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A method using digital signal processors (DSPs) with a pipelined vision processor (PVP) embedded at hardware level is proposed to accelerate imaging computation for real-time diagnostic imaging. A lab prototype validated with SPECT case studies shows superior accuracy and ~250% acceleration in computational speed compared to standard post-scan analysis software.
Proposes a chaos-based encryption with a large key space for OFDM-PON using a 1-D chaotic logistic map to scramble subcarrier allocation in time/frequency and logical operations. Demonstrates a ~10-Gb/s secure transmission over 25-km single-mode fiber and robustness against exhaustive attacks.
Demonstrates a VLC system using color-shift-keying (CSK) combined with CDMA and a mobile-phone camera receiver. CSK increases capacity and mitigates color interference; CDMA enables multiple users. Proof-of-concept shows error-free multi-user transmission and improved transmission gain.
Surveys hierarchical (layered) modulation, highlighting backward compatibility, low complexity, and benefits for throughput improvements. Discusses HM in cooperative communications and future research directions.
Proposes a home energy management system using load-shifting and multi-objective optimization to minimize cost and peak-to-average ratio while maintaining comfort. Real-time rescheduling and coordination among appliances are formulated and solved, with simulation results and confidence intervals.
Converts time-delay fractional-order parameter estimation into a multi-dimensional optimization problem and uses an ABC algorithm to estimate time delay, fractional order and system parameters. Numerical experiments verify the method's effectiveness.
Presents commonly used simulation tools in Telecommunication Engineering curricula, compares features, and summarizes student feedback on complexity and educational benefits.
Discusses real-time DSP implementation issues for wireless receivers where statistical estimation and fixed-point arithmetic impact performance; presents considerations for practical receiver design.
Surveys privacy issues in Smart Grid deployments, proposes a taxonomy of privacy-preserving solutions, and outlines research challenges for balancing data utility and consumer privacy.
Describes broadband supercontinuum generation in fibers for visible and mid-IR, numerical simulations based on the generalized NLSE, and applications to 3D imaging and stand-off spectroscopy with performance results.
Proposes a receiver design that enhances detection capability for multiple signals in wideband receivers using discrete wavelet transform techniques to separate and detect overlapping signals.
Presents a speaker-independent speech recognition pipeline: preprocessing, feature extraction, and DTW for comparing speech feature vectors. Includes MATLAB experiments and a simple voice-to-text application.
Implements an isolated-word recognition algorithm in MATLAB using feature extraction and rule-based matching; discusses trade-offs between speaker-dependent and speaker-independent approaches.
Uses MFCC feature extraction and correlation-based pattern matching for speech recognition; MATLAB simulations show reasonable performance for isolated-word tasks.
Studies IM-DD systems, capacity bounds under intensity constraints, and coding strategies (truncated-Gaussian and discrete distributions). Discusses high-SNR behavior and trade-offs for blind MMSE equalization.
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