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Design and develop a remote radar data acquisition and control system using a CDMA RF link. Collect seeker parameters and status for health monitoring during testing and missile launch exercises, with MATLAB analysis and visualization of acquired telemetry.
MATLAB implementation and investigation of OFDM systems: modulation/demodulation, cyclic prefix, channel models, and BER performance under multipath and frequency-selective fading.
Simulate a DSSS-based CDMA modem: BPSK signaling, PRN sequence spreading/despreading, synchronization, and evaluation of multiple-access interference in MATLAB/Simulink.
Survey and compare simulation tools used in telecom engineering curricula; analyze features, student feedback, and trade-offs for teaching signal processing and communications with MATLAB-based toolchains.
Design and build a low-cost scaled SAR: RF frontend, platform motion control, and MATLAB signal processing for image formation, with discussion of range/azimuth processing and improvements like RCMC and azimuth compression.
Analyze privacy threats in smart grids, propose a taxonomy of privacy-preserving solutions and evaluate trade-offs between data utility and consumer privacy using MATLAB simulations.
Numerical and experimental study of supercontinuum generation in fibers (visible to mid‑IR), plus MATLAB modeling for applications in 3D imaging and stand‑off spectroscopy.
Integrate a visualization tool with MATLAB to enable interactive analysis of 3D gene expression PointClouds, demonstrating genetic-model fitting via MATLAB algorithms linked into the viewer.
Describe a MATLAB-based middle layer for accelerator control: scripting, model-based applications, and integration with toolboxes (AT, LOCO, MCA) for machine simulation and online control.
Study impulse-radio UWB transmitter design and receiver techniques; implement and validate THSS‑UWB transmitter concepts using MATLAB/Simulink models.
In today\\\'s rapidly advancing era of automation, robotics control systems are
Learn MoreThe financial sector is witnessing a technological revolution with the rise of Large Lang
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In today\\\'s rapidly advancing era of automation, robotics control systems are evolving to meet the demand for smarter, faster, and more reliable performance. Among the many innovations driving this transformation is the use of MCP (Model-based Control Paradigms)
The financial sector is witnessing a technological revolution with the rise of Large Language Models (LLMs). Traditionally used for text analysis, LLMs are now being integrated with powerful platforms like MATLAB to develop financial forecasting models