iosr-JVSP   Volume-11 ~ Issue-6 ~ Nov. - Dec. 2021

ABSTRACT: Half-unit-biased (HUB) is a new design that is based on the displacement of the digits represented by half the unit last performed. This arrangement makes the two's complement and round operations closest by avoiding any carry propagation. This saves energy, time and area consumption. Given that the IEEE floating point standard uses unbiased rounding as the default mode, this feature is also desirable for HUB approaches. In this article, we study unbiased rounding for HUB floating point addition both within independent operation and within FMA. We show two different options to eliminate bias by eliminating the sum results either partially or completely. Implementation results of the proposed architecture to help designers decide what their best option.

Keywords: HUB format, unbiased rounding, Floating point , IEEE.

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ABSTRACT: Today the synthetic speech of highest quality, generated by existing speech synthesis systems are not close to actual human speech. As the number of applications for synthetic speech increases, the naturalness and the intangibility of synthetic speech will become an important factor in determining its use. This paper presents a comparative study on investigating the naturalness and the intelligibility of the newly proposed Auto Regressive Moving Average (ARMA) based speech synthesis method for female voice. The synthesized speech was analyzed based on subjective and objective.....

Key Word: Auto Regressive Moving Average (ARMA), Speech intelligibility; Naturalness; signal-to-noise ratio (SNR); peak signal-to-noise ratio (PSNR) and mean square error (MSE); Diagnostic Rhyme Test

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[4]. C.V. Botinh˜ao, Intelligibility enhancement of synthetic speech in noise Doctor of Philosophy thesis, Institute for Language, Cognition and Computation School of Informatics University. of Edinburgh. 2013
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ABSTRACT: In this work, the well-known Kramers–Kronig (K-K) relation is reviewed in the context of the frequency domain response function of a linear and causal medium. K-K relation is a bidirectional mathematical expression which relates the real and imaginary parts of a given complex function analytic in the upper half plane. The Fourier integral can be applied to the complete frequency response of a physical system to yield a causal time-domain impulse response. The frequency response of the system being invariant is described under the Hilbert
transform. One of the pairs of the K-K relation expresses the real part of a complex function in terms of an infinite integral involving the imaginary.......

Keywords –K-K relation, FFT, Oscillator model, Optical spectroscopy, Hilbert transform

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ABSTRACT: This paper proposes efficient constant multiplier architecture based on vertical-horizontal binary common sub-expression elimination (VHBCSE) algorithm based on carry select adder using common Boolean logic and modified full adder for planning a reconfigurable finite impulse response(FIR) channel whose coefficients can progressively change continuously. To plan a proficient reconfigurable FIR channel, as indicated by the proposed modified VHBCSE calculation, 2-bit paired regular sub-articulation end (BCSE) calculation has been connected vertically crosswise over contiguous coefficients on the 2-D space of the coefficient lattice at first, taken after by applying variable-piece BCSE calculation evenly inside every coefficient. This method.....

Keywords: Index Terms—VHBCSE algorithm, MCM, FIR filter, VLSI design

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ABSTRACT: Review basic MOS single-stage amplifier topologies and perform comparative DC analysis in order to determine for each topology the pair: (maximum input voltage swing, amplification). The results will be used in following works for the design of more advanced circuits such as differential amplifiers, current sources and operational amplifiers.

Keywords: integrated analog design, single-stage amplifier, dc-analysis, voltage-swing, amplification

[1]. B. Razavi, Design of Analog CMOS Integrated Circuits, 2nd Edition (McGraw-Hill, 2016).
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ABSTRACT: Detection of stress using real time capture analysis is performed in this paper. ECG is captured using AD8232 ECG module. This paper is inspired by the work of various other Convolutional Neural Network for emotional recognition and takes an inference for stress from detected emotions. This paper gives a unique implementation for detection of P wave, which uses a single moving average filter instead of two moving average filters. Detection of QRS Complex, ST Segment slope and P wave segment were done for ECG Signal processing and analysis. By combining the results of facial recognition and ECG analysis prediction of stress is shown. For the results, subjects are chosen from the random group of students and the results were obtained which gives the overall accuracy of 96%.

Keywords: Stress; Facial features; Emotions; ECG; QRS Complex; ST Segment slope; P Segment; Pan Tompkins Algorithm; AD 8232 ECG Module; NodeMCU.

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[3]. Supriya Goel, Gurjit Kau, Pradeep Toma. A novel technique for stress recognition using ECG signal pattern. Gautam Buddha University, India, Curr Pediatr Res 2017; 21 (4): 674- 679 ISSN 0971-9032
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[5]. Nisha Raichur, Nidhi Lonakadi, Priyanka Mural. Detection of Stress Using Image Processing and Machine Learning Techniques. IVol 9 No 3S July 2017 International Journal of Engineering and Technology (IJET). ISSN (Print): 2319-8613. DOI: 10.21817/ijet/2017/v9i3/170903S001.