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Digital Signal Processing Interactive Lab

Objective

To develop an interactive platform that allows engineering students to perform digital signal processing experiments online, including signal generation, filtering, and transformation, with real-time visualization of signals and frequency-domain analysis.

Key Features

Student Panel:

  • Generate and visualize discrete-time signals (sine, square, triangular, sawtooth)

  • Apply DSP techniques such as convolution, correlation, FFT, IFFT, and filtering

  • Visualize time-domain and frequency-domain representations in real-time

  • Adjust signal parameters (amplitude, frequency, phase) dynamically

  • Save experiments and export plots for reports

Teacher Panel:

  • Create or upload DSP experiments for students

  • Assign tasks and monitor student activity and results

  • Provide feedback and guidance on signal analysis

  • Upload reference signals and expected outputs for comparison

Admin Panel:

  • Manage users (students & teachers)

  • Monitor system performance and active sessions

  • Add new DSP modules, signal types, or filters

  • View analytics on usage patterns and student engagement

Tech Stack

Layer Technologies
Frontend React.js / Angular / Vue.js, D3.js / Plotly.js (for graphs)
Backend Node.js + Express / Django / Python Flask
DSP Engine Python (NumPy, SciPy, Matplotlib) / MATLAB Engine API / JavaScript DSP libraries
Database MongoDB / PostgreSQL / Firebase
Authentication JWT / OAuth 2.0
Hosting AWS / Heroku / Vercel / Firebase

 

Workflow (Step-by-Step)

1. User Registration & Login

  • Students and teachers register/login securely

  • Access DSP lab dashboard with available experiments

2. Experiment Selection

  • Select experiment type: signal generation, filtering, convolution, FFT, etc.

  • Adjust input parameters: amplitude, frequency, phase, sampling rate

3. Real-Time Signal Processing

  • Generate signals and apply DSP techniques

  • Observe real-time visualizations in time-domain and frequency-domain

  • Apply filters and transformations dynamically

4. Data Collection & Reporting

  • Save simulation results and visualizations

  • Export plots and data for reports or submission

  • Teachers review student experiments and provide feedback

5. Analytics & Progress Tracking

  • Track student engagement and completed experiments

  • Generate reports for instructors on accuracy and parameter variations

  • Identify common mistakes or learning gaps

This Course Fee:

₹ 2499 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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