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Wavelet Transform Signal Analyser Kit with Arduino Mega
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Wavelet Transform Signal Analyser Kit with Arduino Mega

SKU: CDN-KIT-2071-CL-SLD Brand: Compoden Category: Electronics > Data & Visualization > Project Kits
Rs. 2,280.00
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Analyse Signals in Real Time: Build a Discrete Wavelet Transform Scalogram with Arduino Mega

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Difficulty: Advanced Build Time: 6-8 hrs Age: 18-21 Skill: Digital Signal Processing

Capture the hidden structure of sound with a device that maps frequency changes over time. This kit lets you build a portable analyser that reads audio through a microphone, then uses the Arduino Mega’s processing power to run discrete wavelet transforms—a technique that outshines standard FFT when signals have abrupt changes or transient events. The result is a live scalogram on the TFT, visually separating frequency bands in a way that textbooks only describe.

What You'll Build

A standalone signal analyser that samples audio via the MAX9814 mic amp, processes the data through a custom DWT algorithm on the Arduino Mega, and renders a real-time time-frequency scalogram on the 2.4-inch ILI9341 display. The scalogram reveals how energy shifts across frequency bands millisecond by millisecond—ideal for studying speech patterns, vibration anomalies, or any non-stationary signal where an ordinary spectrogram falls short.

What You'll Learn

  • Implement discrete wavelet transform on an embedded microcontroller
  • Acquire and condition real-world audio signals with the MAX9814 amplifier
  • Drive an ILI9341 TFT display to render multi-colour scalograms from raw DSP output
  • Interpret time-frequency representations to identify transient signal features

Kit Contents

Component Quantity
Arduino Mega 2560 1
MAX9814 Mic Amp 1
2.4in TFT ILI9341 1
10kΩ Resistors 5
100nF Capacitors 10
PCB Prototype Board 2
9V Battery Snap 1
Soldering Iron 1
Solder Wire 1

Why Buy This Kit Instead of Sourcing Parts Separately

Factor Sourcing Separately Compoden Kit
Compatibility checks You verify every part Pre-tested as a system
Build support Forums and scattered tutorials AI companion trained on this exact project
Time to first working build Days of debugging Hours, with step-by-step guidance
Shipping coordination Multiple sellers, multiple delays One shipment from Bengaluru in 3-5 days

Who This Kit Is For

Built for engineering students tackling DSP lab assignments, final-year projects, or hackathon prototypes. Whether you’re a B.Tech ECE/EEE student at VIT or NIT wanting hands-on wavelet experience, a Smart India Hackathon team needing real-time frequency analysis, or an IIT researcher testing non-stationary signal algorithms, this kit bridges the gap between mathematical theory and working hardware.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.

What if I get stuck during the build?

The AI companion provides instant guidance for every step, and our team is available on WhatsApp for personalised help if you hit a snag.

Can I modify the DWT algorithm to use a different wavelet basis?

Yes—the AI companion explains the code structure and gives examples for swapping in Haar, Daubechies, or other wavelet families.

Is this only for audio signals, or can I analyse other inputs?

While the MAX9814 is optimised for sound (up to 20kHz), you can replace the sensor to capture vibration, bio-signals, or any low-frequency analogue input with minimal code tweaks.

Do I need prior DSP knowledge to complete this build?

Familiarity with Arduino programming and basic signal concepts helps, but the AI companion walks you through the wavelet theory and implementation, making advanced DSP accessible.

Arduino Mega implements discrete wavelet transform on ADC signal. TFT shows time-frequency scalogram.

What's in this kit

Choose your assembly option:

  • Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
  • Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.

Shipping Information

  • Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
  • COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
  • Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location

Returns & Warranty

  • 7-Day Return: Manufacturing defects only (approval required)
  • Warranty: 7 days from delivery
  • Non-Returnable: Batteries, consumables, cut wires, clearance items

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