'Signal spectrum' presentation slideshows

Introduction to Mobile Communications

Introduction to Mobile Communications. TCOM 552, Lecture #3 Hung Nguyen, Ph.D. 18 September, 2006. Outline. Channel Capacity Signal-to-Noise Ratio (SNR) Multiplexing Digital Modulation Analog Modulation Coding Simplex and Duplex Transission. About Channel Capacity.

930 views • 77 slides

Data and Computer Communications

944 views • 54 slides

ECE4331, Fall, 2009

ECE4331, Fall, 2009. Zhu Han Department of Electrical and Computer Engineering Class 3 Sep. 1 st , 2009. Review of last class. Random Process Stationary, Ergodic Mean, correlation, covariance, power spectrum density Gaussian Process Noise Central limit theorem Narrowband Noise

631 views • 42 slides

frequency

C. Shannon: Communication in Presence of Noise combination of channel and signal spectrum should be as flat (as random-like) as possible. energy of the signal. level of noise in the channel. frequency. energy of the signal. energy of the signal. level of noise in the channel.

504 views • 36 slides

Monitoring p-p collision rates at LHC

Monitoring p-p collision rates at LHC. Monitoring p-p collision rates at LHC. E. Bravin CERN AB-BI. Many inputs from LBNL - US-LARP. Introduction. The aim of LHC is to produce collisions inside the 4 detectors: ATLAS , ALICE , CMS and LHC-b

359 views • 23 slides

The Relation Between Speech Intelligibility and The Complex Modulation Spectrum Steven Greenberg International Computer

The Relation Between Speech Intelligibility and The Complex Modulation Spectrum Steven Greenberg International Computer Science Institute 1947 Center Street, Berkeley, CA 94704, USA http://www.icsi.berkeley.edu/~steveng steveng@icsi.berkeley.edu Takayuki Arai

319 views • 18 slides

Reduction of Additive Noise in the Digital Processing of Speech

Reduction of Additive Noise in the Digital Processing of Speech. Avner Halevy AMSC 663 Mid Year Progress Report December 2008 Professor Radu Balan. Brief Reminder. Goal: reduce additive white Gaussian noise degrading a speech signal Use short time analysis (frames) Algorithms:

340 views • 18 slides