Acoustic Scene Analysis, Complex Modulations, and a New Form of Filtering - 2008
Explore acoustic scene analysis, complex modulations, and innovative filtering techniques for separating overlapping sound sources in noisy environments.
On Fisher Information Matrix, Array Manifold Geometry and Time Delay Estimation
Explore Fisher information matrix, array manifold geometry, and time delay estimation concepts in signal processing and their interconnected applications.
Statistical Methods for Medical Image Processing and Reconstruction
Explore statistical methods for medical image processing and reconstruction, from basic to advanced Bayesian approaches, across various imaging modalities.
From Bases to Exemplars, and From Separation to Understanding
Explore audio source separation techniques, from basis functions to exemplars, and learn how to achieve direct computation of tasks like noisy speech recognition without intermediate separation steps.
Channel Leakage Cancellation for Software Defined Radio Narrowband Radar Interferometry - GNU Radio Implementation
Explore channel leakage cancellation techniques for SDR narrowband radar interferometry using GNU Radio. Improve accuracy in short-range distance sensing with software solutions.
Quadratic Transform for Fractional Programs in Signal Processing and Machine Learning
Explore advanced fractional programming techniques for signal processing and machine learning, focusing on the quadratic transform method and its applications to complex optimization problems.
Time-Frequency Representations and Related Topics - Part 3
Explore advanced time-frequency representations and related concepts in signal processing, enhancing understanding of complex signal analysis techniques.
Time-Frequency Representations and Related Topics - Part 4
Explore advanced time-frequency representations and related concepts in signal processing, enhancing understanding of complex signal analysis techniques.
Time-Frequency Representations and Related Topics - Part 2
Explore advanced time-frequency representations and related concepts, building on foundational knowledge to deepen understanding of signal analysis techniques.
Time-Frequency Representations and Related Topics - Part 1
Explore time-frequency representations and related concepts in signal processing, gaining insights into advanced analysis techniques for complex signals.
Sharp Restriction Theory - Part 1
Explore advanced concepts in sharp restriction theory, focusing on key principles and applications in mathematical analysis.
Time and Band Limiting for Exceptional Orthogonal Polynomials
Explore time-and-band limiting in exceptional orthogonal polynomials, connecting integral operators, differential equations, and bispectral problems. Uncover links to KdV equations and random matrix theory.
The Spectra of Some Arithmetical Matrices
Explore the spectral analysis of GCD matrices and their connection to analytic number theory, focusing on recent developments in this classical field.
Работа с материалами ДЗЗ из космоса - Часть 3
Освойте передовые методы обработки и анализа космических снимков для решения задач дистанционного зондирования Земли.
Дистанционное зондирование - 12.10.2023
Изучите основы дистанционного зондирования и его применение в геологии и нефтегазовых технологиях. Повысьте свою квалификацию в этой перспективной области.
Methodological Lessons - Introduction to Data Analyses Procedures
Introduction to three data analysis procedures: Hilbert Transform Relative Phase, Wavelet Analysis, and Linear Mixed Effects Analysis. Suitable for all levels, providing a broad overview of their functions in bimanual coordination research.
Time Series Class - Part 1 - Dr Ioannis Papastathopoulos, University of Edinburgh
Learn fundamental concepts and advanced techniques for analyzing time series data, including ARMA models, state-space models, and neural networks for forecasting and inference.
Time Series Class - Part 1 - Dr. Ioannis Papastathopoulos, University of Edinburgh
Learn fundamental concepts and advanced techniques in time series analysis, including ARMA models, state-space models, and neural networks for forecasting and inference.
Time Series Class - Part 2 - Professor Chris Williams, University of Edinburgh
Explore time series analysis, from moving average models to advanced state-space techniques and recurrent neural networks. Gain practical skills in parameter estimation, forecasting, and applying models to real-world data.
Anomaly Detection in Hyperspectral Imaging - Neal Gallagher
Explore advanced anomaly detection techniques in hyperspectral imaging, focusing on GLS, ELS, and WPCA methods for improved sensitivity and selectivity in detecting minor signals within complex mixtures.
Affine Spline Insights into Deep Learning - Richard Baraniuk, Rice University
Explore deep learning through affine splines, understanding neural networks as matched filterbanks and partition-based signal distances. Gain insights into data augmentation and future research directions.