DSP Undergraduate Project Ideas?

In summary, for a digital signals and systems class project, you could implement the "overlap and save" method of linear convolution using a computer program. This method is more efficient than straight, linear convolution as it uses Fast Fourier Transforms (FFTs). You can define the impulse response of the filter yourself and zero-pad it to a power of 2. Then, you take the DFT of the input signal and multiply it with the DFT of the zero-padded impulse response. The first M-1 samples of the output must be discarded due to circular convolution. The process is repeated for each block of input samples, with the starting index incrementing by N - M + 1. The final output signal is obtained by concatenating
  • #1
mrmjp
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0
I have to do a project of some kind for my digital signals and systems class and I really don't have a clue where to even start looking. ANY IDEAS OR DIRECTION WOULD BE APPRECIATED.
 
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  • #2
Here's an idea. You could write a computer program which implements the "overlap and save" method of linear convolution. The "overlap and save" method allows you to do digital filtering with an finite impulse response (FIR) filter (you can make the impulse response of the filter yourself*). It's more efficient than straight, linear convolution because it uses Fast Fourier Transforms (FFTs).

You can define the impulse response of the filter yourself*, suppose it has M samples. You'll then want to zero-pad that out to N samples, where N is a power of 2. Typically you'll want N to be several times larger than M.

*(You can even apply Hamming or Hanning windowing to the filter, if you've covered that in your coursework, and if you want to get fancy).

Then you take N samples of the input signal you want to filter. Take the Discrete Fourier Transform (DFT, using the FFT algorithm) of that and multiply it times the DFT of your zero-padded impulse response [Edit: btw, you only need to take the DFT of your zero-padded impulse response once -- you'll use the same results of that over and over again]. Then take the inverse DFT to get a chunk of filtered output.

Since the DFT uses circular convolution -- not linear convolution -- you'll then need to throw away the first M-1 samples of the output. But that still leaves you with N - M + 1 good samples for that block.

When taking the next block of input samples, rather than increment by N, you'll need to increment your starting index by only N - M + 1 (although you'll still be taking N samples total), since you'll be anticipating throwing away some of those samples (M - 1 of them) of the output.

In the end, you just concatenate these N - M + 1 blocks of output to obtain your final output signal.

http://en.wikipedia.org/wiki/Overlap%E2%80%93save_method

There's a nearly equivalent method called "overlap and add" if you'd prefer.

Anyway, just an idea. :smile:
 
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Related to DSP Undergraduate Project Ideas?

1. What is a DSP undergraduate project?

A DSP undergraduate project is a research or study project that focuses on the field of digital signal processing (DSP). DSP is the use of mathematical and computational techniques to analyze and manipulate signals in order to extract useful information or improve signal quality.

2. Why should I consider doing a DSP undergraduate project?

A DSP undergraduate project can provide valuable hands-on experience in a rapidly growing field. It can also help develop critical thinking and problem-solving skills, as well as enhance your understanding of advanced mathematical and computational techniques.

3. What are some potential project ideas in DSP?

Some potential project ideas in DSP include designing and implementing an audio or image processing algorithm, developing a system for recognizing and classifying signals, or exploring the use of machine learning in DSP applications.

4. Do I need prior knowledge in DSP to do a project?

While having some background knowledge in DSP can be helpful, it is not necessarily a requirement for doing a project. Many universities offer introductory courses in DSP that can provide the necessary foundation for a project. Additionally, there are many online resources available for learning DSP concepts and techniques.

5. How do I get started on a DSP undergraduate project?

The first step in starting a DSP undergraduate project is to identify your interests and goals. Then, you can discuss potential project ideas with your professors or advisors and conduct background research to develop a clear understanding of your topic. It's also important to establish a timeline and plan for data collection, analysis, and implementation. Seeking guidance and feedback from your mentors throughout the project can also be helpful in ensuring its success.

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