Filtering in Computer Vision - Lecture 2
Learn about image filtering techniques, including noise reduction, edge detection, and smoothing. Explore applications in computer vision and gain hands-on experience with MATLAB functions for image processing.
CAP5415 - Digital Image Processing: Filtering and Noise Reduction - Lecture 3
Explore image processing fundamentals, including digitization, histograms, noise types, and filtering techniques. Learn about derivatives, averages, and correlation in the context of digital image analysis.
CAP6412 - SmoothGrad: Removing Noise by Adding Noise - Lecture
Explore SmoothGrad, a technique for enhancing neural network visualization by adding noise to input images and averaging resulting sensitivity maps.
Image Filtering, Convolution, and Edge Detection
Explore image processing techniques including filtering, convolution, and edge detection. Learn about derivatives, noise reduction, and various edge detection algorithms for computer vision applications.
Filtering in Computer Vision - Lecture 2
Learn about image filtering techniques, including noise reduction, derivatives, convolution, and Gaussian filters. Explore practical applications in computer vision using MATLAB.
Image Filtering in Computer Vision - Part II - Lecture 5
Explore advanced image filtering techniques, including derivative operations, Gaussian smoothing, and various filter types. Learn their applications and properties in computer vision.
Soft Switching for Inverters - Lecture 34
Explore soft switching techniques for inverters, including resonant pole and ARCP inverters. Examine impacts on filter design and EMI emissions in power electronics.
EMI Filters - Common-Mode and Differential-Mode Signals - Lecture 30
Explore common-mode and differential-mode signals in EMI filtering, learning design techniques for noise reduction in power electronics systems.
Switching Losses and Snubbers in Power Electronics - Lecture 15
Explore semiconductor losses, including conduction and switching, and learn about snubbers for modifying switching transitions to reduce noise and protect devices in power electronics.
EMI Filters Design and Optimization - Lecture 29
Explore EMI filter design, focusing on component parasitics, layout optimization, and damping effects in power electronics. Gain insights into advanced filter design techniques.
EMI Filters - Introduction and Basic Considerations - Lecture 28
Explore EMI filtering basics in power electronics, focusing on preventing interference with nearby devices. Learn key considerations and requirements for effective EMI filter design.
Digital Signal Processing Lectures, Fall 2014
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.
Free Subtitle Generator - The Fastest Way to Create Subtitles
Generate automatic subtitles for audio and video using Faster-whisper, a faster implementation of OpenAI's Whisper model. Learn to transcribe, create SRT files, and translate subtitles to multiple languages.
Music, Medicine, and Machine Learning - May 23, 2024
Explore the intersection of music, medicine, and machine learning with Dr. Tina Tallon in this thought-provoking lecture on innovative applications and future possibilities.
Audacity Tutorial
Learn professional singing techniques, audio editing, and voice enhancement using Audacity. Master noise removal, autotune, vocal extraction, and more in this comprehensive tutorial.
Lightroom CC Tutorials
Comprehensive tutorials covering Lightroom CC features, editing techniques, and workflow optimization for photographers of all levels.
AssemblyAI
Learn to convert audio to text, summarize audio files, and perform sentiment analysis on audio using Python and speech recognition techniques.
Z Transform
Explore the Z Transform, its applications, and its relationship to other transforms in signal processing and analysis.
Tagging Audio Using Deep Learning
Learn to use deep learning for audio tagging, converting sounds to images and building a classifier model to categorize songs by mood. Includes hands-on demo and practical insights.
Fourier Analysis
Comprehensive exploration of Fourier analysis, covering series, transforms, and applications. Includes practical implementations in MATLAB and Python for signal processing, PDEs, and image compression.
Create a Custom Neural Voice "Lite" for Brands and Characters - The AI Show Episode 56
Explore Custom Neural Voice "Lite" for creating natural-sounding synthetic voices with just 5 minutes of speech data. Learn about its applications and see demos of this innovative AI technology.