scholarly journals Vedic Mathematics for Digital Signal Processing Operations: A Review

2015 ◽  
Vol 113 (18) ◽  
pp. 10-14 ◽  
Author(s):  
Kaustubh M.Gaikwad ◽  
Mahesh S. Chavan
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Vedic Mathematics

scholarly journals Bit wise and delay of vedic multiplier

2017 ◽  
Vol 7 (1.5) ◽  
pp. 26
Author(s):  
M Siva Kumar ◽  
Sanath Kumar Tulasi ◽  
N Srinivasulu ◽  
Vijaya Lakshmi Bandi ◽  
K Hari Kishore
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Vedic Mathematics ◽  
Whole Process ◽  
Vedic Multiplier ◽  
Mode Of Operation ◽  
Wave Forms ◽  
Ancient Mathematics ◽  
Binary Addition

The Vedic multiplier is derived from the ancient mathematics called Vedic mathematics .The ancient mathematics has different sutras in that we use Urdhva Tiryagbhyam sutra which means clock wise and vertically . As we know that binary multiplication is not possible so that instead we use binary addition or subtraction instead of it. The key process for the multiplication is the speed of the processor. The fastest mode of multiplication is the Vedic multiplier. In this paper we want to show the delay and utilization of components available for the multiplier by executing the code. The comparison of delay from some papers was also proposed in this paper. The research is going on the Vedic mathematics to overcome the problems on the conventional mathematics. In future Vedic multiplier plays an important role in the DSP (Digital Signal Processing).As it is the fastest and efficient mode of operation. In this paper I am calculating the bit wise delay up to 32-bit. The whole analysis was done in Xilinx. The ISM wave forms for every bit up to 32-bit was to be obtained. The utilization, used, available, utilized analysis was also taken. The whole process was done in XILINX software.

scholarly journals High speed VLSI Squaring unit of Binary Numbers Design with Yavadunam Sutra and Bit Reduction

2019 ◽  
Vol 9 (2) ◽  
pp. 775-778
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
High Speed ◽  
Digital Signal ◽  
Excellent Performance ◽  
Vedic Mathematics ◽  
Measurement Period

Vedic Mathematics is an ancient Indian algebra in which 16 sutras are used to measure. For excellent performance, most high-speed applications such as cryptography and digital signal processing need powerful and high-speed multipliers. Squaring is a specific case of multiplication. A specialized squaring device can greatly boost the measurement period and significantly reduce the delay. This study discusses the concept of a new square architecture utilizing Vedic-mathematics sutra "Yavadunam." The proposed method uses the amount deficit from the closest base to calculate every operand's circle. The square of a larger number of magnitude is reduced by this method to a smaller multiplication of magnitude and an addition operation

Method of estimation of hidden correlation of narrowband noise signals

2019 ◽  
pp. 34-39 ◽  
Author(s):  
E.I. Chernov ◽  
N.E. Sobolev ◽  
A.A. Bondarchuk ◽  
L.E. Aristarhova
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
New Technology ◽  
Digital Signal ◽  
Measuring Instruments ◽  
Central Frequency ◽  
Pearson Criterion ◽  
Useful Signal ◽  
Band Limited ◽  
Narrowband Noise

The concept of hidden correlation of noise signals is introduced. The existence of a hidden correlation between narrowband noise signals isolated simultaneously from broadband band-limited noise is theoretically proved. A method for estimating the latent correlation of narrowband noise signals has been developed and experimentally investigated. As a result of the experiment, where a time frag ent of band-limited noise, the basis of which is shot noise, is used as the studied signal, it is established: when applying the Pearson criterion, there is practically no correlation between the signal at the Central frequency and the sum of signals at mirror frequencies; when applying the proposed method for the analysis of the same signals, a strong hidden correlation is found. The proposed method is useful for researchers, engineers and metrologists engaged in digital signal processing, as well as developers of measuring instruments using a new technology for isolating a useful signal from noise – the method of mirror noise images.

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