'Error signal' diaporamas de présentation

A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients

604 views • 45 slides

The VIRGO Environmental Monitoring System

The VIRGO Environmental Monitoring System. R. De Rosa University of Napoli - Federico II and INFN - Napoli. Environmental Monitoring Overview. - Slow Monitoring System Environmental Monitoring System Seismic Probes Magnetic Probes Acoustic Probes Probe Location in VIRGO

610 views • 44 slides

Metrology of time and length - a question of radio and optical frequencies

627 views • 42 slides

Cooperative and Noncooperative Operations of Swarms

Cooperative and Noncooperative Operations of Swarms. Hoam Chung, David Shim, Mike Eklund, Shankar Sastry University of California, Berkeley. www.swarms.org. Cooperative Operations of Swarms. Heterogeneous formation flight of MD500s and UH-60s.

553 views • 40 slides

< Loop Water Controller >

< Loop Water Controller >. Updated by: Yap Boon Thiam Technical Engineer Email: yapbt@oyl.com.my Date: 9/5/2012. Controller Layout. Hardware Outlook. 1. Features 2. Protections 3. Error Code 4. Operations. Contents. 1.1 System On/Off 1.2 Pump Control Function

609 views • 39 slides

Static Sprite Generation

561 views • 35 slides

echo

echo. cancellation. Ian Hung 2B Computer Engineering University of Waterloo August 17th, 2001. Squelching Echo in a Digital Cellular Network. A. Background and Significance B. Echo Basics C. Process of Echo Cancellation D. Echo Control E. Evaluating Audio Quality

651 views • 24 slides

Experience-Based Surface-Discernment by a Quadruped Robot

Experience-Based Surface-Discernment by a Quadruped Robot. by Lars Holmstrom, Drew Toland, and George Lendaris Portland State University, Portland, OR. Motivation for the Research. Enhance our Understanding of Intelligence

347 views • 24 slides

EE 690 Design of Embodied Intelligence

Least-squares-based Multilayer perceptron training with weighted adaptation -- Software simulation project. EE 690 Design of Embodied Intelligence. Outline. Multilayer Perceptron Least-squares based Learning Algorithm Weighted Adaptation in training

352 views • 22 slides

Mechatronics and microprocessor

Mechatronics and microprocessor. Outline . Introduction System and design of system Control, measurement and feed back system Open and closed loop system Elements of closed loop system Traditional vs mechatronics system Sequential controllers Programmable logic controller.

1.13k views • 21 slides

Hartmann Wavefront Sensing for the Gingin Experiment

Hartmann Wavefront Sensing for the Gingin Experiment. Aidan Brooks, Peter Veitch, Jesper Munch Department of Physics, University of Adelaide LSC, LLO Mar 2005 LIGO-G050196-00-Z. Layout of Talk. Thermal distortion and compensation in Adv. GWIs

341 views • 19 slides

Osamu Miyakawa Hiroaki Yamamoto March 21, 2006 LSC meeting

Modeling of AdLIGO arm lock acquisition using E2E time domain simulation. Osamu Miyakawa Hiroaki Yamamoto March 21, 2006 LSC meeting. Introduction. Is it possible to acquire lock FP arms of AdLIGO? Complicated Quad-suspension

316 views • 18 slides

Single Tank System

Fuzzy Logic. Fuzzy Control. LI. FV. Single Tank System. Desired liquid level: 5 cm ( 0.05 m ). Required inflow rate: ? 0.0119 m 3 /s ( 11.9 l /s ). A : cross-sectional area of the tank a : cross-sectional area of the pipe. Fuzzy Logic. Fuzzy Control. high. low. okay.

587 views • 16 slides

Chapter 3: Pulse Code Modulation

Chapter 3: Pulse Code Modulation. Pulse Code Modulation Quantizing Encoding Analogue to Digital Conversion Bandwidth of PCM Signals. Huseyin Bilgekul Eeng360 Communication Systems I Department of Electrical and Electronic Engineering Eastern Mediterranean University.

1.43k views • 15 slides

375 views • 15 slides

Nonlinear and Time Variant Signal Processing

Nonlinear and Time Variant Signal Processing. R.C. Maher ECEN4002/5002 DSP Laboratory Spring 2003. Introduction. Most of the signal processing algorithms considered in this course are linear and time invariant (LTI).

397 views • 12 slides

Adaptive FIR Filter Algorithms

Adaptive FIR Filter Algorithms. D.K. Wise ECEN4002/5002 DSP Laboratory Spring 2003. Introduction. Some signal processing applications require that the system compensate for things outside of its direct influence. Adaptive filtering algorithms allow for modeling of the outside phenomena.

660 views • 11 slides

Humidity Controller Project #23

211 views • 10 slides

Paper Report

166 views • 6 slides

References

81 views • 1 slides