Lecture notes for undergraduate and first-year graduate students on digital watermarking and data embedding in multimedia data.
Based on lectures developed at University of Maryland, College Park, USA.
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- Read more about Modeling the Wave Equation Using Physics-Informed Neural Networks Enhanced with Attention to Loss Weights
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Presentation for ICASSP 2023: Modeling the Wave Equation Using Physics-Informed Neural Networks Enhanced with Attention to Loss Weights.
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- Read more about Signal Analysis-Synthesis Using The Quantum Fourier Transform
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This paper presents the development of Quantum Fourier transform (QFT) education tools in the object-oriented Java-DSP (J-DSP) simulation environment. More specifically, QFT and Inverse QFT (IQFT) user-friendly J-DSP functions are developed to expose undergraduate students to quantum computing. These functions provide opportunities to examine QFT resolution, precision (qubits), and the effects of quantum measurement noise.
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- Read more about Explainable Machine Learning: The importance of a system-centric perspective
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- Read more about Experiments in Creating Online Course Content for Signal Processing Education
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A brief introduction to the NPTEL.ac.in platform of India which
provides free access to quality online educational content for
Signal Processing. Experiences of creating courses related to Signal Processing,
supported by the European Union-funded project, MIELES.
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- Read more about Teaching Signals and Systems - A First Course in Signal Processing
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Signals and systems is a well known fundamental course in signal processing. How this course is taught to a student can spell the difference between whether s/he pursues a career in this field or not. Giving due consideration to this matter, this paper reflects on the experiences in teaching this course. In addition, the authors share the experiences of creating and conducting a Massive Open Online Course (MOOC) on this subject under edX and subsequently following it up with deliberation among some students who did this course through the platform.
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- Read more about LMS: PAST, PRESENT AND FUTURE: Puzzles, Problems and Potentials
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We give a brief history of the performance analysis of LMS.
Using averaging theory we show when and why the ‘independence
assumption’ ‘works’; we preface this with a fast
heuristic explanation of averaging methods, clarifying their
connection to the ‘ODE’ method. We then extend the discussion
to more recent distributed versions such as diffusion
LMS and consensus. While single node LMS is a single timescale
algorithm it turns out that distributed versions are twotime
scale systems, something that is not yet widely understood.
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- Read more about EDUQA : EDUCATIONAL DOMAIN QUESTION ANSWERING SYSTEM USING CONCEPTUAL NETWORK MAPPING
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- Read more about SMART DSP FOR A SMARTER POWER GRID: TEACHING POWER SYSTEM ANALYSIS THROUGH SIGNAL PROCESSING
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