Technical Documentation

The Navigation Database Reverse Engineering project decodes and analyzes binary data from navigation databases, using a suite of Python scripts for comprehensive data handling.

Core Components and Functionalities

Key components of this project include:

• DataAnalyzer2.py: Performs statistical analysis and clustering.
• Maya_Cartesian_Import.py: Integrates data with Maya for 3D visualization.
• cartesianconverter.py: Converts GPS data to Cartesian coordinates.
• REVERSE ENGINEER PT 1.py: Initiates the reverse engineering process.
• TimeZeroDataAll.py & TimeZero_v2.py: Extract initial GPS data with advanced processing.

Sample Code Snippets

# Descriptive statistics function
def descriptive_statistics(data):
    return data.describe()

# Maya import function
def import_to_maya(data):
    maya_cmds.import_data(data)

# GPS to Cartesian conversion function
def gps_to_cartesian(lat, long, alt):
    x, y, z = convert_gps(lat, long, alt)
    return x, y, z

# Data extraction and decoding function
def extract_and_decode(data):
    decoded_data = decode_binary(data)
    return decoded_data

# Load depth data function
def load_depth_data(file_path):
    return load_data(file_path)
            

These snippets illustrate the functionalities within each component of the project, focusing on data processing and visualization integration.