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High-Level Computer Vision with MATLAB 1. Introduction This laboratory session provides the opportunity to design and implement a computer vision systems that can count how many of two specific types of object are present in an image. The hours timetabled for this laboratory are completely insufficient to complete it. You are required to work on […]

HW VI EE 588: Optimization for the information and data sciences University of Southern California Assigned on: November 16, 2018 Due date: beginning of class on November 28, 2018 1- Logistic regression with momentum. In this problem we will try to predict whether points on a two-dimensional graph reprsent a hill or valley. We are

Ob jective BEng Biomedical Engineering Computer Programming Coursework 3 – Take-Home Assignment To gain practical experience of computer programming and design using MATLAB. Introduction The volume of the heart’s left ventricle (LV) over the cardiac cycle can provide useful information to cardiologists about the health of the heart. LV volumes can be estimated from imaging

MA 568 – Statistical Analysis of Point Process Data Data Analysis Project: Airplane Arrival Data The U.S. Bureau of Transportation Statistics provides access to data about scheduled and actual arrival and departure times for flights from major air carriers. While the scheduled arrival and departure times are deterministic, the actual ones are quite variable and

MA 568 – Statistical Analysis of Point Process Data Problem Set #4 Due November 20, 2018 Most of the analyses we have developed so far have focused on point process data in the time domain. It is often useful to visualize spiking data and construct models in the frequency domain, as well. In this problem,

tB3gEoggggggg LAB 2: Recover Moire images from superimposed Fresnel zone plates This lab requires to recover Moire images from superimposed Fresnel zone plates. Carefully read the following procedures: 1. Create Sinusoidal zone plats using the following equation: ECE 253, Fall 2018 Fundamentals of Digital Image Processing Department of Electrical and Computer Engineering University of California,

The University of Sydney School of Mathematics and Statistics Computer Project MATH2070/2970: Optimisation and Financial Mathematics Web Page: http://www.maths.usyd.edu.au/u/IM/MATH2070/ Lecturer: Anna Aksamit and Georg Gottwald Semester 2, 2018 Due on 5.00pm Thursday 1st November via TurnItIn Late assignments are not accepted without prior arrangement well before the deadline! You must attach a scanned copy of

Assignment 2, Digital Signal processing: FIR filters   The task of this assignment is to filter an ECG with FIR filters. Before you record from yourself please read the info-sheet and sign the consent form. 1 ECG filtering Form groups of 2 students. Submit one report. There are different amplifiers with different gains and converter

The University of Sydney School of Mathematics and Statistics Computer Project MATH2070/2970: Optimisation and Financial Mathematics Web Page: http://www.maths.usyd.edu.au/u/IM/MATH2070/ Lecturer: Anna Aksamit and Georg Gottwald Semester 2, 2018 Due on 5.00pm Thursday 1st November via TurnItIn Late assignments are not accepted without prior arrangement well before the deadline! You must attach a scanned copy of

The University of Sydney School of Mathematics and Statistics Computer Project MATH2070/2970: Optimisation and Financial Mathematics Web Page: http://www.maths.usyd.edu.au/u/IM/MATH2070/ Lecturer: Anna Aksamit and Georg Gottwald Semester 2, 2018 Due on 5.00pm Thursday 1st November via TurnItIn Late assignments are not accepted without prior arrangement well before the deadline! You must attach a scanned copy of