Saxion

3 | 17:46

OHBOV12 - Why Language Matters When You Know You're Dying | Mark Taubert | TEDxCardiff

Module - OHBOV12 Dr Mark Taubert discusses the language we use when discussing terminal illness. He gives us (often very funny) examples of the language that his patients have used, and reads to us from his famous open letter to David Bowie. Dr Mark Taubert discusses the language we use when discussing palliative and terminal illness. He gives us (often very funny) examples of the language that his patients have used. Mark is a consultant physician and clinical director for palliative…

1 | 13:07

OMT24 - Discrete control #3: Designing for the zero-order hold

Module - OMT24 This is the third video on discrete control and in this video, I want to clear up a confusion that I caused last time regarding using the ZOH method to discretize a continuous controller and in doing so, we’ll also expand our knowledge on hold logic. Let’s get to it. Patreon - https://www.patreon.com/briandouglas Twitter - @brianbdouglas Email - controlsystemlectures@gmail.com Discrete control #1: Introduction and overview - https://youtu.be/14cMhrp5wlk…

2 | 24:35

OMT24 - Discrete control #2: Discretize! Going from continuous to discrete domain

Module - OMT24 I reposted this video because the first had low volume (Thanks to Jéfferson Pimenta for pointing it out). This is the second video on discrete control and in this one, we focus on discretizing a continuous system - getting to the z domain. If you recall from the last video, I mentioned three ways to design a digital controller that will run with a continuous plant and two of those ways require converting systems between the s and z domain. This video will cover some…

1 | 22:22

OMT24 - Discrete control #1: Introduction and overview

Module - OMT24 So far I have only addressed designing control systems using the frequency domain, and only with continuous systems. That is, we’ve been working in the S domain with transfer functions. We’re going to stick with frequency methods with transfer functions for the next few videos, but instead of working in the continuous S domain, we’re going to switch over and start to understand how to design control systems in the discrete or Z domain. GitHub for the…

2 | 01:00:27

OMT24 - DSP Lecture 18: IIR filter design

Module - OMT24 ECSE-4530 Digital Signal Processing Rich Radke, Rensselaer Polytechnic Institute Lecture 18: IIR filter design (11/3/14) 0:00:01 Introduction to IIR filter design 0:02:00 Differences between FIR and IIR filter design 0:04:38 IIR filter design process 0:07:11 Prony's method 0:11:56 Matrix formulation 0:16:42 Solving the matrix equation 0:18:47 Least-squares solution to the rest of the impulse response 0:22:19 Prony in Matlab 0:25:01 Frequency-sampling…

2 | 15:51

OMT24 - Problem No. 1 on Windowing Technique in FIR Filter

Module - OMT24 In this video you will see how to solve Problem on Windowing Technique in FIR Filter Windowing Technique Windowing technique is the straight forward method to obtain the filter impulse response with minimal computational effort and relative success of windows is due to their simplicity and in ease of use. The Finite Impulse Response sequence used in FIR filter design are obtained from infinite duration impulse response by truncating the infinite series at n = + N. In…

1 | 11:07

OMT24 - Introduction to FIR Filters

Module - OMT24 A brief introduction to how Finite Impulse Response (FIR) filters work for digital signal processing. FIR filters are commonly used in, e.g., digital down-conversion applications to filter an incoming signal before down-sampling it. FIR filters are relatively straight-forward to implement on a variety of digital processing platforms, and are most easily understood as a convolution in time domain, corresponding to a multiplication in frequency domain by the corresponding filter…

2 | 12:27

OMT24 - Overview of FIR and IIR Filters

Module - OMT24 http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Definition of finite impulse response (FIR) and infinite impulse response (IIR) filters and their basic properties.

2 | 12:57

OMT24 - Introduction to the Fourier Transform (Part 2)

Module - OMT24 I'm writing a book on the fundamentals of control theory! Get the book-in-progress with any contribution for my work on Patreon - https://www.patreon.com/briandouglas This video is the second part of the introduction to the Fourier Transform. I address an error that I made in the first video concerning the scaling term of the transform. I also try to give you a way to think about the forward Fourier Transform as just a division of the time domain signal and sines…