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In this paper we explore the efficacy of simplex projection for land cover (LC) information mining. LC is the observed biophysical cover on the surface of the Earth and describes how much of a region is covered by forests, wetlands, impervious surfaces, etc. LC information can be extracted by processing remotely sensed data acquired through sensors mounted either on space borne satellites or aircrafts...
Linear spectral unmixing remains an important subject of research in image processing community. It deals with disintegrating a pixel spectrum into its constituent spectra through a mixture model assuming that observed data are linear mixtures of two or more objects, representing a mixed pixel. The linear mixture model allows a number of target materials (classes) to be present, each contributing...
Adaptive optics is used in modern telescope to compensate the wavefront aberrations introduced by the Earth's atmosphere. A continuous facesheet MEMS deformable mirror owing to its advantages is gaining popularity in the area of adaptive optics. The mirror layer is influenced by a matrix of force actuators each applying a point force for generating a desired shape. For small deformations this layer...
SRAM is the most important part of memory designs and are indispensable in several applications that include System on Chips (SoCs). Following the Moore's law, power dissipation and stability has become a major area of concern in sub-micron SRAM cell design with continuous technology scaling. In this paper, power gating technique is proposed to reduce the leakage power and energy consumption in the...
Modern Electronic Warfare systems need to provide real time location information in a consistent, unambiguous and timely manner. The time difference of arrival (TDOA) techniques used for location determination make use of the method of hyperbolic multilateration. One technique which is widely used for solving non linear hyperbolic equations is the Taylor Series method. This paper discusses the convergence...
Fetal Electrocardiogram (FECG) signal, non-invasively taken from the Abdominal Electrocardiogram (AECG) of a pregnant woman is a efficient diagnostic tool for determining congenital cardiac defects. Clinically significant information in the Fetal Electrocardiogram signal is often masked by Maternal Electrocardiogram (MECG) considered as the most predominant interference, power line interference, and...
A low complexity VLSI Architecture has been proposed that removes the random valued impulse noise having grey scale values from [0–255], found more while transmitting images. Guard filter plays a vital role in reconstructing the pixel's intensity values. Image compression performed here uses a special algorithm that reduces the power consumption.
Modern 3-D multiprocessor systems-on-chip (MP-SoC) incorporate processing elements (PEs) and memories within die-stacks interconnected using through-silicon vias (TSVs). The resulting power density of these systems necessitates the inclusion of thermal effects in the architecture space exploration stage of the design process. The number and placement of TSVs influences the thermal conductivity in...
Logging-while-drilling (LWD) and measurement-while-drilling (MWD) applications have prompted the development of acoustic telemetry for retrieving downhole data. In this paper, a multilevel frequency shift keying (ML-FSK) modulation transceiver with pseudo-coherent differential energy detection is proposed and optimized for such acoustic telemetry applications. The motivation of employing the proposed...
In the satellite images the noise is present such as mist, clouds etc., to remove the noise the Haar wavelet transforms are applied. Using the Image segmentation algorithm the major issue Deforestation is evaluated by comparing the image taken from the year 1939 and 2000. Deforestation is a serious issue that most nations face today. Deforestation is primarily due to the urbanization. Most nations...
Low voltage operation can markedly reduce the energy requirements of digital circuits; however, in the face of variability it also greatly reduces the reliability and yield. In order to mitigate this effect, device dimensions can be increased and adaptive body biasing can be employed, but at the cost of potentially increasing energy per operation. This paper presents a new framework for determining...
Present day mobile robots are meant for very precise applications. For very precise applications of mobile robots, accurate estimation of inertial parameters depends upon the accuracy of mathematical model & as well as accuracy (error characteristics) of the individual sensor measurements. Multiple sensors add redundancies to the system as well as it helps to estimate the system states accurately...
Present day mobile robots are meant for very precise applications. For very precise applications of mobile robots, accurate estimation of inertial parameters depends upon the accuracy of mathematical model & as well as accuracy (error characteristics) of the individual sensor measurements. Sensor measurements are prone to various errors, which necessitates the detail modeling of sensors for estimation...
This paper deals with the design and analysis of Ternary Content Addressable Memory using 180nm technology. The main aim of the TCAM is to perform the search operation using match line (ML). Ternary content addressable memories (TCAMs) are hardware-based parallel lookup tables with bit-level masking capability. They are attractive for applications such as packet forwarding and classification in network...
Tracking a ballistic target in its reentry mode by considering the radar measurements is a highly complex problem in nonlinear filtering. Kalman Filter (KF) is used to estimate the position of target when the measurements are corrupted with noise. If the measurements are nonlinear (radar measurements) then Extended kalman filter (EKF) is used. For obtaining reliable estimate of the target state, filter...
The non-ideal nature of package level interconnects gives rise to issues such as crosstalk induced noise and simultaneous switching noise which affect the reliable operation of high performance digital systems. We examine the causes of various signal losses that occur in the package level interconnect, and with an equivalent circuit model, highlight the effects of crosstalk induced noise and detail...
In this paper, we propose a framework of general genre (e.g., action, comedy, drama, documentary, musical, etc...) movie video abstraction scheme for embedded devices based on pure audio. The proposed algorithm does chaptering of multi-genre movie videos by detecting silence, environmental noise, pure speech, music (pure instrumental music and music with vocals, i.e., songs), and speech with back...
We have designed a high resolution microseismometer by combining a low-resonant-frequency, high-quality-factor suspension with a sensitive lateral capacitive transducer under electromagnetic feedback control. It has been fabricated and tested to demonstrate for the first time a micromachined seismometer capable of resolving the Earth's ambient seismicity and with the best acceleration resolution of...
In this paper, voice signal compression (VSC) is a technique that is used to convert the voice signal into encoded form and when compression is required, it can be decoded at the closest approximation value of the original signal. This work present a new algorithm to compress voice signals by using an ldquoadaptive wavelet packet decomposition and psychoacoustic modelrdquo. The main goals of this...
In this paper, voice signal compression and spectrum analysis (VSCSA) is a technique that is used to compress transparent high quality voice signals upto 45% - 60% of the source file at low bit rate 45 kbps with same extension (i.e. .wav to .wav), then voice spectrum analysis (VSA) is started. Voice signal compression (VSC) is done by using adaptive wavelet packet a tool of MatLab for decomposition...
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