This document provides an introduction to signal filtering, explaining the necessity of removing unwanted signals for effective signal processing. It outlines different types of filters, including analog and digital, and their applications such as noise elimination and radio tuning. Additionally, it introduces Siliconmentor, a research organization specializing in digital signal processing and related fields.

1. Signal Filtering

2. Introduction
• Most of the signals we deal with in real life get
corrupted in some way or another by some
unwanted signals.
• For the purpose of signal processing and
analysis, it is imperative to get rid of these
interferences, or at least reduce their effects.
• This is achieved through applying Signal
Filtering techniques.

3. What are filters?
• A Filter is an electronic circuit that
removes/attenuates, from a signal, some
unwanted component or feature.

4. Common used terms
• Cut off frequency : this is the frequency that
define the limits of the filter range.
• Stop band : The range of frequencies that is
filtered out
• Pass band : The range of frequencies which is let
through and recorded
• Transistion band : region that separates the
passband and stopband

5. Types of filters
Less accuracy
Non-Linear Phase
Adaptive Filters Difficult
Analog filters required at high frequencies
No ADC,DAC or DSP required.
Analog filters

6. High Accuracy
Linear Phase (FIR Filters)
Flexible, Adaptive Filtering Possible
Easy to Simulate and Design
Requires High Performance ADC,DAC & DSP
Digital Filters

7. Linear time invariant filters
A class of linear filters whose behavior does not
change over time
Linearity implies that the filter meets the scaling
and superposition properties
Two types
• 1.FIR filter
-Operates only on previous values of the input
• 2.IIR filter
-Operates on previous values of input and output

8. Filters on the basis of structure
• Direct form

9. • Cascade form

10. • Parallel form

11. Filter Application
• Eliminate background noise
• Radio tuning to a specific frequency
• Direct particular frequencies to different
speakers
• Modify digital images
• Remove specific frequencies in data analysis

12. • This presentation is created by the Digital signal
processing researcher of SiliconMentor.
SiliconMentor is a leading research organization.
SiliconMentor deals in various domains like
Digital Signal Processing, Image processing,
FPGA, VLSI etc.
• We also assist PhD and M.tech students in their
Projects and thesis work. If you any query feel
free to contact us.

13. About Us
• Company: SiliconMentor
• Website: http://www.siliconmentor.com/

14. Thank You