Відео

Custom A star path planning algorithm using ROS 2 for Robotics and Extended Reality

Robot path planning using Dijsktra algorithm in ROS 2 for Robotics and Extended Reality

Robot path planning using A star algorithm in ROS 2 for Robotics and Extended Reality

This video explains how to extract edges of multiple images simultaneously using following methods 1. Canny Detector 2. Prewitt 3. Sobel 4. LOG

In this a complete demonstration of how to make certificate of appreciations in Microsoft PowerPoint 365 is presented.

In this video multiple images are read from one folder and after resize all the images are stored in another folder using MATLAB.

This video helps the students and beginners to format shapes in Microsoft PowerPoint 365. This tutorial also helps to improve skills to make an attractive presentation.

This video will help you to understand and implement zoom feature using MS PowerPoint 365.

This video lecture will help the beginners to grab the idea of few basic things of MS PowerPoint. Making complex things with simple techniques. This video will also help you if you are preparing for MOS PowerPoint Exam.

This Video is demo of gender classification using AlexNet and SVM classifier. The video contains a code that has been used to publish a conference paper. The explanation of the code is presented in the following two videos: Link 01: ua-cam.com/video/om9_CZKezrY/v-deo.html Link 02: ua-cam.com/video/lqHNGXtk5xY/v-deo.html

Week 12 (A) Window method and applications of FIR filters

Week 12 (B) Frequency Sampling Design Method

Feature Extraction with AlexNet

Feature Extraction with LBP

Week 15 (b) Adaptive filters

Week 15 (a) Poles zeros placement method for IIR filters design

Week 14 (d) Impulse Invariant Design Method

Week 14 (c) Butterworth and Chebyshev Filters Design

Week 14 (b) Bilinear Transfrmation frequency wrapping

Week 14 (a) IIR Filter Design

Week 13(b) Z transform cont. and Transfer Function

Week 13 (a) Z Transform

Week 12 (B) Frequency Sampling Design Method

Week 12 (A) Window method and applications of FIR filters

Week 11 (a) FIR Filters

Week 11(b) Window Method

Week 10 (b) Moving Averaging Filters MATLAB

Week 10 (a) Introduction to Digital Filters

Week 09 (d) Sampling Theorem