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Discusses real-time DSP implementation issues for wireless receivers where statistical estimation and fixed-point arithmetic impact performance. Presents considerations for practical receiver design and techniques to manage numerical effects in embedded implementations.
Presents a MIMO SDR testbed (LiUMIMO) that performs real over-the-air transmission and reception while performing signal processing in MATLAB. Useful for realistic tests of MIMO+OFDM standards beyond pure simulation.
Proposes a system-level Simulink transmitter for multi-band UWB. Covers UWB theory, Simulink implementation, and component-level frequency generation using a 0.13 μm process for proof-of-concept.
Uses virtual reality flight simulators to study how intermittent odor plumes are perceived and tracked by flies; shows perceptual fusion limits vary with odor identity and links behavior to antennal field responses.
Describes development and validation of a portable low-cost BCI versus a conventional 32-channel system. Results show comparable decoding performance, demonstrating suitability for out-of-lab BCI applications.
Investigates tensegrity-based models for the human knee as an alternative to revolute/ball-and-socket approximations, with implications for biologically inspired robotic joints and prosthetics.
Introduces an IoT BAN platform with multiple wearable sensor nodes, secure networking, and on-device computational capability to support rapid development of medical device applications and ML-based fusion.
Develops an embedded FPGA-based device that detects breathing via sound and warns on cessation, targeting reliable infant apnea monitoring without intrusive sensors.
Discusses overlays and a JITA approach enabling runtime assembly of hardware accelerators to raise FPGA design abstraction and integrate into software flows.
Presents a system that converts monophonic music to MIDI, detailing pitch detection algorithms and applications for automatic transcription.
Reviews adder/multiplier architectures and their implementation in DSP filters, with FPGA test results and real-time filtering demonstrations.
Describes design, construction and MATLAB signal processing for a scaled SAR system, including platform, antenna, and movement control for image formation.
Implements a Linkwitz transform and MATLAB GUI to extend and optimize low-frequency response of a sealed subwoofer enclosure with active control.
Presents swept-tone stimulus design and deconvolution techniques to improve OAE acquisition, showing improved response magnitude versus conventional clicks.
Details high-resolution instrumentation and acquisition methods for OAEs, demonstrating reduced stimulus artifact and earlier latency detection.
Builds MATLAB simulation models for symmetrical and unsymmetrical faults in three-phase systems, analyzes fault impacts on voltages, currents and sequence components.
Develops an automated system measuring soil moisture, temperature, humidity and other variables with PID control and MATLAB/NI LabVIEW integration for remote monitoring.
Uses short high-amplitude audio segments and SVM classifiers for bird song identification; demonstrates improved performance over full-record approaches.
Applies Gabor filters to enhance fingerprint images, improving edge/valley detection and quality for security applications.
Explores wavelet-based noise reduction techniques applicable to communications, speech, medical signals and other domains where noise removal is crucial.
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