Interactive visualization tool for additive scrambler and descrambler with step-by-step binary sequence processing using shift registers and XOR operations
π Live Demo: View on GitHub Pages
- Overview
- What is an Additive Scrambler?
- Features
- Tech Stack
- Installation
- Usage
- Project Structure
- Development
- FAQ
- Contributing
- License
- Author
Additive Scrambler Visualizer is an educational web application that provides an interactive, step-by-step visualization of how additive scramblers and descramblers process binary sequences. It demonstrates the internal workings of shift registers, XOR operations, and the scrambling/descrambling process in real-time.
Understanding additive scramblers can be challenging due to the abstract nature of binary operations and shift register mechanics. This tool bridges that gap by providing:
- Visual Learning: See exactly how each bit flows through the system
- Step-by-Step Processing: Understand each iteration with detailed diagrams
- Interactive Experience: Modify inputs and see results instantly
- Educational Value: Perfect for students learning digital signal processing
- Students studying digital signal processing, telecommunications, or computer engineering
- Educators teaching binary operations and scrambling algorithms
- Developers who need to understand or implement scrambling logic
- Anyone curious about how data scrambling works
An additive scrambler (also known as a linear feedback shift register scrambler) is a device used in telecommunications and data transmission to randomize binary data streams. Here's how it works:
- Shift Register: A series of storage elements (bits) that can shift their contents
- XOR Operations: Combines selected register bits using exclusive-OR logic
- Feedback Loop: The XOR result is fed back into the register while also being XORed with the input bit
- Output: The scrambled bit is the XOR of the input bit and the feedback
- Schema: A binary pattern defining which register positions are "tapped" for XOR
- Initial Register: The starting state of the shift register
- Input Stream: The binary sequence to be scrambled
Input Bit β XOR with Feedback β Output Bit (Scrambled)
β
Feedback to Register
β
Shift Register Updates
The descrambler uses the same structure but operates in reverse, recovering the original data from the scrambled stream.
- π¨ Interactive SVG Diagrams: Beautiful, color-coded visualizations of the scrambler/descrambler state
- π Step-by-Step Processing: View each iteration with detailed register states and XOR results
- π Real-time Visualization: See how bits flow through the system in real-time
- π Bilingual Support: English and Ukrainian language support
- π― Input Validation: Built-in validation with helpful error messages
- π± Responsive Design: Works on desktop and tablet devices (minimum width: 768px)
- π Multiple View Modes: View all iterations at once or navigate one by one
- π Results Table: Comprehensive table view of all processing steps
- π Visual Indicators: Color-coded arrows and connections show data flow
- β‘ Performance Optimized: Memoized components and efficient rendering
| Category | Technology | Purpose |
|---|---|---|
| Frontend Framework | React 18.3.1 | Component-based UI |
| Language | TypeScript 5.6.3 | Type safety and better DX |
| UI Library | Chakra UI 2.10.3 | Modern, accessible components |
| Form Handling | React Hook Form 7.69.0 | Efficient form management |
| Validation | Zod 4.3.4 | TypeScript-first schema validation |
| Animations | Framer Motion 11.11.9 | Smooth transitions and animations |
| Build Tool | Vite 5.4.8 | Fast development and build |
| Styling | Emotion | CSS-in-JS for Chakra UI |
- React + TypeScript: Provides type safety and excellent developer experience
- Chakra UI: Beautiful, accessible components with great documentation
- React Hook Form + Zod: Declarative, performant form validation
- Vite: Lightning-fast development server and optimized builds
- Framer Motion: Smooth, professional animations without performance overhead
- Node.js 18.x or higher
- npm 9.x or higher (or yarn/pnpm)
-
Clone the repository
git clone https://github.com/Siris1B/Additive-Scrambler-Visualizer.git cd Additive-Scrambler-Visualizer -
Install dependencies
npm install
-
Start the development server
npm run dev
-
Open your browser
- Navigate to
http://localhost:5173(or the port shown in terminal) - The app should now be running!
- Navigate to
npm run buildThe built files will be in the dist/ directory.
npm run preview-
Enter Parameters
- Scheme: Binary string defining register taps (e.g.,
1011) - Initial Shift Register: Starting state of the register (e.g.,
1011) - Binary Input String: The data to scramble (e.g.,
11001100)
- Scheme: Binary string defining register taps (e.g.,
-
Click "Start Processing"
- The application will process each bit from right to left (LSB first)
-
View Results
- Initial Diagram: Shows the starting state (iteration 0)
- Iteration Diagrams: One diagram per input bit showing the processing steps
- Results Table: Click "Show Results Table" for a comprehensive view
The SVG diagram shows:
- Green Arrows: Input/output data flow
- Red Arrows: Scrambled data transmission
- Blue Connections: Register bits connected to XOR gates
- Blue Squares: Connected register positions (highlighted)
- XOR Gates: Circles with "+" symbol showing XOR operations
- Show All Iterations: View all diagrams at once (default)
- Show One Iteration: Navigate through iterations one by one
- Use Previous/Next buttons
- Jump to First/Last iteration
- Click on table rows to jump to specific iterations
Input:
- Schema:
1011 - Register:
1011 - Input:
1100
Result:
- Processed bit by bit from right to left
- Each iteration shows register state, XOR result, and output
- Accumulated scrambled and descrambled strings are displayed
Additive-Scrambler-Visualizer/
βββ public/ # Static assets
β βββ vite.svg
βββ src/
β βββ assets/ # Images and other assets
β βββ components/ # React components
β β βββ ScramblerDiagram/ # Diagram components
β β β βββ ScramblerDiagram.tsx
β β β βββ DataFlow.tsx
β β β βββ ShiftRegister.tsx
β β β βββ XorGate.tsx
β β β βββ Connection.tsx
β β β βββ IterationLabel.tsx
β β β βββ DiagramLegend.tsx
β β βββ ScramblerForm.tsx
β β βββ IterationList.tsx
β β βββ IterationNavigation.tsx
β β βββ ResultsTable.tsx
β β βββ Header.tsx
β β βββ ErrorBoundary.tsx
β β βββ MinWidthWarning.tsx
β βββ contexts/ # React contexts
β β βββ LanguageContext.tsx
β βββ hooks/ # Custom React hooks
β β βββ useMinWidthCheck.ts
β βββ locales/ # Translation files
β β βββ en.json
β β βββ uk.json
β βββ utils/ # Utility functions
β β βββ constants.ts
β β βββ types.ts
β β βββ validation.ts
β β βββ validationSchema.ts
β β βββ scrambler.ts
β βββ App.tsx # Main application component
β βββ main.jsx # Application entry point
βββ .gitignore
βββ index.html
βββ LICENSE
βββ package.json
βββ tsconfig.json
βββ vite.config.js
src/components/: All React components organized by featuresrc/utils/: Core business logic (scrambler algorithm, validation)src/locales/: Internationalization translationssrc/contexts/: React context providerssrc/hooks/: Reusable custom hooks
# Start development server
npm run dev
# Build for production
npm run build
# Preview production build
npm run preview
# Run linter
npm run lint
# Type checking (without compilation)
npm run typecheck- TypeScript: All new code should be in TypeScript with proper types
- Component Structure: Keep components small and focused
- Code Style: Follow existing patterns and use ESLint
- Testing: Write tests for utility functions (when tests are added)
- Components: Keep presentation logic separate from business logic
- Utils: Pure functions in
utils/, no side effects - Types: All TypeScript types/interfaces in
utils/types.ts - Constants: Magic numbers and configuration in
utils/constants.ts
The application requires a minimum width of 768 pixels. This ensures the SVG diagrams display correctly. On smaller screens, a warning message is shown.
The descrambler uses the same structure as the scrambler. It receives the scrambled bits, performs XOR with the feedback from its register, and outputs the descrambled bit. The register is shifted with the feedback value, allowing self-synchronization.
This follows the LSB (Least Significant Bit) first convention, which is common in many digital systems and standards.
Yes! As long as the schema and register have the same length, you can use any size. However, larger registers will create taller diagrams.
The current implementation demonstrates the scrambling/descrambling process. The descrambler uses the same initial register as the scrambler by default, but the architecture supports self-synchronization.
The form validation will prevent submission and show helpful error messages. Only binary strings (0 and 1) are accepted, and schema/register lengths must match.
Contributions are welcome! Here's how you can help:
- Fork the repository
- Create a feature branch
git checkout -b feature/amazing-feature
- Make your changes
- Follow the existing code style
- Add comments for complex logic
- Update documentation if needed
- Commit your changes
git commit -m 'Add some amazing feature' - Push to the branch
git push origin feature/amazing-feature
- Open a Pull Request
- Write clean, readable code
- Add JSDoc comments for functions/components
- Test your changes thoroughly
- Update README if adding new features
- Follow TypeScript best practices
- π Bug fixes
- π Documentation improvements
- π¨ UI/UX enhancements
- β‘ Performance optimizations
- π Additional language translations
- π§ͺ Test coverage
This project is licensed under the MIT License - see the LICENSE file for details.
Siris1B
- GitHub: @Siris1B
- Project: Additive Scrambler Visualizer
- Chakra UI team for the excellent component library
- React team for the amazing framework
- Vite team for the fast build tool
- Educational resources on digital signal processing that inspired this project
- Open source community for the amazing tools and libraries
- This is an educational tool designed to help understand additive scramblers
- For production use cases, ensure proper error handling and validation
- The visualization is optimized for educational clarity over absolute accuracy in all edge cases
β If you find this project helpful, consider giving it a star!



