Signals & Systems
Online Signals and Systems Tutor
Signals and systems is often the course where Electrical Engineering starts to feel abstract. Convolution, transforms and regions of convergence can seem like pure mathematics until you see what they say about real signals and real systems.
Sessions focus on that meaning — what convolution is doing, why the frequency domain is useful, what aliasing actually looks like — while still building the methods you need for problem sets and exams.
Topics
What we can help with
Common Signals & Systems topics students ask about, grouped the way most courses teach them.
Signals
- Continuous-time signals
- Discrete-time signals
- Signal transformations: shifting, scaling and reversal
- Even, odd and periodic signals
- Energy and power signals
- Unit impulse and unit step
Systems
- System properties: linearity, time invariance, causality, stability
- LTI systems
- Impulse response
- Convolution (continuous and discrete)
- Differential and difference equation representations
Transforms
- Fourier series
- Fourier transform
- Discrete-time Fourier transform
- Laplace transform
- Z-transform and region of convergence
Frequency domain and sampling
- Frequency response
- Filtering concepts
- Sampling theorem
- Aliasing and reconstruction
- System analysis
These are common examples. If your course covers related material — a specific transform property, modulation basics, discrete-time system design — send us the topic.
Signals & Systems
Making the abstract intuitive
The ideas that usually turn signals and systems from confusing to logical:
Convolution as a picture
Flip, shift, multiply, integrate — done graphically first, convolution becomes a process you can follow rather than an integral to memorise.
Why transforms help
Transforms turn convolution into multiplication and differential equations into algebra. Once that clicks, choosing the right transform becomes natural.
Regions of convergence
The ROC is what tells you whether a system is causal or stable — it is not an afterthought to the transform.
Sampling and aliasing
Seeing a sampled signal and its spectrum side by side makes the sampling theorem, aliasing and reconstruction concrete.
Who this tutoring is for
- Undergraduate students taking signals and systems, or linear systems, courses
- Graduate students revisiting transform methods before DSP, communications or control courses
- Students preparing for signals and systems exams or resits
- Students who can apply transform tables but want to understand what the results mean
- Students working on MATLAB assignments involving signals, spectra or filtering
How online sessions work
Live 1-to-1 sessions on Zoom or a similar platform, with screen sharing and a shared digital whiteboard. For Signals & Systems, sessions typically include:
- Key ideas sketched graphically before the mathematics is written down
- Transform properties worked through with examples rather than memorised
- Problems solved step by step, then similar problems attempted with guidance
- MATLAB used to plot signals, spectra and responses where it helps
- Links drawn to where the ideas lead next — DSP, control and communications
Software & tools
Relevant software and tools
MATLAB makes signals and spectra visible: plotting a convolution step by step, comparing a signal with its Fourier transform, or showing aliasing as the sampling rate drops.
Modelling & Simulation
MATLAB
Scripting, plotting and toolbox work for signals, control, DSP and power engineering coursework.
Related
Related Electrical Engineering subjects
Subjects that often go hand in hand with this one. We support many other areas too.
Related subjects
- Engineering Mathematics tutoring
- Control Systems tutoring
- DSP
- Communication Systems
Project mentoring
FAQ
Signals & Systems tutoring questions
I find convolution confusing. Can you help?
Yes. Convolution is one of the most common topics students ask about. Working through it graphically first, then mathematically, usually makes it much clearer.
Can you help with Fourier, Laplace and Z-transforms?
Yes — the transforms themselves, their properties, inverse transforms and regions of convergence, and how they are used to analyse systems.
Does signals and systems tutoring help with later DSP or control courses?
It does. DSP, control systems and communications all build directly on signals and systems, so a solid understanding here makes those courses much easier.
Can you help with MATLAB assignments for signals and systems?
Yes. Sessions can cover the MATLAB side — plotting, convolution, spectra, filtering — and how to interpret the results correctly.
When should I use the Fourier, Laplace or Z-transform?
Broadly, the Fourier transform describes the frequency content of signals and steady-state behaviour; the Laplace transform handles continuous-time systems including transients and stability; and the Z-transform does the same job for discrete-time systems. Sessions work through why each exists, how they relate to one another, and how to choose between them in a problem.
Signals & Systems tutoring
Get help with signals and systems
Tell us the topic you are stuck on and any deadline. Related areas such as DSP, communications or specific transform methods can be requested too.
Prefer email? contact@electricalengineeringtutors.com