'Low pass filter' presentation slideshows

Object Recognition

Object Recognition. A wise robot sees as much as he ought, not as much as he can Search for objects that are important lamps outlets wall corners doors wall plugs. A mobile robot should be self-sufficient in power finding. In any case, we need information reduction. Segmentation - Review.

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Digital Communication Systems Lecture-2, Prof. Dr. Habibullah Jamal

Digital Communication Systems Lecture-2, Prof. Dr. Habibullah Jamal. Under Graduate, Spring 2008. Formatting. Example 1: In ASCII alphabets, numbers, and symbols are encoded using a 7-bit code. A total of 2 7 = 128 different characters can be represented using

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Image Processing and Computer Vision for Robots

Image Processing and Computer Vision for Robots. Convolution-based Image Processing, especially for texture partitioning and robot vision. . Convolution Application in Robot Vision. First few examples what can be achieved with convolution. What is convolution.

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Successful application of Active Filters

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Image Processing #3 Convolution and Filtering

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Basic ideas of Image Transforms are derived from those showed earlier

Basic ideas of Image Transforms are derived from those showed earlier. Image Transforms. Fast Fourier 2-D Discrete Fourier Transform Fast Cosine 2-D Discrete Cosine Transform Radon Transform Slant Walsh, Hadamard, Paley, Karczmarz Haar Chrestenson Reed-Muller.

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Interfacing

Interfacing. CPU vs. I/O Bound Buffered vs. Unbuffered Synchronization Blind cycle Busy polling Interrupts vectored Direct Memory Access (DMA) I/O Modules/Ports isolated memory mapped . CMOS I/O structures. see Wakerly 3.3 - 3.7, pp 86 - 135. Schmitt Trigger Inputs Tri-State Outputs

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Portable Heart Rate Monitor & Arrhythmia Detector

Portable Heart Rate Monitor & Arrhythmia Detector. Enyinnaya Egejuru December 3, 2008 Senior Design Project. Instructor: Prof. Swenson. TA: Bob Schoonover. Section 1. Introduction . Objective.

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Operational Amplifiers

http://hyperphysics.phy-astr.gsu.edu/hbase/electronic/opamp.html#c4

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Image Processing Basics

Image Processing Basics. What are images?. An image is a 2-d rectilinear array of pixels. Pixels as samples. A pixel is a sample of a continuous function. Images are Ubiquitous. Input Optical photoreceptors Digital camera CCD array Rays in virtual camera (why?) Output TVs

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Team

Team . Measuring Ocular Microtremor. Thomas Rutkowski Vivian Phinney Salman Al-Saif Mark Hasemeyer Steve Carroll. Ocular Microtremors (OMT). -Low-amplitude, high-frequency tremors of the eye. (20-100Hz) -Caused by random, ground-state signals on oculo-motor nerves

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Floating Inductors

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ELEC 412 RF & Microwave Engineering

ELEC 412 RF & Microwave Engineering. Fall 2004 Lecture 13. Band-Pass Filter Design Example. Attenuation response of a third-order 3-dB ripple bandpass Chebyshev filter centered at 2.4 GHz. The lower cut-off frequency is f L = 2.16 GHz and the upper cut-off frequency is f U = 2.64 GHz.

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2.45 GHz Low Power Rectenna Design for Wireless Sensor & RFID Applications

2.45 GHz Low Power Rectenna Design for Wireless Sensor & RFID Applications. Ph.D. Candidate: Yunlei Li Advisor: Jin Liu 9/10/03. Outline. Introduction Rectifier Antenna System Conclusion. Radio Frequency Spectrum. Electromagnetic Power Transmission.

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An NLTL based Integrated Circuit for a 70-200 GHz VNA System

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Introduction to The Lifting Scheme

Introduction to The Lifting Scheme . Wavelet Transforms. Two approaches to make a wavelet transform: Scaling function and wavelets (dilation equation and wavelet equation) Filter banks (low-pass filter and high-pass filter) The two approaches produce same results, proved by Doubeches.

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Accelerometer based localization for distributed off-the-shelf robots (Cots-Bots) Thomas Cheng, Sarah Bergbreiter Advis

Accelerometer based localization for distributed off-the-shelf robots (Cots-Bots) Thomas Cheng, Sarah Bergbreiter Advisor: Prof. K.S.J. Pister. Hardware/software setup. Objectives. Explore the possibility of using accelerometers as an instrument to localize robots in short range.

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