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Transcript of A Short term Training program (STTP) on SELECT …ghrce.raisoni.net/Report on STTP.pdfA Short term...
A Short term Training program (STTP)
on
SELECT TOPICS IN SIGNAL PROCESSING AND
MACHINE INTELLIGENCE WITH HANDS-ON
During 23rd
May 2016 to 3th
Jun 2016
College of Engineering Pune,Pune.
Co-ordinator: - Dr.VibhaVyas
Professor ,Electronics & Telecommunication Engg.,COEP
:
Attendant By.
1. Prof. Madhuri Babar (Assistant Professor Electronic & Telecommunication Engg.Department).
2. Prof.WaniPatil– (Assistant Professor Electronic Engg.Department.)
Day 1: 23rd May 2016
Capturing and Visualising the feeling of Virtual Touch Dr.SubhasisChaudhuri, Deputy Director(AIA),IIT Bombay
Human haptics-study of human sensing and manipulation through touch.
Machine haptics-study of design, construction, anduse of machine to replace or augment
human touch.
Computer haptics-deals with models and behavior of virtual objects together with
rendering algorithm for real time interaction
About Touching
Unlike others, touch is an active sensing mechanism.
Based on force feedback
Two types –kinesthetic and tactile
Our study is on kinesthetic aspect.
Haptic Rendering
The process associated with generating and displaying the touch and feel of virtual object to
human operator through a force reflecting device
Illustration of Haptic Rendering
(a)Mesh model of hand .(b)Visually and haptically rendered hand.
Introduction to pattern recognition Prof.PritiP.Rege,HoD (E&TC),COEP
What is pattern recognition?
“The assignment of a physical object or event to oneof several prespecified
categeries” -- Duda& Hart
• A pattern is an object, process or event that can be given a name.
• A pattern class (or category) is a set ofpatterns sharing common attributes and
usuallyoriginating from the same source.
• During recognition (or classification) given objects are assigned to prescribed
classes.
• A classifier is a machine which performs classification.
Pattern Classifiers and Measurement Metrics in Machine Learning
Prof.AshutoshMarathe,Professor, VIT College, Pune
Origin of Pattern Classifiers
Unsupervised Approach
• The objective is to discover the structure of the data set.
• Searching for Groups in the data and characteristics , making the
objects similar within group and different across the group.
• Different algorithms come up with different structures for the same
data.
• No ground truth to compare result against and „goodness‟ of results is
„subjective estimate‟ of the user
Supervised Approach
• Each object in the data set comes with a class label • Task is to train a classifier to do the labeling sensibly. • Designer supplies the machine with learning skills and presents the
labeled data to it. • The classification knowledge learned by the classifier would be
obscure. • The recognition accuracy of the classifier is the judge of its adequacy.
Day 2: 24th May 2016
Towards evolution of basis functions for data analytics
Dr.AdityaAbhankar,Dean,Faculty of Technology ,SavitribaiPhule,Pune University
PCA Algorithm
Zero mean data
Represent system using statistics
Use covariance (correlation)
Find out eigenvalues and eigenvectors
Represent in optimized way!
Understand dimensionality reduction
Use for applications like face recognition
Summary
Basis functions are the key pointidentifiers
All classification techniques eventually boildown to finding out basis functions
Not all systms have basis functions
Amongst different bases, it is important tofind out the most important basis
function
Speech Processing and Applications
Dr. S. P. Mahajan,Dept. of Electronics and Telecommunication ,College of Engineering Pune
• Speech wave conveys several kind of information
– Linguistic information that indicates the meaning speaker
wishes to impart.
– Individual information representing who is speaking.
– Emotion of the speaker
• Comparison of written language Vs. Spoken language.
– Preservation
– One way / Two way communication
Day 4: 26th May 2016
Wavelets Dr.ManeshKokre, Department of Electronics and Telecommunication Engineering ,S.G.G.S. Institute
of Engg and Technology, Nanded
What is a Transform and Why Do we Need One ?
How Does FT Work ?
The Wavelet Transform
Overcomes the present resolution problem of the STFT by using a variable length
window
Analysis windows of different lengths are used for different frequencies:
Analysis of high frequencies Use narrower windows for better time resolution
Analysis of low frequencies Use wider windows for better frequency
resolution
This works well, if the signal to be analyzed mainly consists of slowly varying
characteristics with occasional short high frequency bursts.
Heisenberg principle still holds!!!
The function used to window the signal is called the wavelet
Scale & Translation
The Mother of All Oscillatory Little Basis Functions
Continuous Wavelet Transform
Day 5: 27th May 2016
Affective Learning: Introduction and physiological signals
Suhas S. GajrePh.D.(IIT Delhi) Dept. of Electronics and Telecommunication Engineering
Shri Guru GobindSinghji Institute of Engineering and Technology, Nanded
InterPersonalNeuroBiology
Dr. R. R. Manthalkar Dept. of Electronics and Telecommunication Engineering
Shri Guru GobindSinghji Institute of Engineering and Technology, Nanded
Day 6: 28th May 2016
Signal Transforms
Dr.SumantraDutta Roy Department of Electrical Engineering
Indian Institute of Technology Delhi
Day 7: 29th May 2016
K-Means, MixtureModels & EM
Dr.SumantraDutta Roy Department of Electrical Engineering
Indian Institute of Technology Delhi
HANDS-ON LABORATORY SESSIONS
Day 3:25th
May 2015
Wavelet Group Ltd.
Blackfin Embedded Symmetric Multiprocessor
ADSP-BF561
GENERAL DESCRIPTION The ADSP-BF561 processor is a high performance member of the Blackfin family
of products targeting a variety of multimedia and telecommunications applications.
At the heart of this device are two independent Analog Devices Blackfin
processors. These Blackfin processors combine a dual-MAC state-of-the-art
signalprocessing engine, the advantage of a clean, orthogonal RISC-like
microprocessor instruction set, and single instruction, multiple data (SIMD)
multimedia capabilities in a single instruction set architecture. The ADSP-BF561
device integrates a general-purpose set of digital imaging peripherals.The ADSP-
BF561 processor has 328K bytes of on-chip memory.
Each Blackfin core includes:
• 16K bytes of Instruction SRAM/Cache
• 16K bytes of Instruction SRAM
• 32K bytes of Data SRAM/Cache
• 32K bytes of Data SRAM
• 4K bytes of Scratchpad SRAM
Additional on-chip memory peripherals include:
• 128K bytes of Low Latency On-Chip L2 SRAM
• Four-Channel Internal Memory DMA Controller
• External Memory Controller with Glueless Support for SDRAM, Mobile
SDRAM, SRAM, and Flash.
Day 8:1st
June 2016
EdGate Technologies Pvt. Ltd
OMAP-L138 DSP+ARM9Development Kit
Key features and benefits
• OMAP-L138 DSP+ARM9 software and development kit to jump-start real-time
signal processing innovation
• Reduces design work with downloadable and duplicable board schematics and
design files
• Fast and easy development of applications requiring fi ngerprint recognition and
face detection with embedded analytics
• Low-power OMAP-L138 DSP+ARM926EJ™ processor
• Scalable platform enables a variety of performance, power, peripheral and price
options
• 456-MB TMS320C674x DSP
• 456-MB ARM926EJ processor
• 128-MByte DDR2 SDRAM
• 128-MByte NAND Flash memory
• Micro SD/MMC slot
• USB and SD connectors
• Wide variety of peripheral interfaces
• Line in, headphone out, MIC-in ports
• Expansion connectors
• Includes Code Composer Studio™ IDE v4.0
• Full documentation on CD-ROM
Technical details The OMAP-L138 development kit is based on the OMAP-L138 DSP+ARM9 processor, a low-power applications processor based on an ARM926EJ-S and a TMS320C674x DSP core. It provides significantly lower powerthan other members of the TMS320C6000™ platform of DSPs. The OMAP-L138 processor enables developers to quickly design and develop devices featuring robust operating systems support and rich user interfaces with a fully integrated mixed-processor solution. The dual-core architecture of the device provides benefits of both DSP and Reduced InstructionSet Computer (RISC) technologies, enabling applications requiring a high-level operating system and more intensive digital signal processing.
With a wide variety of standard interfaces for connectivity and storage, the OMAP-L138 development kit enables developers to easily bring audio, video and other signals onto the board. Expansion headers allow customers to extend the functionality of the kit to include a camera sensor from Leopard Imaging or an LCD screen. Included interfaces are: • USB serial port • Fast Ethernet port (10/100 Mbps) • USB host port (USB 1.1) • USB OTG port (USB 2.0) • SATA port (3 Gbps) • VGA port (15-pin D-SUB) • LCD port (Beagleboard-XM connectors) • 3 audio ports 1 line in 1 line out 1 MIC in
• Composite in (RCA jack) • Leopard Imaging camera sensor input (32-pin ZIP connector) • Authentic fi ngerprint sensor
Easy to write and optimize DSP code Designers can readily target the OMAP-L138processor through TI’s robust and
comprehensive Code Composer Studio IDE. CCStudio IDE includes an efficient
optimizing C/C++ compiler assembler, linker, debugger; integrated CodeWright
editor with CodeSense technology for faster code creation; data visualization; a
profiler and a flexible project manager. CCStudio IDE also includes a DSP/BIOS™
real-time kernel and Chip SupportLibrary
Day 9 :2nd
June 2016
Benchmark Electronics Pvt.Ltd.
Matrox InspectorLibrary(MIL)
Interactive imaging Matrox Inspector is an interactive Windows®application for image
captureprocessing, analysis, display and archiving. Based on the Matrox Imaging
Library (MIL), it provides point-and-click access to an extensive set of optimized
functions for image processing, pattern recognition, blob analysis, edge extraction
and analysis, measurement, character recognition, 1D and 2D code reading,
calibration, and image compression. Matrox Inspector is designed to meet the
needs of MIL developers and end-users alike. MIL users employ Matrox Inspector
as a companion tool to facilitate application development by having access to all
MIL tools within a single interactive work environment. End-users, such as
scientists, technicians and engineers, rely on Matrox Inspector to perform and
automate image enhancement and measurement tasks.
Key features easy-to-use interactive work environment for Microsoft ®Windows®2000
and Windows ® XP
directly acquire images from a variety of video sources using Matrox
Imaging hardware
load and save images including sequences in many file formats extensive set
of accurate and robust image processing and analysis tools
calibrate images to correct visual distortions and perform measurements in
real-world units
operations are performed live or on archived images including sequences
track operation statistics (analysis results and speed)
configure analysis tools for use with Matrox Imaging Library (MIL)
applications
annotate images with text and graphics
control from and exchange data with other Microsoft ® Windows ®
applications
automate routines with Microsoft ® VBA compatible scripting
In addition to displaying images, Matrox Inspector presents processing and
analysis results as tables and/or graphs, including trend and distribution, which are
useful for tuning operation settings. The application also gives users the ability to
benchmark operations for accuracy and repeatability. In addition to making
annotations, users can draw into images to perform measurements as well as touch-
up and manually segment images.
Additional processing and analysis utilities
MIL includes a collection of interactive Windows-based utilities for each key
image processing and analysis tool. Intended for configuration and
experimentation, each tool supports live image capture and processing as well as
file I/O for individual or sequences of images. Tooltips over dialog controls
provide a convenient cross-reference to actual MIL function calls.
Griminess ofSTTP
Laboratory sessions
La
Rec
Group photo with all participatent of STTP