'Shannon capacity' presentation slideshows

MSIT 413: Wireless Technologies Week 4

MSIT 413: Wireless Technologies Week 4. Michael L. Honig Department of EECS Northwestern University. January 2016. Why Digital Communications?. 1G (analog) ? 2G (digital) ? 3G (digital). Digitized voice requires about 64 kbps, therefore the required bandwidth

1.31k views • 131 slides

Physical Layer

Physical Layer. Overview of physical layer Channel limitation Modulation/demodulation. Introduction. Physical layer. What You Need for Better Understanding. Representation of Information. Digital representation Information that occurs naturally in digital form data files or image files

2.6k views • 81 slides

Physical Layer

Physical Layer. Overview of physical layer Channel limitation Modulation/demodulation. Introduction. Physical layer. What You Need for Better Understanding. Representation of Information. Digital representation Information that occurs naturally in digital form data files or image files

959 views • 81 slides

EE360: Multiuser Wireless Systems and Networks Lecture 3 Outline

EE360: Multiuser Wireless Systems and Networks Lecture 3 Outline. Announcements HW0 due today Project proposals due 1/27 Makeup lecture for 2/10 (previous Friday 2/7 at lunch?) Duality between the MAC and the BC Capacity of MIMO Multiuser Channels Spread Spectrum Multiuser Detection

1.01k views • 78 slides

MITP 413: Wireless Technologies Week 4

MITP 413: Wireless Technologies Week 4. Michael L. Honig Department of ECE Northwestern University. April 2005. Why Digital Communications?. 1G (analog) ? 2G (digital) ? 3G (digital). Digitized voice requires about 64 kbps, therefore the required bandwidth

743 views • 74 slides

Data and Signals

Kingdom of Saudi Arabia Prince Norah bint Abdul Rahman University College of Computer Since and Information System NET331. Data and Signals. T.Najah Al_Subaie. Chapter 3. Data and Signals. Periodic and Non-Periodic signals. Period and Frequency. Digital S ignals.

877 views • 56 slides

Multi-Terminal Information Theory Problems in Sensor Networks

Multi-Terminal Information Theory Problems in Sensor Networks. Gregory J Pottie Professor, Electrical Engineering Department Associate Dean, Research and Physical Resources Deputy Director, NSF Center for Embedded Networked Sensing (CENS)

622 views • 51 slides

Mutual Information as a Tool for the Design, Analysis, and Testing of Modern Communication Systems

712 views • 51 slides

EE 359: Wireless Communications

679 views • 45 slides

Lecture 3

Lecture 3. Review of Lecture 2 Signal to Noise Ratio Analog and digital data transmission Transmission Impairments Channel capacity Nyquist bandwidth Shannon Capacity Transmission Medium. A in cos 2 ? ft. A out cos (2 ?ft + ?( f)). Channel. t. t. A(f) =. A ou / A in.

817 views • 44 slides

Center for Science of Information

Center for Science of Information. 2012 External Advisory Board: Overview & Management. Outline. Science of Information Center Mission Integrated Research Education and Diversity Knowledge Transfer Future Activities Management STC Team STC Staff Management Structure Budget.

574 views • 43 slides

Chapter 2 The Physical Layer

The lowest layer of reference model. It defines the mechanical, electrical, and timing interfaces to the network. Chapter 2 The Physical Layer. BANDWIDTH AND INFORMATION CAPACITY.

537 views • 30 slides

Digital versus film imaging The issue is channel capacity

Digital versus film imaging The issue is channel capacity. Norman Koren Imatest Boulder, Colorado www.imatest com. Film and digital cameras Image quality and Shannon information capacity Sharpness and tricks for enhancing it Noise and tricks for reducing it

360 views • 24 slides

Data Communication and Networking

Data Communication and Networking . Physical Layer and Media. Objectives. We will start our discussion from the Bottom Most Layer and it is called the Physical Layer.

338 views • 21 slides

310 views • 16 slides

Generalized Capacity of Constrained Systems

Generalized Capacity of Constrained Systems. Syed Ali Jafar and Sriram Vishwanath Wireless Systems Laboratory. Outline. Introduction and motivation. Polynomial (poly.) and no-growth (n-g.) capacity. Algebraic characterization of poly. and n-g. capacity. Conclusion. Introduction.

261 views • 13 slides

Space-Time Coded Modulation for MIMO Systems

Space-Time Coded Modulation for MIMO Systems. ???????? ?? ???????? ????? M9121014 ???????. Outline. 1 ? The Framework & System Model 2 ? Comparison of Space-Time Mod. Methods in Multipath Channels 3 ? Comparison of Space-Time Mod.

234 views • 11 slides

363 views • 11 slides

269 views • 10 slides

II. Modulation & Coding

II. Modulation & Coding. Design Goals of Communication Systems. Maximize transmission bit rate Minimize bit error probability Minimize required transmission power Minimize required system bandwidth Minimize system complexity, computational load & system cost Maximize system utilization.

281 views • 10 slides