New User Special Price Expires in

Let's log you in.

Sign in with Facebook


Don't have a StudySoup account? Create one here!


Create a StudySoup account

Be part of our community, it's free to join!

Sign up with Facebook


Create your account
By creating an account you agree to StudySoup's terms and conditions and privacy policy

Already have a StudySoup account? Login here

Intro Digital Signal Process

by: Miss Felicita Stiedemann

Intro Digital Signal Process ECE 714

Miss Felicita Stiedemann
GPA 3.8

W. Miller

Almost Ready


These notes were just uploaded, and will be ready to view shortly.

Purchase these notes here, or revisit this page.

Either way, we'll remind you when they're ready :)

Preview These Notes for FREE

Get a free preview of these Notes, just enter your email below.

Unlock Preview
Unlock Preview

Preview these materials now for free

Why put in your email? Get access to more of this material and other relevant free materials for your school

View Preview

About this Document

W. Miller
Class Notes
25 ?




Popular in Course

Popular in Computer Engineering

This 3 page Class Notes was uploaded by Miss Felicita Stiedemann on Thursday October 29, 2015. The Class Notes belongs to ECE 714 at University of New Hampshire taught by W. Miller in Fall. Since its upload, it has received 10 views. For similar materials see /class/231688/ece-714-university-of-new-hampshire in Computer Engineering at University of New Hampshire.

Similar to ECE 714 at UNH

Popular in Computer Engineering


Reviews for Intro Digital Signal Process


Report this Material


What is Karma?


Karma is the currency of StudySoup.

You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!

Date Created: 10/29/15
Spectral Properties of Discrete Sequences The Discrete Time Fourier Transform The Discrete Time Fourier Transform oo Xw DTFTxn E Z xne39j nz oo Where Xw is the Fourier frequency spectrum ofthe discrete time signal xn e39jwn cosam j sinam Real Xw Z xn cosam n oo Imag Xw Z xn sinam n oo f physical time is given by t t n n 5 fs then the normalized frequency is defined as w2nfts2n where f is the physical frequency in Hz Note that the true Fourier spectrum as expressed in the DTFT can not in general be determined since the discrete sum is infinite in extent and the frequency variable on is continuous Thus quotspectral estimationquot is an important topic in DSP Periodicity ofthe Discrete Time Fourier Transform Since n is always an integer Z rmxm cosam and Z rm xn sinam are periodic in a with period a 2H for any signal xn Thus the Fourier spectrum Xw of any discrete time signal xn can only carry unique information within a normalized frequency bandwidth of Au 2n Since f w f52 n this corresponds to a physical frequency bandwidth of Af f5 Symmetry of the Discrete Time Fourier Transform Real X w Z xn cos am Z xn cosam RealXw Imag X w Z xn sin am Z xn sinam Imag Xw If the signal xn is real valued the real part of Xw has even symmetry centered at a 0 while the imaginary part of Xw has odd symmetry in centered at a 0 However this means that Xw in the interval 139 S a S 0 is totally determined by Xw in the interval 0 S a S n Combined with the periodicity described above this means that the Fourier spectrum Xw of any real valued discrete time signal xn can only carry unique information within a normalized frequency bandwidth of Au 1139 This corresponds to a physical frequency bandwidth of Af JCS2 This is one form of the well known Nyquist sampling criteria Convolution and Multiplication Discrete convolution xn wn E 2k xkwn k DTFTxn Xw DTFTwn Ww DTFTxn wn DTFT Z xkwn 10 kz oo DTFTxn wn Z lt Z xkwn kgt e39jwn nz oo k oo DTFT lel W00 Z lt Z xkwn kgt ej ke39j k nz oo k oo DTFTxn wn Z xke39j klt Z wn e39j lgt kz oo nlzn kz m DTFTxn wn XwWw The DTFT of the convolution oftwo sequences in the time domain is equal to the product in the frequency domain of the DTFT s of the two individual sequences It is less easy to show but DTFTxnwn Xw Ww The DTFT of the product oftwo sequences in the time domain is equal to the circular convolution in the frequency domain of the DTFT s of the two individual sequences LTI Systems xn gt LTI System gt yn 6n gt LTI System gt hn xn Z xk6n k k 3101 Z xkhn k 9601 M k and Yw XwHw where DTFThn Hw The Fourier spectrum ofthe output of an LT system is equal to the Fourier spectrum of the input times the Fourier spectrum of the impulse response of the system Thus Hw the DTFT of the impulse response ofa discrete time LT system expresses the effects of the LT system on the magnitude and phase of any input signal as a function of frequency and is called the frequency response ofthe system


Buy Material

Are you sure you want to buy this material for

25 Karma

Buy Material

BOOM! Enjoy Your Free Notes!

We've added these Notes to your profile, click here to view them now.


You're already Subscribed!

Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'

Why people love StudySoup

Jim McGreen Ohio University

"Knowing I can count on the Elite Notetaker in my class allows me to focus on what the professor is saying instead of just scribbling notes the whole time and falling behind."

Amaris Trozzo George Washington University

"I made $350 in just two days after posting my first study guide."

Bentley McCaw University of Florida

"I was shooting for a perfect 4.0 GPA this semester. Having StudySoup as a study aid was critical to helping me achieve my goal...and I nailed it!"


"Their 'Elite Notetakers' are making over $1,200/month in sales by creating high quality content that helps their classmates in a time of need."

Become an Elite Notetaker and start selling your notes online!

Refund Policy


All subscriptions to StudySoup are paid in full at the time of subscribing. To change your credit card information or to cancel your subscription, go to "Edit Settings". All credit card information will be available there. If you should decide to cancel your subscription, it will continue to be valid until the next payment period, as all payments for the current period were made in advance. For special circumstances, please email


StudySoup has more than 1 million course-specific study resources to help students study smarter. If you’re having trouble finding what you’re looking for, our customer support team can help you find what you need! Feel free to contact them here:

Recurring Subscriptions: If you have canceled your recurring subscription on the day of renewal and have not downloaded any documents, you may request a refund by submitting an email to

Satisfaction Guarantee: If you’re not satisfied with your subscription, you can contact us for further help. Contact must be made within 3 business days of your subscription purchase and your refund request will be subject for review.

Please Note: Refunds can never be provided more than 30 days after the initial purchase date regardless of your activity on the site.