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(CPE 531 ) DSP Mock Exam

University of Ilorin

Prepare for your Digital Signal Processing course at the University of Ilorin with this comprehensive DSP Mock Exam 2. Designed for 500 Level Computer Engineering students, this theory-based exam covers essential topics including Analog-to-Digital Conversion, Sampling Theorem, Quantization, Z-Transforms, DFT, Convolution, and LTI System Properties. Test your understanding and identify areas for improvement to excel in your upcoming assessments.

3 weeks ago
10 Questions
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300m
Duration

About This Exam

Prepare for your Digital Signal Processing course at the University of Ilorin with this comprehensive DSP Mock Exam 2. Designed for 500 Level Computer Engineering students, this theory-based exam covers essential topics including Analog-to-Digital Conversion, Sampling Theorem, Quantization, Z-Transforms, DFT, Convolution, and LTI System Properties. Test your understanding and identify areas for improvement to excel in your upcoming assessments.

Topics Covered

- Analog-to-Digital Conversion (ADC) Principles

Exam Structure

  • Question Formattheory
  • Total Questions10
  • Estimated Duration300 minutes
  • Difficulty LevelMedium

Learning Objectives

  • Understand and apply Analog-to-Digital Conversion (ADC) principles, including quantization and sampling.

Prerequisites

A strong foundation in signals and systems, basic calculus, complex numbers, and linear algebra is assumed. Familiarity with introductory digital signal processing concepts is beneficial.

Sample Questions

Get a taste of what to expect in the full exam.

1
THEORYQuestion

Consider a discrete-time system described by the input-output relationship: y[n]=nx[n]+x[n1]y[n] = n \cdot x[n] + x[n-1] where x[n]x[n] is the input and y[n]y[n] is the output.

a) Determine if the system is linear. Provide a step-by-step demonstration of your conclusion.

b) Investigate if the system is time-invariant. Clearly show your working.

c) Determine whether the system is causal. Explain your reasoning.

d) For an LTI system, stability is determined by its impulse response. Consider an LTI system with the impulse response h[n]=(0.5)nu[n]h[n] = (0.5)^n u[n]. i) Determine if this system is stable. Justify your answer using the appropriate stability criterion. ii) If the input to the system from part (d) is x[n]=δ[n1]x[n] = \delta[n-1], calculate the output y[n]y[n].

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2
THEORYQuestion

A continuous-amplitude analog signal, x(t)x(t), is sampled and then quantized using a 3-bit quantizer. The sampled values of x[n]x[n] range over the interval [4V,4V][-4V, 4V].

a) Calculate the step size (Δ\Delta) for this quantizer. Determine all the quantization levels (XqX_q) and their corresponding binary codes. Present your answer in a tabular format showing the level index (qq), decision interval, quantization level (XqX_q), and binary code.

b) Given the sequence of sampled signals x[n]=[3.2V,0.8V,2.1V,1.9V,3.7V]x[n] = [-3.2V, 0.8V, 2.1V, -1.9V, 3.7V], quantize these values using the levels determined in part (a). For each sample, state its quantized value and calculate the quantization error (eq=XqXe_q = X_q - X).

c) If the number of bits used for quantization were increased from 3 bits to 4 bits, explain how this change would affect the quantization noise power.

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3
THEORYQuestion

A continuous-time analog signal, x(t)x(t), is to be converted into a digital signal using an Analog-to-Digital Converter (ADC). The signal's amplitude is defined over a range of 10V-10V to 10V10V.

a) If a 4-bit ADC is used for quantization, determine the following: i) The total number of quantization levels, LL. ii) The step size (quantum), Δ\Delta, for uniform quantization. iii) The quantization levels, XqX_q, for each index qq.

b) Suppose a sequence of sampled values from the analog signal is x[n]=[7.2V,0.8V,4.5V,3.1V,9.6V]x[n] = [ -7.2V, 0.8V, 4.5V, -3.1V, 9.6V ]. i) Quantize each sample value to its corresponding representation level determined in part (a). ii) Calculate the quantization error, eq=XqXe_q = X_q - X, for each quantized sample.

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How to Prepare

Key Preparation Tips

  • Review lecture notes and textbooks thoroughly, focusing on the provided topics.

Mistakes to Avoid

  • Errors in applying sampling theorem and calculating aliased frequencies.

Success Criteria

Achieving a high score by correctly answering the majority of questions, demonstrating a solid understanding of DSP principles and their application. Successfully applying formulas, theorems, and analytical methods to solve quantitative problems.

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