only on present or past inputs, not future ones.
Stability (BIBO)
➤ If the input is bounded (not too big), the output stays bounded.
Memory
➤ If output depends only on the current input, it’s memoryless. If it uses past/future inputs, it has memory.
Invertibility
➤ You can uniquely find the input by knowing the output.
How Are We To Learn Without Practice?
Test Bench & Practice Problems
Master Signals, Systems, and Circuits Through Hands-On Examples
Frequency Education Made Easier
Frequency Analysis & Spectral Tools
Visualize and Compare Signal Energy Across the Spectrum
This upcoming feature introduces powerful tools for frequency-domain analysis, including single-sided and double-sided spectral density plots. Users will be able to inspect how energy is distributed across frequency components, compare periodic and aperiodic signals, and observe spectral characteristics in both continuous and discrete domains. Whether you're analyzing harmonics, identifying bandwidth, or exploring signal behavior in real-world systems, these tools offer an intuitive, visual approach to understanding what lies beneath your signals.
Through Histroy We Shall Learn!
History About
The field of communications and signal systems has evolved from rudimentary methods of information exchange to highly sophisticated digital technologies. Its development has been driven by key advancements in mathematics, physics, and engineering, laying the groundwork for modern systems theory and information processing. This section outlines the major historical milestones that have shaped the principles and practices of signal analysis and communication.
Dirac-Delta Function
Paul Dirac, a pioneering theoretical physicist and co-founder of quantum mechanics, introduced the Dirac delta function as a mathematical tool to elegantly describe point charges and impulses in physical systems. Though not a true function in the classical sense, it became a cornerstone in physics and engineering for modeling idealized distributions. Dirac’s genius lay in formalizing this concept within quantum theory, paving the way for modern formulations of field and signal analysis.
Who Are We?
The Team
We are 2 undergrads studying Instrumentation & Control Engineering at Jubail Industrial College (JIC) which is under the leadership of the Royal Commission for Jubail and Yanbu.
The Founders
1- Faisal Musa Al-Zahrani (%65)
2- Khalid Ali Al-Hammami (%35)
Notable Mentions
Special Thanks to Saad M. Alqahtani for guiding and providing us the with idea that kickstarted the creation of this website.
Thanks To Osamah Bin Zayed for his contributions on the continues time convolutions + rect basics.
Thanks To Laura Faraci for providing the animations for the robot.
