EE483 Intro to Digital Signal Processing
Instructor: Richard Leahy, Fall 2015
Homework #1, Due Friday, September 4th.
To be considered on-time, all homeworks must be received by 5.00pm on the dute date. Please
leave homeworks in the EE483 dropbox on the 3
Problem Set 1
Due: 5:00pm PST, Tuesday, January 26th
EE 483, Spring 2016
1. (Practice with sketching) Sketch (by hand) the following discrete signals, where u[n] is the
unit step function, [n] is the unit impulse function, and n is the discrete time varia
EE 483 Digital Signal Processing
Homework 6 Solutions
Term : Fall 2015
Prof. : Richard Leahy
Andrew
EE483 Digital Signal Processing
November 4, 2015
1. (a) fmax fs cfw_2 40kHzcfw_2 20kHz
2
(b) 2 so fs 2 fs 2000 40kHz 40
N
N
k
248
(c) fk fs N 40kHz 2000 49
EE483 Intro to Digital Signal Processing
Instructor: Richard Leahy, Fall 2014
Homework #4, Due Friday Oct 3rd
To be considered on-time, all homeworks must be received by 5.00pm on the dute date. Late
homeworks will not be graded.
[1] (20 points) Determine
Problem Set 2
Due: 5:00pm PST, Tuesday, February 2nd
EE 483, Spring 2016
1. (Linear Difference Equations) The famous sequence Fn of Fibonacci numbers is described by
the recurrence relationship Fn = Fn1 + Fn2 with F0 = 0 and F1 = 1.
(a) Explain how the Fi
EE 483 Digital Signal Processing
Homework 1 Solutions
Term : Fall 2015
Prof. : Richard Leahy
c Andrew
EE483 Digital Signal Processing
September 2, 2015
1. From class we know that
rect(t) sinc(
0
) = sinc(f )
2
also
1
Fcfw_cos(0 t) = Fcfw_cos(2f0 t) = [(f
EE483 Intro to Digital Signal Processing
Instructor: Richard Leahy, Fall 2015
Homework #2, Due Monday, September 14th.
To be considered on-time, all homeworks must be received by 5.00pm on the dute date.
[1] The Fibonacci sequence f(n), consists of values
EE483 Intro to Digital Signal Processing
Instructor: Richard Leahy, Fall 2015
Homework #5, Due Friday October 30th
To be considered on-time, all homeworks must be received by 5.00pm on the dute date. ALl problems 10 points except where stated.
[1] An anal
EE483: Digital Signal Processing
Instructor: Professor Leahy
SAMPLE MIDTERM, FALL 2006
Time Allowed: 80 Minutes
Please answer all questions. For partial credit you must show how you reach your solutions.
Make sure that any sketches you draw are labelled a
Problem 2 (See Appendix for Matlab Code)!
!
Comments about above plots: There are peaks at +/- 1.5, 1.75, 2, and 2.375 Hz, as expected.
Based on the above plots, these peaks seem to be most noticeable when using a Hamming or
Hann window.!
!
Part (c): Chan
EE 483 Digital Signal Processing
Homework 2 Solutions
Term : Fall 2015
Prof. : Richard Leahy
Andrew
EE483 Digital Signal Processing
October 7, 2015
1. The recursive expression of Fibonacci series is:
y(n) = y(n 1) + y(n 2) + x(n), n 0
with initial conditi
EE483 Intro to Digital Signal Processing
Instructor: Richard Leahy, Fall 2010
Homework #2, Due Friday, September 17th.
To be considered on-time, all homeworks must be received by 5.00pm on the dute date.
[1] The Fibonacci sequence f(n), consists of values
EE483 Intro to Digital Signal Processing
Instructor: Richard Leahy, Fall 2010
Homework #5, Due Tuesday October 12th
To be considered on-time, all homeworks must be received by 5.00pm on the dute date.
[1] (10 points) Mitra 5.8
[2] (10 points) Mtra 5.17
[3
P
(Round and Round with Circular Convolution) Let y[n] = x[n] ~ h[n] = 1
k= 1 x[k]h[n k], where
x[n] has length N1 and h[n] has length N2 . Assume that we are only interested in computing the
values of y[n] for Q n P 1 and do not care about the values of
Problem Set 5
Due: 5:00pm PST, Tuesday, February 23rd
EE 483, Spring 2016
P
1. (Round and Round with Circular Convolution) Let y[n] = x[n] ~ h[n] =
k= x[k]h[n k],
where x[n] has length N1 and h[n] has length N2 . Assume that we are only interested in
com
EE483 Intro to Digital Signal Processing
Instructor: Richard Leahy, Fall 2010
Homework #8, Due Monday November 22nd
To be considered on-time, all homeworks must be received by 5.00pm on the dute date.
[1] (10 points)Mitra 7.13
[2](10 points) Mitra 7.7
[3]
Problem Set 6
Due: 5:00pm PST, Tuesday, March 22rd
EE 483, Spring 2016
1. (Spectral Estimation) A continuous-time signal x(t) is bandlimited such that X(j) = 0
whenever | c = 2 (500Hz). This signal is sampled with period T , producing the
discrete-time se
EE483 Intro to Digital Signal Processing
Instructor: Richard Leahy, Fall 2014
Homework #1, Due Monday, September 8th.
To be considered on-time, all homeworks must be received by 5.00pm on the dute date. Please
leave homeworks in the EE483 dropbox on the 3
EE483 Intro to Digital Signal Processing
Instructor: Richard Leahy, Fall 2015
Homework #4, Due Friday Oct 2nd
To be considered on-time, all homeworks must be received by 5.00pm on the dute date. Late
homeworks will not be graded.
[1] (20 points) Use the f
EE483 Intro to Digital Signal Processing
Instructor: Richard Leahy, Fall 2010
Homework #4, Due Monday Oct 4th
To be considered on-time, all homeworks must be received by 5.00pm on the dute date. Late
homeworks will not be graded.
[1] (20 points) Determine
EE483 Intro to Digital Signal Processing
Instructor: Richard Leahy, Fall 2010
Homework #6, Due Thursday October 28th
To be considered on-time, all homeworks must be received by 5.00pm on the dute date.
[1] (10 points) The window w(n) is generated by convo
EE 483 Digital Signal Processing
Homework 5 Solutions
Term : Fall 2015
Prof. : Richard Leahy
Andrew
EE483 Digital Signal Processing
October 17, 2015
1. The following derivation is true for any integer L 1 where we zero-pad the length N signal to
length LN
Content-Based Image Retrieval - Approaches and Trends
of the New Age
Ritendra Datta
Jia Li
James Z. Wang
The Pennsylvania State University, University Park, PA 16802, USA
[email protected], [email protected], [email protected]
ABSTRACT
The last decade ha
Stuckhqlms
cfw_IREVEISZYQE STATISTISKA INSTITUTIONEN VTZO 13
Written exam in Statistical Inference, ST703A, 7.5 ECTS credits
Friday, 22nd March 2013, 9:00 14:00
Time allowed: FIVE hours
Examination Hall: Virtasalen
You are required to answer all nine ques
Signal & Image Processing : An International Journal (SIPIJ) Vol.3, No.1, February 2012
Content Based Image Retrieval using
Color and Texture
Manimala Singha* and K.Hemachandran$
Dept. of Computer Science, Assam University, Silchar
India. Pin code 788011
Ritika Hirwane et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 3 (1) , 2012, 3260 - 3263
Fundamental of Content Based Image
Retrieval
Ritika Hirwane
Lecturer ,GSMCOE,pune
Abstract -The aim of this paper is to
2
Modes of Convergence
2.1 Introduction
In this chapter we discuss dierent types of convergence in probability and
statistics. Types of convergence have already been introduced. They are convergence in probability and convergence in distribution. In addit