-Power point Presentation on Hyperfine structure of spectral lines ....etc

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Spectral and nonlinear optical characteristics of nanocomposites
of ZnO“CdS
Litty Irimpan,
a
V. P. N. Nampoori, and P. Radhakrishnan
International School of Photonics, Cochin University of Science and Technology, Cochin,
Kerala 682022, India
Received 21 December 2007; accepted 6 March 2008; published online 8 May 2008
In this article, we present the spectral and nonlinear optical properties of ZnO“CdS nanocomposites
prepared by colloidal chemical synthesis. The optical band gap E
g
of the material is tunable
between 2.6 ....etc

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LOYOLA INSTITUTE OF TECHNOLOGY AND MANAGEMENT
ELECTRONICS AND COMMUNICATION ENGINEERING
TECHNICAL SEMINAR


ABSTRACT
Hyper spectral imaging, or imaging spectroscopy, combines the power of digital imaging and spectroscopy. For each pixel in an image, a hyper spectral camera acquires the light intensity for a large number of contiguous spectral bands. Every pixel in the image thus contains a continuous spectrum and can be used to characterize the objects in the s ....etc

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SEMINAR ON
DESIGN OF A HIGH-SPEED SPECTRAL SIGNAL PROCESSING SYSTEM WITH A FLOATING-POINT DSP FOR FT-IR SPECTROMETER


SUBMITTED BY:
ANOOP E M
ROLL NO: 11
S7T2


ABSTRACT
In this seminar paper, DESIGN OF A HIGH SPEED SIGNAL PROCESSING SYSTEM WITH A FLOATING-POINT DSP FOR FTIR SPECTROMETER a new Spectral Signal Processing System (SSPS), which uses a high-speed floating-point digital signal processor (DSP) as its central processor, is presented. The main application of the system is in Fourier transform in ....etc

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that is my project. i want a clear analysis and design(with UML diagrams) for my project.
plz send me if u know. highly i need it ....etc

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Presented By,
Shahdadpuri Sunny
Bhavsar Ripal
Prajapati Sahil
Soni Akshit
Mangukia Saurabh


What is Spectral density??
Spectral density is a positive real function of a frequency variable associated with a stationary stochastic process, or a deterministic function of time.
Spectral density has dimension of power per HZ or energy per HZ.
The spectral densities are flat, i.e. independent of frequency.
Flat spectral density:-
• Spectral density is often called the spectrum of the signal .
....etc

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Abstract—We explore two different threading approaches on a graphics processing unit (GPU) exploiting two different characteristics of the current GPU architecture. The fat thread approach tries to minimize data access time by relying on shared memory and registers potentially sacrificing parallelism. The thin thread approach maximizes parallelism and tries to hide access latencies. We apply these two approaches to the parallel stochastic simulation of chemical reaction systems using the stochastic simulation algorithm (SSA) by Gillespie ....etc

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Development of Spectral Domain Low Coherence Interferometry for the Measurement of Multilayer Structure

By
Anup Kumar Sharma
(2008JID2939)

Under The guidance of
Dr. D. S. Mehta


Instrument Design & Development Centre
Indian Institute of Technology
Delhi

Contents
Basic principle of Low Coherence Interferometry (LCI).
Low coherent sources
Coherence gating
Fourier Domain Low Coherence Interferometry
Objective
Realization of Spectral Domain LCI using Michelson Interferometer
Work d ....etc

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INTRODUCTION
function by decomposing it into a weighted sum of much simpler sinusoidal component functions sometimes referred to as normal Fourier modes, or simply modes for short. The weights, or coefficients, of the modes, are a one-to-one mapping of the original function. These modal coefficients are sometimes themselves confusingly referred to as modes for brevity, especially in physics literature. Fourier series serve many useful purposes, as manipulation and conceptualization of the modal coefficients are oft ....etc

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This article is presented by:
K. R. RAMAKRISHNAN
N. SRINIWASA

ABSTRACT

New technique for two-dimensional (2-D) spectral estimation of a stationary random field (SRF) is investigated in this paper. This is based on the extension of the Radon transform theory to stationary random fields (SRF’s), proposed by Jain and Ansari . Using the Radon transform, the 2-D estimation problem is reduced to a set of onedimensional (1-D) independent problems, which could then be solved using 1-D linear prediction (LP) or by any other high ....etc

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