Your document is a Digital Signal Processing (DSP) exam paper for B.Tech VI Semester (June 2024) in Electronics & Communication Engineering. It consists of 8 questions, each carrying 14 marks, with a total of 70 marks.

Here’s a summary of the key topics covered:

1. Ideal Window & DFT Complexity – Features of an ideal window and the computational complexity of direct DFT computation.
2. Goertzel Algorithm & FFT Variants – Goertzel Algorithm and the difference between DIT (Decimation in Time) and DIF (Decimation in Frequency) FFT algorithms.
3. Z-Transform & Circular Convolution – Finding the sequence from a given Z-transform and computing circular convolution of sequences.
4. DFT & IDFT Calculation – Computing DFT for a 4-point sequence using a transformation matrix and determining the Power Spectral Density (PSD).
5. Composite Number Algorithm & Parseval's Theorem – Algorithm for computing N-composite numbers and Parseval’s theorem in signal processing.
6. Continuous-Time and Discrete-Time Transfer Function – Converting a continuous-time system's transfer function (TF) into discrete form.
7. RC Circuit & Stability – Drawing an RC circuit and defining stability.
8. Even/Odd Components & Signal Energy vs Power – Finding even and odd components of given signals and differentiating between energy and power signals.

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Would you like detailed solutions or concept explanations for any specific question?

Here are 5 related questions you might find useful:

1. How does the FFT algorithm improve computational efficiency compared to direct DFT?
2. What are the advantages of using the Goertzel Algorithm for specific frequency detection?
3. How do DIT and DIF FFT algorithms differ in terms of computation and implementation?
4. What is the importance of Parseval’s theorem in digital signal processing?
5. How can we determine stability in digital signal processing systems?

💡 Tip: Understanding the Z-transform properties helps in analyzing digital systems more efficiently. 🚀