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Photo plethysmography (PPG) uses infrared light to measure the blood volumetric changes occurring in the various parts of the body. PPG is non-invasive, inexpensive, and convenient diagnostic tool. Photo plethysmography (PPG) sensor is one among the wide variety of optical sensors available. PPG signal is information source related to cardio-pulmonary system. Traditionally, it's been used to measure...
The fundamental operations of a Finite Impulse Response (FIR) digital filter are multiply and accumulate (MAC). Thus, the complexity of the filter largely depends on the complexity of the multiplier blocks. There exist several techniques to efficiently implement the multiplier using add and shift operations exclusively. Such designs are termed as multiplierless. The Single Constant Multiplication/Multiple...
This paper presents a work about palm print recognition using fuzzy entropy. A number of schemes have been proposed to combine the fuzzy set theory and its application to the entropy concept for modelling a palm print recognition system. The measure of uncertainty is adopted as a measure of information. Hence, the measures of fuzziness are known as fuzzy information measures. The measure of information...
Glaucoma, an eye disease, is often referred to as the silent thief of sight. The damage done by glaucoma is irreversible. Early detection and treatment of glaucoma is the only solution. Till date many works have been done towards automatic glaucoma detection using Color Fundus Images (CFI) and Optical Coherence Tomography (OCT) images by extracting structural features. Structural features can be extracted...
This paper examines the quality of feature set obtained from Wavelet based Energy-entropy with variation of scale and wavelet type. Here motor imagery of left-right hand movement classification problem has been studied. Elliptic bandpass filters are used to discard unwanted signals and also to extract alpha & beta rhythms. We have implemented wavelet-based energy-entropy with three level of decomposition...
Phoneme is a single unit of sound essential for any language to function. American official language English was originated from British colonization, but its pronunciation is different. This paper focuses on MFCC (Mel Frequency Cepstral Coefficients) and different methods such as spectrogram analysis and speech waveform for phoneme analysis, especially vowels because they form the basis of every...
Compressive Sensing is the present sampling paradigm which acquires only useful data, and hence reduces the acquisition time, eliminates the necessity of fast analog to digital converters and data compression stage, prior to transmission. Challenge lies in recovering the data from these few samples, which are far below Nyquist rate. Compressive sensing accomplishes this, provided the signal is sparse...
Removing impulse noise in digital images is one of the major challenges in digital image processing. Pixels in digital images get corrupted during transmission due to impulse noise. In this paper, we propose a modified decision based median filter that removes impulse noise from gray images. For noise removal from digital images, different types of median filters are used: Standard Median Filter (MF),...
Today, Photovoltaic (PV) systems are very popular for power generation because they enjoy the advantage of being pollution free abundant natural resource, low maintenance cost and noiseless operation. Photovoltaic (PV) systems needs maximum power point tracking (MPPT) to maximize the PV array power output which is independent of the temperature, irradiation conditions and electrical characteristics...
Energy efficient data collection is the major challenging task in the Wireless Sensor Network(WSN). Since, batteries are the main power sources of sensor nodes which has limited energy. In multi hop clustering, Base Station's neibourhood nodes have overload compare to far nodes because nearer nodes transmit their own data as well as other nodes data. As a result, the Base Station (BS) nearby nodes...
In recent years, there is a high growth in wireless sensor network (WSNs) for secure communications or sensor network applications. It has been seen that sensor applications are revised with upcoming technologies in order to meet the demands. There is a requirement of efficient design and implementation of WSNs, due to the huge SNs to allow applications which connect the physical world to the virtual...
In a way to deal with real heath care problems, we proposed a fuzzy based decision- making system for diagnosis of breast cancer. Breast cancer is the most far- reaching disease today, so primary detection of Breast Cancer is very significant. The proposed paper was provided with artificial intelligent techniques such as fuzzy logic to give correct decision making. The fuzzy rule- based makes use...
this present paper deals with the exhaustive review of literature based on different algorithms for design of high speed digital signal processor. To make an efficient and effective processor the features like pipelining, parallelism and hazard handling capabilities are used. High speed multipliers, divider and adders are prime requirement for DSP operations. The multiplier has been designed using...
Online education has become increasingly important as Internet technology continuously evolves various endeavours like info please, Wikipedia which helps to express and explore the information to the user. This web support provides the flexibility to improve and update their skill sets. Q&A sites provide a rapid growth that augments a regular links between the users. After a study, the knowledge...
The main objective of the Lower Atmospheric Wind Profiler (LAWP) is used to identify the atmospheric echoes and spectral moments estimation is most important for the study of turbulence and dynamics of the atmosphere. Signal processing of atmospheric radar signals is necessary to measure the height profile of wind vector by detecting the Doppler shift of echoes and Signal to Noise Ratio (SNR). The...
In Wireless Sensor Network (WSN), there are mainly three types of architectures- flat, hierarchical and hybrid. In WSN, architecture cannot be changed after deployment. In such scenarios, if nodes are facilitated with feature to get configured dynamically based on application requirements (which may change with time), it will ease both pre deployment network planning complexities and post deployment...
Recognition of speaker is the task to identify person from the words they are spoken. The recognition is done by the voice characteristics. But speech can be copied and same voice can be produced by the mimicry artist. So the goal is to identify the mimicked voice and original voice. Now a day's security becomes one of the issue and many crimes are occurred. And if the mimicry is recognized then it...
Non-uniform pulse repetition interval (PRI) provides radar system strong electronic counter-countermeasures (ECCM) ability under electronic countermeasure (ECM) environment. For synthetic aperture radar (SAR) system, the effectiveness caused by non-uniform pulse repetition interval (PRI) on SAR imaging and deception jamming has not yet been illustrated comprehensively. And like the other radar systems,...
Image Compression using Huffman coding technique is simpler & easiest compression technique. Compression of image is an important task as its implementation is easy and obtains less memory. The purpose of this paper is to analyse Huffman coding technique which is basically used to remove the redundant bits in data by analysing different characteristics or specification like Peak Signal to Noise...
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