Stone Studio

Links (More links are coming):
P. D. Kovesi.   MATLAB and Octave Functions for Computer Vision and Image Processing.
School of Computer Science & Software Engineering,
The University of Western Australia.   Available from:
http://www.csse.uwa.edu.au/~pk/research/matlabfns/.
Sylvain BOLTZ, PhD – Postdoctoral fellow in Computer Vision, École polytechnique, Laboratoire d’informatique (LIX) , 91128 Palaiseau Cedex, France. There are many code and nice results on line at:
http://www.lix.polytechnique.fr/~boltz/research.php
Richard Nock, Full [...]

Microarray technology allows gene expression profiling at a global level by measuring mRNA abundance. ARMADA (Automated Robust MicroArray Data Analysis) is a MATLAB implemented program with a graphical user interface (GUI) which performs all steps of typical microarray data analysis; starting from importing raw data from several image analysis software outputs as well as text [...]

Selected Datasets
Astronomy

Sloan Digital Sky Survey
The Sunspot Cycle

Biomedical

EEG Data
RR series
Physiobank
AtGenExpress

Blog

Weblogs and social media 2007
Blog06

Climate and environmental data

Earth Trends : data tables.
lifeunderyourfeet: soil data collected from wireless sensors
Envirofacts Data Warehouse
European Climate Assessment&DataSet
National Space Science & Technology Center

Documentation
a data file
another data file

Climatic [...]

Introduction: A layered view of digital communication
Course Features

Video lectures
Lecture notes
Assignments (no solutions)
Exams and Solutions

Course Description
The course serves as an introduction to the theory and practice behind many of today’s communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, 6.451, is offered in the spring.
Topics covered include: digital [...]

The principle of operation of pulse radar is based on time separation between the transmitted and reflected signal and measurement of the time interval between transmitted and received pulses. In FM radar, because continuous radiation is used, separation of transmitted and reflected signals in time is impossible. Hence, reception of information about the range to [...]

Dynamic Range
The radar receiver must be capable of handling large signals from surface reflections and short-range targets and also detect small signals near the noise floor. The ratio of the largest receivable signal to the minimal detectable signal is called the dynamic range and is defined as follows:

Engineering Village
http://people.bath.ac.uk/wj204/documents/EngVil/engage.html
IEEEXplor
This need another tool:
BibConverter v. 3.4.0
See the guide in:
http://people.bath.ac.uk/wj204/documents/Bib_IEEE_Xplor – Engage output/engage.html