Download PDF Digital Signal Processing Viva Questions

 Welcome back to our blog today's post is for engineers who are searching for digital signal processing viva questions or DSP viva questions.

In this post, we add some questions in a basic to the advanced manner and we also add some tricky questions that can be asked in viva.

So without wasting time let's move to our questions:

digital signal processing viva questions

Digital Signal Processing Viva Questions
Digital Signal Processing Viva Questions 

Download Answer:- Click Here 

  • Differentiate between analog and digital signals. Explain the process of analog-to-digital conversion.

  • What are the properties of an LTI system?

  • Explain the concepts of sampling and quantization. Describe the Nyquist-Shannon sampling theorem and its implications.

  • Define discrete time systems and their properties. Explain the concept of convolution and its relation to filtering.

  • Compare and contrast Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters. Describe their advantages and disadvantages.

  • Explain the Fourier Transform and its importance in digital signal processing. Explain the relationship between the time domain and frequency domain.

Filters and DSP Techniques (10):

As you guys know filters are the most important topic in DSP that's why we added a separate section for DSP Filters viva questions:

  • Design a simple FIR filter using the window method. Explain the choice of window and its impact on the filter response.

  • Implement a digital filter using a direct form implementation. Explain the advantages and disadvantages of this approach.

  • Explain the concepts of circular convolution and its applications in filter design and implementation.

  • Differentiate between linear and circular convolution. How can linear convolution be computed using circular convolution?

  • Describe the Fast Fourier Transform (FFT) and its efficiency compared to the Direct Fourier Transform.

  • Explain the process of spectral analysis using the FFT. How can you identify different frequency components in a signal?

  • Describe the Overlap-Add and Overlap-Save methods for efficient convolution of long sequences. Explain their advantages and trade-offs.

  • Explain the concept of adaptive filters. What are some practical applications of adaptive filtering?

  • Describe the process of digital decimation and interpolation. Explain their applications in signal processing.

  • Briefly explain the concept of digital watermarking and its applications in audio and image processing.

Tricky digital signal processing viva questions

  • A music streaming service claims to improve audio quality using "advanced digital filters." How would you verify their claim without needing access to their proprietary algorithms?

  • Explain how aliasing can occur even when the Nyquist-Shannon sampling theorem is seemingly satisfied. Provide a real-world example of such a scenario.

  • Two FIR filters have identical frequency responses. Can they still be fundamentally different? If so, how?

  • An ideal low-pass filter is implemented in a real-time application. However, audio recordings made through the system exhibit pre-echo artifacts. Why might this happen?

  • Describe a situation where using an IIR filter instead of an FIR filter provides a significant advantage. Explain the trade-offs involved in your choice.

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