
Explore Digital Signal Processing with MATLAB: from impulse responses to Fourier transforms, filter designs, and spectral analysis. Gain practical skills for real-world DSP applications.

Comprehensive introduction to cryo-electron microscopy, covering theory, equipment, sample preparation, data collection, and analysis techniques for various biological imaging applications.

Explore quantum mechanics fundamentals, including wave-particle duality, Schrödinger equation, and applications in atomic physics. Develop problem-solving skills for quantum systems.

In this course, you will learn Basic mathematical preliminaries: Dirac Delta function and Fourier Transforms. Wave-particle duality, one- and three-dimensional Schrodinger equation. The free particle problem in one dimension. Wave Packets and Group veloc…

Comprehensive exploration of signal processing fundamentals, covering continuous and discrete-time systems, Fourier and Laplace transforms, sampling theory, and Z-transforms for practical applications.

Comprehensive exploration of integral transforms, focusing on Laplace and Fourier transforms, their properties, and applications in solving differential equations and boundary value problems.

Explore digital signal processing fundamentals, including sampling, Fourier transforms, discrete systems, filters, and various transform techniques. Gain practical skills in filter design and implementation.

Comprehensive review covering integration techniques, series analysis, and Fourier transforms, preparing students for advanced physics concepts and problem-solving.

Comprehensive exploration of digital image processing techniques, from fundamentals to advanced topics. Covers acquisition, manipulation, analysis, and applications of digital images across various domains.

Comprehensive lectures on digital signal processing, covering signals, systems, transforms, filtering, and advanced topics. Ideal for engineering students seeking in-depth understanding of DSP concepts and applications.

Explore algorithmic tools and optimization theory to uncover Transformer mechanisms for computational tasks, and discover how Transformers design data structures for tasks like nearest neighbor search.

Comprehensive tutorial on NumPy library for Python, covering array creation, manipulation, mathematical operations, and matrix handling. Ideal for beginners seeking to enhance data processing skills.

Comprehensive introduction to MATLAB, covering basic syntax, data analysis, signal processing, image manipulation, and probability concepts with practical exercises and real-world applications.

Comprehensive exploration of Laplace and Fourier transforms, covering theory, applications, and problem-solving techniques for differential equations and signal processing.

Explore delta functions, their properties, and applications in signal sampling, including Fourier transforms and practical exam scenarios.

Explore convolution through intuitive descriptions, equations, and worked examples of typical functions, covering various applications and related concepts.

Comprehensive exploration of Fourier Transform, covering definition, properties, applications, and relationships to other transforms. Includes 2D extension for image processing and practical examples.

Comprehensive exploration of Laplace Transform: equations, examples, convergence, applications in circuits, and relationships with other transforms. Ideal for deepening mathematical understanding.

Explore the Z Transform, its applications, and its relationship to other transforms in signal processing and analysis.

Explore practical applications of Fourier Transform, including 2D image processing. Learn through examples, from basic cosine functions to complex system analyses and digital signal processing.

Explore the powerful Separation of Variables technique for solving PDEs, focusing on Laplace's equation in 2D for steady-state heat distribution, with applications in physics and engineering.