Digital Signal Processing

List of Good Digital Signal Processing projects for engineering students

Summary

When you decide what career to choose, you might have to consider a lot of different things. One of the major points you might have in mind is whether the field has scope in the future. If you invest your time building a skillset with future demand, you will have great prospects. The only constant thing about technology is that it changes. So, you have to ensure that your chosen field stays important. The growth of the electronics industry in the last few decades has been phenomenal. IEEE DSP projects are liked around the world for their ingenuity and creativity. Therefore, digital signal processing is something that is popular and in demand. If you wish to be good in this area, you have to invest time in signal processing projects. So, to help you get started, here’s a list of some of the best digital signal processing projects out there!

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1. Digital Signal Processing using MATLAB

2. Digital Signal Processing using Python


Future of Signal Processing

Signal processing is an enabling technology that helps with manipulating data. It helps in the generation, transmission, transformation, and interpretation of information via signals. It is used in health care tech and even digital assistants like Siri and Google Home. When you consider all the applications of signal processing, we see how it is a future technology. It plays a huge role in several industries. Unlike other technologies that have used in a core field, DSP has several uses. Therefore, it is safe to say that this technology has a very bright future.

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What is Digital Signal Processing?

Digital Signal Processing is the art of taking real-world signals and converting it into a digital entity. Physical signals include audio, video, and position parameters. This signal is then transformed, transmitted, received, modified, and interpreted. Furthermore, DSP projects involve operating and modifying such signals. Common methods used are addition, division, subtraction, and multiplication. These digital signals are then processed before they are displayed and understood. Analog to Digital converters help turn physical measures into digital information. Once the data is digitised, the signal processors take over and then process it. Finally, it is fed back into the real world to be put to use. 

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What Can DSP be used for?

  1. Process information to help control automated systems
  2. Compress information so they are sent and received more efficiently
  3. Send packets of information over vast distances at high speeds
  4. Enhance and manipulate signals to make them more efficient
  5. Collect data about phenomena that humans cannot sense, such as echo cancellation
  6. Digitally enhance images, audiotapes, and videos
  7. Process digital information with great accuracy

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What's Inside a DSP?

  • Memory: This helps in storing the program which helps the DSP process and manipulates data
  • Data Storage: This stores the information needed to perform a particular function
  • Computer: Helps in performing all the required mathematical and logical processes
  • Input/Output Devices: Helps in connecting the DSP to the outside world

What are the applications of digital signal processing?

  1. Aids in decision-making in the field of finance
  2. Helps in the making of movies via multiresolution signal processing 
  3. Consumer electronics industry
  4. Wearable devices 
  5. Digital home assistants 
  6. Audio and Video players
  7. Data Compressors
  8. Teleconferencing
  9. Healthcare technology
  10. EEG Tests, hearing aids and blood pressure testing
  11. Image Processing
  12. Speech processing 
  13. Optical Character recognition
  14. Radar applications
  15. Smartphone industry

List of good digital signal processing projects for engineering students

1. Video Tracking 

In the field of image processing, object identification is a very vital skill for building tracking applications. In this digital signal processing project, students will learn to recognise patterns in videos. To do this, we will be making use of efficient threshold filters. Such systems have high-speed algorithms that go through large amounts of visual data. It then pulls out characters and tracks objects. This DSP project will help you understand how missile and aircraft recognition software works by implementing a real-time DSP project tracking system. 

2. Sobel Edge Detection using DSP

Edge detection is a technology that makes all object tracking and identification possible. There are several digital signal processing projects that work around filters and techniques that help with edge detection. In this IEEE DSP project, students will get a chance to work with image processing techniques and edge detection algorithms. Sobel is a popular edge detection algorithm that performs 2-D gradient measurement through 3×3 filters for edge detection operations. This DSP project will help you build your own Sobel detector using a DSP processor.

3. Image Fusion DSP

Medical image fusion allows you to register, detect, and combine different images to create one definite image. This process is highly used in healthcare as a way of improving the quality of medically obtained images. DSP filters help in improving the image quality by reducing randomness and redundancy within the image. In this digital signal processing project, students will learn how to improve the image quality of pictures and use it for medical purposes. 

4.Light animation using Arduino and Matlab

5. Automatic certificate generation using MATLAB

6. Image processing using MATLAB

7. Traffic signal detection using MATLAB

8. Fruit identification using color analysis

9. Brain tumor detection using image segmentation

10. Vehicle number plate detection DSP project

11. Fuzzified particle swarm optimization

12. High-speed rail transportation automation

13. Hydropower plant simulation using Matlab

14. JPEG compressor DSP project

15. Hybrid electric vehicle modelling using MATLAB

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How can I learn Digital signal processing? 

1. Digital Signal Processing using MATLAB course

In this digital signal processing project, you will learn various algorithms to detect, smoothen and visualise signals. MATLAB is a very important tool that helps engineers with technical computing. Therefore, this DSP project is a great introduction to both DSP techniques and the usage of MATLAB. International research organisations like NASA and ISRO use MATLAB for their mathematical computing and simulation needs. Therefore, as a young engineer, this real-time DSP project will give you some understanding regarding the working of DSP tools, filters, transformations and modulation.

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2. Digital Signal Processing using Python course

In this IEEE DSP project and course, students will learn about the concepts of Digital Signal Processing by building projects using Python. They will learn about signal manipulation algorithms, Fourier transforms, convolutions and filters. The project gives students a chance to work on projects and gain some hands-on experience when it comes to DSP techniques. Not only will you learn about the theory of DSP, but you will also learn to put it to use to build various Chebyshev and Butterworth filters

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They help with the transmission of all kinds of data, making them universally required and accepted. Furthermore, now they are necessary for the proper functioning of health care services such as X-rays, MRIs and CT scans. If that’s wasn't enough, they help with interpreting financial data. The dynamic consumer electronics industry, which is expanding tremendously also has a lot of use for DSP. Make the best use of your time by working on these DSP projects that will help you understand how the technology works first-hand.

List of Good Digital Signal Processing projects for engineering students
Skyfi Labs Last Updated: 2020-06-17





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