Sensors | Classification & Characteristics

A sensor is basically a device that converts the physical parameter (for example, viscosity, temperature, blood pressure, light intensity, humidity, speed, etc.) into a signal(may be electrical or non-electrical quantity) which can be easily measured. For example, let us consider an electrical resistance temperature element. Here the measurand is the temperature which is being sensed … Read more

Smart Sensors – Block Diagram, Architecture & Applications

A sensor producing an electrical output, when combined with some interfacing hardware is termed to be an intelligent sensor. Intelligent sensors are also called smart sensors, which is a more acceptable term now. Sensors + Interfacing hardwares = Smart sensors This type of sensor is different from other types of sensors because it carries out … Read more

Sampling Theorem

In many applications such as audio applications, it is useful to represent a signal in terms of sample values taken at appropriately spaced intervals. The signal can be reconstructed from the sampled waveform by passing it through an ideal low pass filter. In order to ensure a distortionless reconstruction, the original signal must be sampled … Read more

Pulse Time Modulation | PWM, PPM, PFM

In this article, we will learn about Pulse Time Modulation. In the previous article, we had learned about pulse amplitude modulation. In Pulse Time Modulation, the timing characteristics such as width, position, and frequency are varied with the amplitude of the input signal. So, Pulse Time Modulation are of three types i.e. Pulse Width Modulation (PWM) Pulse Position … Read more

Kirchhoff Current Law and Kirchhoff Voltage Law

There are some simple relations between currents and voltages of different branches of an electrical circuit. These relations are determined by some elementary laws that are known as Kirchhoff laws or more exactly Kirchhoff Current and Voltage laws. These laws are first derived by Gustave Robert Kirchhoff and therefore these laws are also called as Kirchhoff … Read more

Gaussian Statistical Analysis

1. Arithmetic Mean 2. Deviation, d 3. Mean or Average deviation 4. Standard deviation, σ 5. Probable Error, r r = 0.6745 σ 6. Mean probable error, rm Also 7. Standard deviation of mean 8. Standard deviation of Standard deviation 9. Minimum range of error 10. Maximum range of error 11. Average range of error 12. Variance, V V = σ2

Frequency Division Multiplexing | Advantages & Applications

In the previous article, we have learned about Time division multiplexing. In this article, we will learn about multiplexing of data based on frequency division i.e. Frequency Division Multiplexing. The frequency division multiplexing (FDM) is based on sharing the available bandwidth of a communication channel among the signals to be transmitted. Let us understand with the help … Read more