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Digital Signal Processing 101

From sampling to spectral analysis — build real DSP intuition through interactive visualizations and hands-on filter design.

12 Modules 0 of 12 labs published Beginner
DSP FFT Filters Spectral Analysis Audio
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Outcomes

What You'll Learn

Sampling Theory
Understand Nyquist, aliasing, quantization, and how analog becomes digital.
Fourier Analysis
Master DFT, FFT, windowing, and spectral leakage with interactive tools.
Filter Design
Design FIR and IIR filters for low-pass, high-pass, band-pass applications.
Spectral Analysis
Compute PSD, spectrograms, and analyze signals in time-frequency domain.
Signal Detection
Use correlation and matched filtering to detect signals buried in noise.
Real-time DSP
Build audio effects and understand DSP on embedded systems.
Curriculum

Course Modules

12 modules from sampling basics to real-world DSP applications.

1
What is DSP?
4 lessonsNo labs yet
Start Here
Signals All Around UsSlides
Analog vs Digital SignalsSlides
Why Process Signals Digitally?Slides
DSP Applications OverviewSlides
2
Sampling & Quantization
4 lessonsNo labs yet
Available
The Sampling TheoremSlides
AliasingSlides
Quantization & Bit DepthSlides
Reconstruction & DACSlides
3
Discrete-Time Signals & Systems
4 lessonsNo labs yet
Available
Common Discrete SignalsSlides
System PropertiesSlides
ConvolutionSlides
Impulse Response & LTI SystemsSlides
4
The Z-Transform
4 lessonsNo labs yet
Available
From Difference Equations to Z-TransformSlides
Region of ConvergenceSlides
Poles, Zeros & Frequency ResponseSlides
Inverse Z-Transform MethodsSlides
5
The Discrete Fourier Transform (DFT)
4 lessonsNo labs yet
Available
From Time Domain to Frequency DomainSlides
DFT Definition and InterpretationSlides
Frequency Resolution and WindowingSlides
Spectral Leakage in PracticeSlides
6
The Fast Fourier Transform (FFT)
4 lessonsNo labs yet
Available
Why DFT is SlowSlides
The Cooley-Tukey AlgorithmSlides
FFT in PracticeSlides
Real-Time Spectrum AnalysisSlides
7
FIR Filter Design
4 lessonsNo labs yet
Available
What is an FIR Filter?Slides
Windowed-Sinc MethodSlides
Filter TypesSlides
Linear Phase PropertySlides
8
IIR Filter Design
4 lessonsNo labs yet
Available
What is an IIR Filter?Slides
Butterworth, Chebyshev & EllipticSlides
Bilinear TransformSlides
FIR vs. IIRSlides
9
Spectral Analysis
4 lessonsNo labs yet
Available
Power Spectral DensitySlides
Periodogram & Welch's MethodSlides
SpectrogramSlides
Parametric Spectral EstimationSlides
10
Correlation & Detection
4 lessonsNo labs yet
Available
Auto-correlation & Cross-correlationSlides
Signal Detection in NoiseSlides
Matched FilteringSlides
ApplicationsSlides
11
Multirate Signal Processing
4 lessonsNo labs yet
Available
Decimation (Downsampling)Slides
Interpolation (Upsampling)Slides
Sample Rate ConversionSlides
Filter Banks and Polyphase StructuresSlides
12
Capstone & Real-World DSP
4 lessonsNo project yet
Available
DSP on Embedded SystemsSlides
Audio Effects PipelineSlides
DSP in CommunicationsSlides
Machine Learning Meets DSPSlides
Before You Start

Prerequisites

Ready to start DSP?

Begin with Module 1 and discover how digital signal processing shapes the world around you.

Start Module 1 →
Labs & Demos 9 interactive demos — 9 interactive demos