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December 2007:
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Protein Structure Estimation:
A method of protein secondary structural classification is
proposed. This method uses the mean of the linear prediction derived
cepstral feature vectors of protein sequences numerically mapped using two
different existing amino acid indexing techniques, namely EIIP and
Oobatake-Ooi indexing.
Read more... |
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November 2007:
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J-DSP/Earth Systems Edition:
The ASU award winning Java-DSP software package was adopted in a
collaborative NSF project on Earth Systems. ASU partnered with Johns
Hopkins and Purdue on a project whos PIs are Linda Hinnov from Johns
Hopkins, Andreas Spanias from ASU, and James Ogg from Purdue. This earth
sciences project was funded by the NSF for $575k for three years starting
October 2007.
Read more... |
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May
2007:
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Speech Coding Tools using LabVIEW:
An
educational software tool is developed for teaching speech signal coding theory
and algorithms with the National Instruments LabVIEW™ package. We choose
to use LabVIEW because of its intuitive visual interface, ability to process
real-time signals and capability to interface with DSP hardware.
The tool is based on
the National Instruments LabVIEW™ environment.
Read more... |
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March
2007:
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J-DSP LabVIEW Interface:
The scripting capabilities embedded in the software enable generation of
HTML code and MATLABTM scripts. A new
interface has been developed to allow students and users to move between
Java-DSP and the
National Instruments LabVIEWTM
tool. This interface is made possible using J-DSP Mathscript capabilities
and provides an effective way to utilize several functions across the two
visual programming environments.
Read more... |
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December
2006:
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J-DSP Collaborative
Simulations or Blackboard concept: A new
J-DSP version with software infrastructure for collaborative simulations
has been developed and is under testing. It supports the idea of two
users simultaneously operating on the same J-DSP Environment. An
in-built chat facility provides communication capabilities between the
two users. The infrastructure developed is based on Java Sockets, and
previously developed J-DSP Export Script capability etc.
Click here for more information.... |
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September
2006:
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J-DSP MATLAB Scripts
Version: J-DSP is integrated with a
MATLAB Script export facility. J-DSP Simulation Environment is
translated in to MATLAB code, which can be used directly (or with some
small changes) in the MATLAB Environment.
Click here for the
link.... |
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A book
that uses J-DSP software for use in a DSP class,
entitled DIGITAL SIGNAL PROCESSING :AN INTERACTIVE APPROACH
is in print. It is authored by Prof. Andreas Spanias.
Another book entitled
Audio Signal Processing and Coding
was published. Authors: Andreas Spanias, Ted Painter,
Venkatraman Atti
Info @
Book with Wiley
Click here
for more details |
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Short courses
taught using J-DSP are listed below. Click on the links for details.
DSP
MATLAB for DSP
Speech/Audio Coding
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A new web page
listing all the information related to J-DSP versions under development
and testing process has been developed. It can be accessed at
J-DSP TEST VERSIONS |
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Interfacing J-DSP with Texas Instruments-
DSK Boards: Interfaces of DSP hardware with the NSF funded
Java-DSP (J-DSP) education software for use in undergraduate signals and
systems and DSP classes have been recently made. The interface enables
undergraduate students to design and implement algorithms real time on
DSP hardware using the user-friendly graphical interface of J-DSP.
Simulations involving digital filters and FFTs are first established in
the object oriented J-DSP environment. Through the use of a clever
software interface, a real-time implementation of the algorithm is
activated on the TI DSP Starter Kit C6713. The real-time implementation
enables the students to examine the properties of various signal
processing algorithms using real-life signals. A simple audio
compression scheme that uses the Fast Fourier Transform (FFT) is
developed. The hardware–software interaction of J-DSP with the TI DSK is
also explained to students; an introduction to the architecture and its
peripherals is also part of the learning experience. Pre- and Post-
assessment instruments have been developed and administered. |
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Interfacing J-DSP with Sensor Motes:
Distributed wireless sensor
networks (WSN) are being proposed for implementing smarter environments
for security and other applications. In this project, we present a
collection of Java interfaces for the Berkley sensor motes for use in
tracking and localization research projects. By integrating the mote
interfaces with Java-DSP we can make use of the J-DSP signal processing
functions for real-time analysis of the signals acquired from the
wireless sensors. Connectivity with the signal processing environment of
Java-DSP is seamless and allows the user to program and run sensor
signal processing algorithms from remote locations. Extensions of this
project are planned for remote control of the motes by handheld devices. |
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The
page listing J-DSP Publications has been updated. |
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J-DSP CCLI EMD Project (NSF award 0443137) |
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J-DSP CRCD EI Project (NSF award 0417604) |
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April 2006:
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Click
here for seminars on "An Introduction to Advanced Technology and
Research in signal Processing for communications for Undergraduates"
. This was held on April 14, 2006 at ASU as a part of the CRCD EI
Project. |
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Some Old News:
November 2005:
New Paper publications
A. Spanias and V. Atti, "Interactive
on-line undergraduate laboratories using J-DSP," in IEEE
Trans. on Education Special Issue on Web-based Instruction, vol. 48, no.
4, pp. 735-749, Nov. 2005.
January 2003: New functions have been developed for use in high schools and freshman
engineering courses. These functions include a block that resembles a piano and
generates MIDI tones, a DTMF block that resembles a phone and various echo
blocks for use in audio effects. Read the audio
effects manual for a complete list of J-DSP functions designed
specifically for DSP beginners.
February 2003: The latest J-DSP version (v2b1) is currently used in
ASU's EEE407 undergraduate DSP
class.
March 2003: A new set of functions designed for
speech recognition are currently under development.
The MIDI block dialog window
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