EEL 6502
Hmw # 3
Due Feb 8, 2011
Problem I
1 z 10
and its output is added with
1 z 1
white Gaussian noise of power N=0.1. The input to the plant is pink or 1/f noise . To
generate 1/f noise in Matlab, the simplest way is to create white Gaussian noise wit
EEL 6502
HMW # 3
Due Feb 9, 2012
Problem I
An unknown plant has transfer function
and its output is added with
white Gaussian noise of power N=0.1. The input to the plant is pink or 1/f noise . To
generate 1/f noise in Matlab, the simplest way is to creat
BME6360
Neural Engineering
Assignment #7
Spring 2011
Prof. Wheeler
1. You may use a hand held calculator or Matlab to solve the following problem.
The Alien Nerve Cell Problem: Neptunians have just landed on Earth. Immediately Drs. Hodgkiss and
Huxtable o
BME 6360 Neural Engineering
Spring 2012
Term Paper and Student Report Topics
Theme: Neuroprostheses
Please choose one partner for your team.
In pairs, choose one of the following (limit two teams per topic)
1. Cochlear Prosthesis
2. Retinal Prosthesis
3.
BME 6360
Neural Engineering
Homework #11
Spring 2011
Prof. Wheeler
Neural Network Pattern Recognition. This exercise is a logical continuation of the pattern recognition
done in HW 10. You will execute both a Matlab version of the neural net and one writt
BME 6360
Neural Engineering
Homework #10
Spring 2011
Prof. Wheeler
The goal of this exercise is to practice basic pattern recognition methodology with biological signals.
The report should consist of:
(a) The output of the classplt function operating on t
BME 6360
Neural Engineering
Homework #9
Spring 2011
Prof. Wheeler
The goal of this exercise is to practice using the autoregressive (AR) modeling technique. Students
should start with an understanding of the frequency content of signals and methods to ext
BME6360
Neural Engineering
Homework #8
Spring 2011
Prof. Wheeler
This is a demonstration assignment. It's purpose is to review some basic operations with Fourier
transforms. It's primary goal is to help you look at a Fourier transform, especially one done
BME6360
Neural Engineering
Homework #6
Spring 2011
Prof. Wheeler
The goals of this exercise are:
1. to use the techniques for establishing stability in a feedback control system
2. to use this model to ask systems questions about a biological system
As us
BME6360
Neural Engineering
Homework #5
Spring 2011
Prof. Wheeler
The goals of this exercise are:
1. To give you experience in linear system identification at a basic level. You should be able to
create a transfer function which accounts for the data with
BME 6360
Neural Engineering
Homework #4
Spring 2011
Prof. Wheeler
Introduction
The oculomotor system is a biological implementation of a classical control problem. A military
analog is that of tracking a moving target with a gunsight mounted on a rolling
BME 6360
Neural Engineering
Homework #3
Spring 2011
Prof. Wheeler
Introduction to Simulink
The goals of this exercise are three:
A. To acquaint you with Simulink.
B. To have you create your own simulation.
C. To introduce to you a simple simulator which c
BME6360
Neural Engineering
Due: Jan 27, 2011
Homework #2
Spring 2011
Prof. Wheeler
The objective of this assignment is to review basic linear systems theory and to acquaint you with using
Matlab functions to expedite the solution of problems. Your backgro
BME6360
Neural Engineering
Assignment #1
Spring 2011
Prof. Wheeler
This homework introduces students to the use of Matlab. These may be done with the student version of
Matlab. You do not need to hand these in. However, it is assumed that you will have ga
EEL 6502
Adaptive Signal Processing
Project I
Due March 15, 2012
You will find the data set project1.mat in the course website. This file contains a .mat file with two channel
data labeled desired (d) and input (n). The sampling frequency is 16 KHz.
The p
EEL 6502
Project #2
Due April 24, 2012
Description: This is an adaptive echo cancellation problem, where the goal is to remove the echo from one
signal (the input to an adaptive filter) that corrupts the second signal (desired signal for the adaptive filt
Notes on Wiener Filters
Luis Gonzalo Snchez Giraldo
a
Computational Neuro-Engineering Laboratory
University of Florida
Spring 2012
1
Basic Setting
Here, we will only address the discrete time formulation of the Wiener lter. Consider a widesense
stationary
EEL 6502 ADAPTIVE SIGNAL PROCESSING
Spring 2012
Instructor:
Office:
Phone:
Email
Office Hours:
Jose Principe
EB 451
352-392-2662
principe@cnel.ufl.edu
Tu 2th-3th , Th 3.
TextBook:
Adaptive Filter Theory, Simon Haykin, Prentice-Hall, 2002, ISBN
013-090126-