Signal Processing

Introduction :

Signal processing condenses measurement for extracting information recording some distant state of nature. Signal processing has different applications ,usage and perspectives .For example  :  For an acoustician the signal processing can be used as a tool for turning the measured signals into useful  information. Secondly for a sonar designer it can be a part of the sonar system. Also, an electrical engineer uses digitization sampling , filtering and estimating  spectra.
Theoretical Foundations of modern signal processing is found by some mathematical statistics . Estimation paradigm or detection can help in deriving the components of signal processing. It really helps with detection and estimation problems by giving unmatched performance metrics.

Digital Signal Processing  (DSP)

It refers to different techniques used for improving accuracy and reliability of digital communication. Digital Signal Processing works by clarifying and standardizing the digital signal  by its levels or states. This working of the Digital Signal Processing is somewhat complex.
The communication engineers are always trying to make the signal to noise ratio in the communication system better than before. This is so because every circuit used for communication has some noise.
The signal-to-noise ratio can be optimized by increasing the power of transmission and increasing the sensitivity of the receiver .
Digital Signal Processing  can be explained with this example. 

If the signal received is digital in nature like computer data, then the Analog-to-digital converter and Digital-to-Analog converter is not required . The Digital Signal  processor can work directly with the incoming signals and the other problems which are caused by noise. This minimizes the  number of errors in the per unit time.

Digital Signal

It can be termed a  signal which can represent any data as a sequence of discrete values.
The valid value of the signal in a digital circuit are mainly of two types :-

• Binary Signal – the signal mainly comprised of two digits
• Logic Signal –  the signals having states are known as logic signals.

The two states of the signal are represented by some measurement electrical property of the signal. Most commonly voltage is used but current is also used in some logic families.

Digital signals which have more than two states occasionally are called multivalued logic. Example-Digital Signals with three states are called three- valued logic.

Signal Conditioning

In simple words Signal Conditioning  can be defined as the manipulation of continuous signals which represent any other quantity in such a way that it would meet the requirements of  further processing of the signal.
It is used in the following :

• Control Engineering – signal conditioning is done to amplify the signal on the stage of conditioning the signal.
• Analog – to –digital converter – signal conditioning helps in  voltage and current limiting included with anti-altering filtering. 
• Power Electronics – It uses signal conditioning for scaling various signals till the level which the microprocessor would accept.

Signal Conditioning includes processes such as amplification, filtering , range matching etc. These processes  require a sensor output which would be as per the requirement of processing after being conditioned .

Conclusion

We live in a time where Signal Processing is used very prominently around us. So, we learn these concepts and work on the soil processing procedure. Digital Signal Processing has brought a change and improved the accuracy and reliability of digital communication. The digital signals on the other hand is the foundation of the digital communication system  , without which our world would be mostly outdated. Signal Conditioning messages manipulates our signals for the betterment of the future processes of Signal processing. Sounds , images and scientific measurement are reliant on Signal processing.