A 1.5 V linear transconductor with wide bandwidth and wide input and output signal swings

2002 ◽  
Author(s):  
J. Ramirez-Angulo ◽  
R.G. Carvajal ◽  
A. Torralba ◽  
J. Martinez-Heredia
Keyword(s):  
Output Signal ◽  
Wide Bandwidth ◽  
Input And Output

Evaluation of fractional order of the discrete integrator. Part II

2020 ◽  
Vol 23 (2) ◽  
pp. 408-426
Author(s):  
Piotr Ostalczyk ◽  
Marcin Bąkała ◽  
Jacek Nowakowski ◽  
Dominik Sankowski
Keyword(s):  
Fractional Order ◽  
Output Signal ◽  
Linear Time ◽  
Mathematical Problem ◽  
Simple Method ◽  
Linear Time Invariant ◽  
Input And Output ◽  
Order Difference Equation ◽  
Time Invariant ◽  
Discrete Integrator

AbstractThis is a continuation (Part II) of our previous paper [19]. In this paper we present a simple method of the fractional-order value calculation of the fractional-order discrete integration element. We assume that the input and output signals are known. The linear time-invariant fractional-order difference equation is reduced to the polynomial in a variable ν with coefficients depending on the measured input and output signal values. One should solve linear algebraic equation or find roots of a polynomial. This simple mathematical problem complicates when the measured output signal contains a noise. Then, the polynomial roots are unsettled because they are very sensitive to coefficients variability. In the paper we show that the discrete integrator fractional-order is very stiff due to the degree of the polynomial. The minimal number of samples guaranteeing the correct order is evaluated. The investigations are supported by a numerical example.

scholarly journals Revealing hydrological relations of adjacent karst springs by partial correlation analysis

2017 ◽  
Vol 49 (3) ◽  
pp. 616-633 ◽  
Author(s):  
Ana Kadić ◽  
Vesna Denić-Jukić ◽  
Damir Jukić
Keyword(s):  
Correlation Function ◽  
Relative Humidity ◽  
Correlation Analysis ◽  
Output Signal ◽  
Partial Correlation ◽  
Cross Correlation ◽  
Partial Correlation Analysis ◽  
Karst Springs ◽  
Input And Output ◽  
Effects Of Temperature

Abstract The objective of this work is the study of two adjacent karst springs, Jadro and Žrnovnica, in Croatia. This work focuses on the effects of temperature, relative humidity, rainfall and discharges on the hydrological behavior and relations of two adjacent karst springs. Partial correlation analysis reveals the type of the control signal that affects the cross-correlation function between an input and output signal. It has been confirmed that in the case of the adjacent karst springs Jadro and Žrnovnica, the discharge of the Žrnovnica Spring has an impact on the rainfall-discharge relation of the Jadro Spring. The demonstrated approach represents an improvement in investigating the relations of adjacent karst springs and could be used as an integral part of their hydrological and hydrogeological investigations, considering that the necessary data can occur in a relatively simple and inexpensive manner.

scholarly journals Logical Operator Estimation

2021 ◽  
Author(s):  
Ulf A. Hamster
Keyword(s):  
Output Signal ◽  
Estimation Method ◽  
Logical Operation ◽  
Logical Operator ◽  
Input And Output ◽  
Logical Operations

This report proposes an estimation method to find the unknown boolean input variable of a logical operation (AND, OR, XOR). The estimators might help to assess if the association between an input and output signal is the result of simple logical operations.

scholarly journals IMPLEMENTASI SCADA UNTUK MONITORING DAN CONTROLING SERTA KOORDINASI SISTEM PROTEKSI GARDU INDUK SISTEM 1,5 BREAKER PADA GARDU INDUK TEGANGAN EKSTRA TINGGI BERBASIS ARDUINO MEGA 2560 DENGAN TAMPILAN HMI

2017 ◽  
Vol 19 (3) ◽  
pp. 14
Author(s):  
Muhammad Adi Gumelar B ◽  
Eko Ariyanto
Keyword(s):  
Output Signal ◽  
Protection System ◽  
Differential Protection ◽  
External Interference ◽  
Input And Output ◽  
Protection Area ◽  
Master Station ◽  
And Control ◽  
Monitor And Control

Muhammad Adi Gumelar B, Eko Ariyanto, SCADA is one tool that can monitor and control the system at the substation and can coordinate the protection system area when a disturbance occurs. SCADA monitors the device continuously. This paper is to understand Differential protection areas, CCP, Buspro, and CBF that work when there is interference, namely internal and external interference by applying SCADA as its coordination. 12V DC relay is used as PMT, ACS712 as CT, and Ethernet Shield as Modbus to connect Arduino Mega 2560 with SCADA. Arduino Mega 2560 functions as a controlling center of input and output. The input used is the ACS712 sensor as a detector of the current flowing in the circuit. The Arduino Mega 2560 output signal will be sent to SCADA using an Ethernet Shield and router. Status of substations 1.5 breakers can be monitored with HMI from anywhere by using the SCADA application. In the event of a disturbance, each ACS712 will start reading the current changes and will be processed by Arduino Mega 2560, so that it can determine the protection area that works and trip the relay, SCADA will automatically record disturbances and give an alarm to occur by turning on the protection LED and sounding buzzer alarm. Keywords: 1.5 Breaker, Substation, Protection, SCADA.ReferencesHimpunan Buku Pedoman Pemeliharaan Master Station Scada SKDIR         0520-3.K/DIR/2014 Master Station SCADA No. Dokumen: PDM/PGI/04:2014). Jakarta. PT. PLN (Persero).Nurpadmi.2011. Studi Tentang Modbus Protokol pada Sistem Kontrol. Jurnal Teknologi, Volume 1. Nomor2. Cepu: Pusat Pengembangan Sumber Daya Manusia Minyak dan Gas Bmi.Arduino & Genuino Products. Arduino MEGA 2560 & Genuino MEGA2560. https://www.arduino.cc/en/Main/arduinoBoardMega2560. Diakses tanggal 26 Juni 2017.

scholarly journals Continuous-time dynamic system identification with multisine random excitation revisited

2010 ◽  
Vol 20 (2) ◽  
pp. 133-149 ◽  
Author(s):  
Jarosław Figwer
Keyword(s):  
System Identification ◽  
Dynamic System ◽  
Data Acquisition ◽  
Continuous Time ◽  
Output Signal ◽  
Random Excitation ◽  
Single Input Single Output ◽  
Time Dynamic ◽  
Data Acquisition Systems ◽  
Input And Output

Continuous-time dynamic system identification with multisine random excitation revisitedThe paper presents a new, revisited and unified approach to a linear continuous-time dynamic single-input single-output system identification using input and output signal samples acquired with a deterministic constant or random sampling interval. The approach is based on a specially designed identification experiment with excitation of the form of a continuous-time multisine random excitation and digital processing of the corresponding signal samples obtained without analogue antialiasing filtration in the case of disturbances satisfying or not satisfying the Shannon's sampling theorem. Properties of the proposed approach are discussed taking into account nonlinearity of the excitation generation and data acquisition systems with a focus on model identification in the case of input and output signal levels comparable with data acquisition system accuracy. Methods reducing influence of the disturbances (including aliasing) as well as nonlinearities of the excitation generation and data acquisition systems on identification results are proposed, too.

scholarly journals Calibration of NMR Receiver using Spectrometer Characteristics

2021 ◽  
Vol 21 (6) ◽  
pp. 205-208
Author(s):  
Peter Andris ◽  
Tomáš Dermek ◽  
Ivan Frollo
Keyword(s):  
Input Signal ◽  
Output Signal ◽  
Thermal Noise ◽  
Harmonic Signal ◽  
Measured Data ◽  
Signal Generator ◽  
Digital Converter ◽  
Advantages And Disadvantages ◽  
Input And Output ◽  
Analogue To Digital

Abstract This article describes the measurement of the relation between input and output signals using two techniques: with a signal generator and with the thermal noise of a known resistance. Each of the techniques has its advantages and disadvantages. Both methods are tested and the results are compared. The input signal of the receiver is known in volts, while the output signal is in ADC (analogue-to-digital converter) units. It is the main difference versus the gain. Knowledge of the relation enables recalculation of the output signal into the input of the receiver or vice versa. It is important in some experiments. The method with the harmonic signal requires a suitable NMR spectroscopic console, generator of the harmonic signal and an attenuator, the method with the noise requires only the NMR console. It indicates that both methods are simple and cheap. The measured data are processed on a standard PC using common programs.

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