scholarly journals Area Efficient Modified Array Multiplier

2021 ◽  
Vol 23 (09) ◽  
pp. 288-291
Author(s):  
P Akshatha Shetty ◽  
◽  
Dr. Kiran V ◽  
Keyword(s):  
Signal Processing ◽  
Binary Data ◽  
Advantages And Disadvantages ◽  
Array Multiplier ◽  
Reduction In Area ◽  
Area Efficient

Multipliers are widely used for various application like signal processing. Multipliers are used for multiplication two binary data .There are different kinds of multipliers with their own advantages and disadvantages. In this paper we implemented Array multiplier which has considerably more speed but also more area, it was implemented using pseudo NMOS logic in Cadence software and the number of transistors was reduced from 2N to N+1 which also lead to reduction in area.

Epileptic Seizure Prediction Using Deep Transformer Model

2021 ◽  
Author(s):  
Abhijeet Bhattacharya ◽  
Tanmay Baweja ◽  
S. P. K. Karri
Keyword(s):  
Signal Processing ◽  
Deep Learning ◽  
False Positive Rate ◽  
Superior Performance ◽  
Seizure Prediction ◽  
Advantages And Disadvantages ◽  
Positive Rate ◽  
Benchmark Datasets ◽  
Automated Screening ◽  
Transformer Model

The electroencephalogram (EEG) is the most promising and efficient technique to study epilepsy and record all the electrical activity going in our brain. Automated screening of epilepsy through data-driven algorithms reduces the manual workload of doctors to diagnose epilepsy. New algorithms are biased either towards signal processing or deep learning, which holds subjective advantages and disadvantages. The proposed pipeline is an end-to-end automated seizure prediction framework with a Fourier transform feature extraction and deep learning-based transformer model, a blend of signal processing and deep learning — this imbibes the potential features to automatically identify the attentive regions in EEG signals for effective screening. The proposed pipeline has demonstrated superior performance on the benchmark dataset with average sensitivity and false-positive rate per hour (FPR/h) as 98.46%, 94.83% and 0.12439, 0, respectively. The proposed work shows great results on the benchmark datasets and a big potential for clinics as a support system with medical experts monitoring the patients.

Digital Watermarking Techniques for Audio and Speech Signals

2011 ◽  
pp. 132-160
Author(s):  
Aparna Gurijala ◽  
John R. Deller Jr.
Keyword(s):  
Signal Processing ◽  
Performance Evaluation ◽  
Digital Watermarking ◽  
State Of The Art ◽  
Audio Watermarking ◽  
Speech Signals ◽  
Advantages And Disadvantages ◽  
Signal Features

The main objective of this chapter is to provide an overview of existing speech and audio watermarking technology and to demonstrate the importance of signal processing for the design and evaluation of watermarking algorithms. This chapter describes the factors to be considered while designing speech and audio watermarking algorithms, including the choice of the domain and signal features for watermarking, watermarked signal fidelity, watermark robustness, data payload, security, and watermarking applications. The chapter presents several state-of-the-art speech and audio watermarking algorithms and discusses their advantages and disadvantages. The various applications of watermarking and developments in performance evaluation of watermarking algorithms are also described.

Low-Power and Area-Efficient Parallel Multiplier Design Using Two-Dimensional Bypassing

2016 ◽  
Vol 26 (02) ◽  
pp. 1750030 ◽  
Author(s):  
Pankaj Kumar ◽  
Rajender Kumar Sharma
Keyword(s):  
Signal Processing ◽  
Low Power ◽  
High Speed ◽  
Digital Signal ◽  
Cmos Technology ◽  
Two Dimensional ◽  
Efficient Design ◽  
Parallel Multiplier ◽  
Power Delay Product ◽  
Area Efficient

To develop low-power, high-speed and area-efficient design for portable electronics devices and signal processing applications is a very challenging task. Multiplier has an important role in digital signal processing. Reducing the power consumption of multiplier will bring significant power reduction and other associated advantages in the overall digital system. In this paper, a low-power and area-efficient two-dimensional bypassing multiplier is presented. In two-dimensional bypassing, row and column are bypassed and thus the switching power is saved. Simulation results are realized using UMC 90[Formula: see text]nm CMOS technology and 0.9[Formula: see text]V, with Cadence Spectre simulation tool. The proposed architecture is compared with the existing multiplier architectures, i.e., Braun’s multiplier, row bypassing multiplier, column bypassing multiplier and row and column bypassing multiplier. Performance parameters of the proposed multiplier are better than the existing multipliers in terms of area occupation, power dissipation and power-delay product. These results are obtained for randomly generated input test patterns having uniform distribution probability.

Comparative characteristics of anti-collision processing of radio signal from identification tags on surface acoustic waves

2019 ◽  
pp. 48-56 ◽  
Author(s):  
A. V. Sorokin ◽  
A. P. Shepeta ◽  
V. A. Nenashev ◽  
G. M. Wattimena
Keyword(s):  
Signal Processing ◽  
Surface Acoustic Waves ◽  
Group Identification ◽  
Sensor Data ◽  
Correct Identification ◽  
Processing Methods ◽  
Time Frequency ◽  
Advantages And Disadvantages ◽  
Identification Tags ◽  
Signal Processing Methods

Introduction:Collision of information signals is a common problem in the measurement of physical magnitudes, such as temperature, pressure, stress, etc., with acoustic-electronic sensors. This problem is caused by overlapping response signals in the time domain, which makes it difficult to interpret correctly the device identification codes or the sensor data received.Purpose:Analysis of anticollision algorithms for radio-frequency tag code detection and identification by response information signals from acoustic-electronic devices which use the methods of time, frequency and frequency-time division of the response radio signals.Methods:Probabilistic methods for calculating the parameters of digital detectors of radio pulse bursts with given false alarm values and gaussian white noise background; individual code group identification methods when studying the attenuation of acoustic-electric signal during their propagation in the tag substrate, taking into account the dependence of the attenuation on the tag topology.Results:We have derived analytical expressions to calculate the probability of the correct identification of each tag, taking into account the dependence on tag topology, attenuation characteristics, the anti-collision signal processing methods and the signal-to-noise ratios. Curves which allow you to compare the advantages and disadvantages of the considered anti-collision signal processing methods are calculated and shown in the article. The analysis of the graphic charts demonstrating the correct identification probability has shown that identification tags with frequency-time coding have better ratios as compared to frequency or time methods of collision prevention.Practical relevance:The obtained result allows you to effectively evaluate the condition of technical objects, improving the predictability and prevention of possible environmental and man-made disasters.

COMBINED SIGNAL PROCESSING METHOD FOR DIAGNOSIS AND MONITORING OF THE INDUCTION MOTORS OPTIMIZED FOR EMBEDDED SYSTEMS

2021 ◽  
pp. 18-27
Author(s):  
A. L. Morozov
Keyword(s):  
Signal Processing ◽  
Embedded Systems ◽  
Induction Motors ◽  
Vibration Signal ◽  
Constant Load ◽  
Load Level ◽  
Monitoring Systems ◽  
Vibration Signals ◽  
Advantages And Disadvantages ◽  
Fractional Moments

Induction Motors (IM) play a key role in modern industry, so the condition monitoring systems are becoming increasingly relevant. Commercial monitoring systems are usually based on the measurement of IM’s vibrations and the further processing of the measured vibration signals. For those purposes the embedded systems (such as microcontrollers and inexpensive processors) are used. Embedded systems have limited resources, so data processing algorithms should have low computational complexity and require little memory. In this paper, the wellknown methods of processing vibration signals for fault diagnosis of the IM are considered and their main advantages and disadvantages for the implementation in embedded systems are highlighted. The previously proposed method based on a combination of the fast Fourier transform and the statistics of the fractional moments is optimized for vibration signal processing and implementation in embedded systems. The efficiency of diagnosis of such faults as eccentricity and a broke rotor bar, using the proposed method, is verified on the radial vertical vibrations measurements of the real motors under different constant load levels: no load, 50 % of the rated load, 75% of the rated load. The results show that this approach allows accurately diagnose the considered faults independently from the load level.

A Multi-Channel Radar Signal Process System

2010 ◽  
Vol 20-23 ◽  
pp. 884-888
Author(s):  
Cheng Fa Xu ◽  
Jun Ling Wang ◽  
Rong Gang Wu
Keyword(s):  
Signal Processing ◽  
High Performance ◽  
Processing System ◽  
General Purpose ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Signal Processing System ◽  
Signal Processing Algorithm ◽  
High Data ◽  
Advantages And Disadvantages

In order to meet multi-channel, high data rate, intensive computing capacity of modern radar signal processing, a standard, scalable, high-performance general-purpose radar signal processing system platform is proposed. The main processor of this system platform is the DSP and FPGA. In the analysis of different kinds of radar signal processing algorithm, and taking into account the respective advantages and disadvantages of DSP and FPGA, In this paper, a software architecture method for radar signal processing is given to decide how to distribute different algorithm into DSP and FPGA. At last, for a certain type of circular array radar, an implementation of radar signal processing by using the general-purpose radar signal processing system platform is proposed.

scholarly journals Nonlinear Optical Signal Processing for Tbit/s Ethernet Applications

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
L. K. Oxenløwe ◽  
M. Galili ◽  
H. C. Hansen Mulvad ◽  
H. Hu ◽  
J. L. Areal ◽  
...  
Keyword(s):  
Signal Processing ◽  
Silicon Nanowires ◽  
Binary Data ◽  
Optical Signal Processing ◽  
Direct Detection ◽  
Optical Signal ◽  
Data Generation ◽  
Symbol Rate ◽  
Single Polarization ◽  
Data Signal

Wereviewrecent experimental demonstrations of Tbaud optical signal processing. In particular, we describe a successful 1.28 Tbit/s serial data generation based on single polarization 1.28 Tbaud symbol rate pulses with binary data modulation (OOK) and subsequent all-optical demultiplexing. We also describe the first error-free 5.1 Tbit/s data generation and demodulation based on a single laser, where a 1.28 Tbaud symbol rate is used together with quaternary phase modulation (DQPSK) and polarization multiplexing. The 5.1 Tbit/s data signal is all-optically demultiplexed and demodulated by direct detection in a delay-interferometer-balanced detector-based receiver, yielding a BER less than 10−9. We also present subsystems making serial optical Tbit/s systems compatible with standard Ethernet data for data centre applications and present Tbit/s results using, for instance silicon nanowires.

scholarly journals A Mathematical Review of Polyphase Filterbank Implementations for Radio Astronomy

2011 ◽  
Vol 28 (4) ◽  
pp. 317-322 ◽  
Author(s):  
Christopher Harris ◽  
Karen Haines
Keyword(s):  
Signal Processing ◽  
Radio Astronomy ◽  
Advantages And Disadvantages ◽  
Mathematical Background ◽  
Mathematical Review ◽  
Hardware Architectures ◽  
Published Research ◽  
General Scope

AbstractThe technique of polyphase filterbanks is commonly used for signal processing in radio astronomy. The rapid and ongoing evolution of parallel hardware architectures requires optimised implementations of such techniques to be redeveloped. However, much of the published research regarding polyphase filterbanks refers the reader to signal processing books with a more general scope. Furthermore, these references tend to focus on the design of filters, rather than their implementation. For this reason, this work presents a mathematical background for the implementation of a polyphase filterbank specific to radio astronomy. It also addresses the advantages and disadvantages of polyphase filterbanks in comparison with more commonly used techniques.

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