MATLAB
MATLAB is a high-performance language developed by MathWorks for technical computing, visualization, and programming. It is written in C, C++, Java and available for Windows, macOS, and Linux. Generally used by engineers and scientists in industry and academics for data analysis, signal processing, optimization and many other types of scientific computations.
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Modeling nocturnal bird migration from a weather radar network
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📡 Implement advanced RF modulation classification using MATLAB with ML techniques, featuring BPSK, QPSK, 8PSK, and 16QAM for effective signal processing.
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🛠️ Demonstrate a PS5 kernel exploit for firmware <=10.40 using a stack use-after-free vulnerability in the fsc2h_ctrl syscall.
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📚 Explore comprehensive Signals and Systems course materials with LaTeX notes, MATLAB apps, and solved examples for effective learning and practice.
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🔊 Analyze audio signals in MATLAB with this toolkit that visualizes waveforms, spectrograms, and applies digital filters efficiently.
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🧪 Simulate digital PI control loops for first-order systems, including actuator saturation, to bridge theory and practical implementation on microcontrollers.
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📊 Fetch real-time Italian statistics on economy, population, health, and more with the Live Italy API Wrapper, fully supporting TypeScript.
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🔍 Compare various direct and iterative methods for solving linear equations in MATLAB to analyze performance and efficiency with practical implementations.
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🧬 Explore quantum computing with this interactive simulator. Visualize qubit superposition, entanglement, and operations directly in your browser.
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🔍 Build an ultrasonic radar using an embedded Linux SoC, enabling remote viewing and real-time measurements through a simple Python script.
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🚀 Implement controllers for a two-joint manipulator using adaptive, robust, and various MPC methods in MATLAB/Simulink for enhanced control solutions.
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🤖 Enhance your coding efficiency with SPARC, a command-line AI assistant that executes code, manages files, and visualizes architecture seamlessly.
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🧠 Segment brain tumors accurately using a 2D U-Net model in PyTorch with the BraTS 2020 dataset for efficient evaluation and visualization.
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🌍 Optimize CO₂ storage in geological formations using advanced algorithms for safe and efficient carbon dioxide injection and management.
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🏥 Analyze hospital readmissions with a data pipeline for insights on risk factors, improving patient outcomes using modern tools and predictive models.
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🌟 Track your personal challenges and boost your consistency with this simple web app designed for effective Frontend Development learning.
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🛠️ Format texts safely and efficiently in C++ with the fmt library, providing user-friendly output and strong performance for your applications.
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🧠 Build and run perceptive-language models with this Python SDK and CLI, ensuring stability across updates and flexibility in provider selection.
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Created by Cleve Moler
Released 1984
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