Feature Details

⚡ Ultra-Low Latency Audio Streaming

Technical Implementation

• AudioWorklet Player: Uses Web Audio API's AudioWorklet to reduce main thread jitter, achieving low-latency audio playback
• Interval Buffering: 16/32 frame configuration, balancing latency and stability
• PTT Debounce: 50ms debounce delay, prevents duplicate commands
• Buffer Clear Optimization: Immediately clears RX buffer on TX release
• Int16 Encoding: 50% bandwidth reduction vs Float32

Optimization Comparison

🔧 WDSP Professional Noise Reduction

Integrates Warren Pratt's Digital Signal Processing library, the high-performance DSP library from the OpenHPSDR project, widely used in Thetis, piHPSDR and other professional amateur radio software.

Core Features

Comparison with RNNoise

📱 Mobile Deep Optimization

Touch Optimization

• Large PTT Button: Bottom-center design, optimized for thumb operation area
• Touch Enhancement: 300ms anti-mistouch, long-press/short-press differentiation
• Haptic Feedback: PTT button vibration feedback (iOS/Android support)
• Safe Area Adaptation: Automatically adapts to notched screens and bottom indicators

PWA Support

• Add to Home Screen: Supports running as standalone application
• Offline Access: Service Worker caches critical resources
• Fast Launch: Optimized startup flow, instant app opening

Device Compatibility

📊 ATR-1000 Power Meter/Tuner Integration

Real-time Monitoring

• Power Display: 0-200W real-time forward power display
• SWR Monitoring: 1.0-9.99 real-time SWR display
• Relay Status: LC/CL network, inductance/capacitance values display
• Display Latency: <200ms real-time update

Smart ATU Learning

Protocol Details

Communication Protocol: WebSocket + JSON
Data Frame Format: FF CMD LEN DATA...
Response Example: ff050701031b1e000e01
  → SW=CL, IND=30(0.3uH), CAP=27(270pF)

🎙️ AI Voice Assistant

Speech Recognition (ASR)

• Whisper Local Model: OpenAI Whisper base model, 150MB, runs completely locally
• Real-time Recognition: Transceiver receive voice real-time to text
• Multi-language Support: Chinese, English, Japanese, etc.
• Callsign Recognition: Automatically recognizes callsign format

Speech Synthesis (TTS)

• Qwen3-TTS Integration: Alibaba 1.7B model, true baritone voice
• Phonetic Alphabet: Callsigns automatically converted to international phonetic pronunciation
• Smart Switching: Chinese/English automatically selects best voice
• PTT Integration: Hold transmit button auto-synthesizes and transmits

Use Cases

🎚️ TX Transmit Equalizer

Three-band equalizer optimizes transmit audio quality, specifically for shortwave communication voice optimization.

Preset Modes

Anti-Alias Filtering

Uses 6kHz lowpass filter, removes high frequencies before downsampling, solves the shrill sound problem caused by iPhone microphone high-frequency emphasis.

📡 CW Real-time Decoding System

Deep learning based Morse code real-time decoding, supports frontend ONNX inference and backend PyTorch decoding dual modes.

Technical Architecture

• Browser-First AI: AI capability pushed to browser side, zero backend dependency
• Dual-Mode Decoding: Frontend ONNX (2MB) + backend morse-deep-learning
• Ultra-Low Latency: Frontend inference <50ms, end-to-end <100ms
• High Accuracy: Character Error Rate (CER) <3% @ SNR>-5dB

Core Features

Try It Live

📉 NanoVNA Vector Network Analyzer

• Web Interface: Built-in NanoVNA Web control interface
• Standalone PWA: Can be added to home screen as independent application
• Real-time Measurement: S11, S21 parameters real-time display
• Smith Chart: Supports Smith chart display

📻 FT8/ULTRON Automation Tool

ULTRON Enhanced is MRRC V4.9's new FT8 digital mode automation tool, supporting JTDX, WSJT-X, MSHV software integration.

Core Features

Supported Software

How to Run

# Python version (recommended)
cd ft8
python run_ultron.py

# DXCC enhanced mode
python ultron_dxcc.py

# Analyze worked entities
python dxcc_analyzer.py

Try It Live