Operational Amplifier

-
WHAT IS AN OP-AMP?

An operational amplifier is a DC-coupled high-gain electronic voltage amplifier with a differantial input and, usually, a single-ended output.

Let's design 2 types of Op-Amp circuit in Matlab Project.
Op-Amplifier usually have 2 inputs and 1 output.
(-) marked end is evolved, (+) marked end is not evolved.
If you apply a signal to the (-) sign, you can get an output signal that is 180 degrees out of phase from the output as this tip is evolved.
If you apply a signal to the (+) sign, there will be no change in your output signal, because this marked end is not evolved.


The gain at low frequencies is usually large.

Now let's examine the Non-Inverting Op-Amp:

The using the formula to calculate the output voltage of a potential divider network, we can calculate the voltage gain (Av) of the Non-Inverting Amplifier as follows:



Now let's examine the inverting Op-Amp:



GUI DESIGN




GUI DESIGN


Let's make a simulink design:





Non Inverting Op-Amp Simulink Design

Inverting Op-Amp Simulink Design



  1. Firstly we selected the circuit type (pop-up menu) from Guide design.
  2. Then we selected the resistance values of Op-Amp and the Amplitude, Frequency, Phase the values of the input.
  3. We chose time interval with Tfinal.
  4. We calculate our Gain and the output value (Vout) and we show that results.
  5. We can choose the properties of the graph before the graph is drawn. You can press the Plot button.
  6. After you get the correct rsults, you can save the graph by clickking Save Figure button.
  7. If we want to get more results we should press Reset button.
Inverting Op-Amp output


Inverting Op-Amp Output





M.K.




Yorumlar

Yorum Gönder

Bu blogdaki popüler yayınlar

İngilizce Öğrenmek

-
İnternetteki  içeriklerin %76'sı İngilizce, herhangi bir konuda sağlam kaynak bulmak internet çöplüğünde oldukça zorken bir de mühendislik öğrencisi iseniz çekilmez bir çile olur. O dili mecbur bilmek zorundasın, konuşamasan da okuduğunu anlamak zorundasın. Dersi geçmek için Türkçe kaynak bulamadığın dönemler olmuştur ve olacaktır. Her şeyi geçtim İngilizce öğrenmek dünya ile bağlantıda kalmak demek ve öğrenmek için bodoslama dalış yöntemini kullanmanız gerekiyor: Yerli konuşmacılarla düello yapmak ve favori konularınız hakkında bilgi edinerek derinlere dalmak.. Her ne kadar sevdiğiniz konuları seçerseniz bu ikilide işiniz o kadar kolay olur elbettte ama derine dalmak bu kadar da basit olmayabilir. CAMBLY... Anadili İngilizce olan eğitmenlerle ... diye giresim geldi konuya ama temeliniz yoksa bu meşhur uygulama bile pek işinize yaramayabilir. Dil öğrenmek oldukça pratik isteyen zorlu bi süreçtir. Öğrenmeye karar verip düzenli çaba ile sonuna kadar gitmeniz gerekir. Disiplinli ve is...
Devamı

HALF ADDER - FULL ADDER - MUX

-
Resim
Truth Tables and Verilog Codes for one-bit Half Adder and Full Adder HALF ADDER By using half adder, you can design simple addition with the help of logic gates.   Half Adder 0+0 = 0 0+1 = 1 1+0 = 1 1+1 = 10 These are the least possible single-bit combinations. But the result for 1+1 is 10, the sum result must be re-written as a 2-bit output. Thus, the equations can be written as 0+0 = 00 0+1 = 01 1+0 = 01 1+1 = 10 The output ‘1’of ‘10’ is carry-out. ‘SUM’ is the normal output and ‘CARRY’ is the carry-out. Half Adder Logic Circuit HALF ADDER TRUTH TABLE :   S= A’B+AB’ C=AB If we want to write Verilog modules and testbench codes including every possible outcome, for Half Adder and Full Adder: HALF ADDER CODE: module halfandfull(A,B,C,S); input A,B; output C,S; assign C = A^B; assign S = A&B; endmodule HALF ADDER TEST BENCH CODE: module halffulltb;     ...
Devamı

SEGMENTATION OF LUNG CT IMAGES AND NODULE DETECTION WITH MATLAB

-
Resim
SEGMENTATION OF LUNG CT IMAGES AND NODULE DETECTION WITH MATLAB Segmentation of Lung CT Images and Nodule Detection with MATLAB      In this study, segmentation of lung CT images from medical images is described. Segmentation is the first and most important step in image processing. The high error in segmentation will also affect the subsequent image processing stages, especially in biomedical images. For this reason, it is very important to make the segmentation with the least mistake.      -According to the discontinuities  in the gray level values, the basic approach in the image segmentation problem is to divide a view based on the sudden changes in the gray levels which is against edge detection.      -Image segmentation according to similarities in gray level values is called region segmentation and is based on thresholding, growing, and split-and-merge operations. Based on similarities or differences in the gray l...
Devamı