Sensor Technology and Programming Basics
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Questions and Answers

What do complex numbers represent in terms of signal processing?

  • The duration of the signal
  • The frequency of the sound waves
  • The amplitude and phase of the frequency components (correct)
  • The number of samples in the recording
  • Which notation represents both magnitude and phase for frequency components?

  • Exponential notation
  • Polar notation (correct)
  • Rectangular notation
  • Harmonic notation
  • In polar notation, what does the magnitude indicate?

  • The duration of the signal
  • The amplitude of a frequency component (correct)
  • The offset of the sinusoid in time
  • The frequency of the signal
  • Why are complex numbers particularly useful for digital systems?

    <p>They help in the analysis of frequency components</p> Signup and view all the answers

    What does the phase angle in polar notation tell us?

    <p>The offset of the sinusoid in time</p> Signup and view all the answers

    What is the total amount of levels for a 10 bit resolution ADC?

    <p>1024</p> Signup and view all the answers

    What is the approximate value of the Least Significant Bit (LSB) for an ADC with a 0 to 5 volts input range at 10 bit resolution?

    <p>4.88 mV</p> Signup and view all the answers

    What is the maximum quantization error for a 10 bit ADC with a resolution of 4.88 mV?

    <p>+- 2.44 mV</p> Signup and view all the answers

    How does quantization error typically behave compared to the actual signal?

    <p>It resembles random noise</p> Signup and view all the answers

    What is the formula used to calculate the LSB for an ADC?

    <p>$\frac{5 V}{1024}$</p> Signup and view all the answers

    What determines the number of quantization levels in an ADC?

    <p>The resolution in bits</p> Signup and view all the answers

    In a 10 bit ADC system, which scenario would lead to a lower maximum quantization error?

    <p>Increasing the bit resolution</p> Signup and view all the answers

    Which of the following statements is true regarding the relationship between quantization error and the number of bits in an ADC?

    <p>More bits decrease quantization error exponentially</p> Signup and view all the answers

    What is the primary purpose of the Short-Time Fourier Transform (STFT)?

    <p>To analyze non-stationary signals and their frequency changes over time.</p> Signup and view all the answers

    How does the STFT process a signal?

    <p>It divides the signal into smaller overlapping segments and computes a Fourier transform for each segment.</p> Signup and view all the answers

    What limitation does the standard Fourier transform have that is addressed by the STFT?

    <p>It lacks a time dimension, providing only frequency information without timing details.</p> Signup and view all the answers

    What type of window function is typically applied in the STFT process?

    <p>Hamming window function.</p> Signup and view all the answers

    What is one advantage of using overlapping segments in STFT?

    <p>It helps to capture transient signals more accurately.</p> Signup and view all the answers

    In the context of STFT, what is a key characteristic of non-stationary signals?

    <p>Their frequency content varies with time.</p> Signup and view all the answers

    Which element is crucial for analyzing smaller time windows in STFT?

    <p>The time resolution of the segments.</p> Signup and view all the answers

    What step immediately follows applying a window function in the STFT process?

    <p>Computing the Fourier transform for the windowed segment.</p> Signup and view all the answers

    What does the real part of a complex number represent in rectangular notation?

    <p>Amplitudes of the cosine waves</p> Signup and view all the answers

    In a DFT plot, what does the magnitude spectrum indicate?

    <p>The energy of the signal at each frequency</p> Signup and view all the answers

    Which of the following best describes the imaginary parts of complex numbers in rectangular notation?

    <p>They correspond to the amplitudes of sine waves.</p> Signup and view all the answers

    What type of chart is depicted in a DFT plot?

    <p>Magnitude versus frequency plot</p> Signup and view all the answers

    What mathematical representation is used when expressing complex numbers in rectangular notation?

    <p>Real and imaginary parts</p> Signup and view all the answers

    What determines the overall repeating pattern of a periodic signal?

    <p>Fundamental frequency</p> Signup and view all the answers

    What is the relationship between frequency resolution, sampling frequency, and the number of samples?

    <p>Frequency resolution = fs / N</p> Signup and view all the answers

    Which statement accurately describes periodic signals?

    <p>They have a fundamental frequency if they repeat over time.</p> Signup and view all the answers

    What effect does an anti-alias filter have on a signal?

    <p>It reduces the bandwidth of high-frequency signals</p> Signup and view all the answers

    What is the significance of the power line noise in frequency analysis?

    <p>It can introduce unwanted harmonics into the signal</p> Signup and view all the answers

    Which of the following best describes white noise?

    <p>A continuous signal with uniformly distributed frequency content</p> Signup and view all the answers

    How is the fundamental frequency of a signal denoted?

    <p>f_0</p> Signup and view all the answers

    What characterizes a signal as being periodic?

    <p>Repeating itself over a specific time duration</p> Signup and view all the answers

    What does the DFT of a cosine wave produce in the frequency domain?

    <p>Two peaks at ± f_0</p> Signup and view all the answers

    What is the relationship between the amplitude of the peaks produced by the DFT of a cosine wave and the amplitude of the cosine wave itself?

    <p>The amplitude of each peak corresponds to half the amplitude of the cosine wave.</p> Signup and view all the answers

    For the function x(t) = cos(2π10t), where are the peaks located in the DFT?

    <p>At frequencies ±10 Hz</p> Signup and view all the answers

    How is an impulse signal represented mathematically?

    <p>x[n] = {1, n = 0; 0, otherwise}</p> Signup and view all the answers

    What does the DFT of an impulse signal indicate about its frequency components?

    <p>All frequency components are equally present.</p> Signup and view all the answers

    Which property of the DFT is demonstrated by the cosine wave?

    <p>It shows symmetrical frequency peaks.</p> Signup and view all the answers

    What does the negative peak in the DFT of a cosine wave represent?

    <p>A reflection of the positive frequency.</p> Signup and view all the answers

    For a cosine wave with an angular frequency of ω = 2π10 rad/s, what is its corresponding frequency in Hertz?

    <p>10 Hz</p> Signup and view all the answers

    Which of the following statements about the DFT of a cosine wave is true?

    <p>It appears as discrete delta functions at certain frequencies.</p> Signup and view all the answers

    What does the flat shape of the DFT of an impulse signal imply?

    <p>The signal comprises all frequencies equally.</p> Signup and view all the answers

    Study Notes

    Sensor Technology

    • Sensor technology encompasses the basics of sensors, resistive sensors, capacitive and inductive sensors, and microphones.
    • Signal analysis involves signals and statistics, number representation, linear systems, Fourier transform, and frequency plots.

    Programming

    • MATLAB's primary windows include: command window, workspace, and editor.
    • Arrays are general data structures, whereas matrices are two-dimensional arrays.
    • Parentheses are for indexing and function calls, while square brackets create arrays and matrices.

    Lecture 2 - Number representation

    • Integer representation includes unsigned (positive values) and signed (positive and negative).
    • Real numbers, such as floating-point, employ IEEE standards (single and double precision).

    Lecture 3 - Linear Systems

    • A system is linear if homogeneity (scaling) and additivity (superposition) are satisfied.
    • Linear time-invariant (LTI) systems are predictable and amenable to Fourier analysis.

    Lecture 4 - Capacitive and Inductive Sensors

    • Capacitive and inductive sensors (e.g., humidity sensor, condenser microphone, touch screen)
    • Their parameters change capacitance of a plate capacitor.

    Lecture 5 - Microphones

    • Microphone types (e.g., condenser, dynamic, ribbon, carbon) and their advantages and disadvantages.

    Lecture 6 - Signals and Statistics

    • Signal analysis defines how one parameter relies on another.
    • Continuous/discrete signals and time/frequency domains.
    • Analog-to-digital converters produce discrete/digitized signals.
    • Sampling: Convert independent variables from continuous to discrete.
    • Quantization: Convert dependent variables from continuous to discrete.

    Lecture 7 - Filters

    • Types of filters (e.g., low-pass, high-pass, band-pass, band-reject).
    • Effects of different filters in specific frequency ranges.

    Lecture 8 & 9 - FIR and IIR Filters

    • FIR and IIR filters (finite impulse response, infinite impulse response)

    MATLAB Code Explanation (Step 1)

    • Data loading uses file paths stored in a cell array for flexibility.
    • File input and error handling are central aspects.
    • String splitting extracts data elements for parsing.

    MATLAB Code Explanation (Step 2 - Time Data Editing)

    • Converts time strings into a datetime format for data analysis.
    • Calculates the elapsed time.
    • Converts these to numeric values for data processing.

    MATLAB Code Explanation (Step 3 - Data Validation)

    • Plots both raw and filtered data.
    • Identifies noisy data segments.
    • Provides a visual comparison for data analysis.

    MATLAB Code Explanation (Step 4)

    • Calculates sampling frequency from time stamps.
    • Converts time stamps into a numerical form (seconds).

    MATLAB Code Explanation (Step 5)

    • Removes Direct Current (DC) offset by subtracting the mean from the signal.
    • Centering the signal around zero helps analysis.

    MATLAB Code Explanation (Step 6)

    • Computes the Fast Fourier Transform (FFT).
    • Generates frequency vectors for analysis..
    • Isolates positive frequencies.

    MATLAB Code Explanation (Step 7)

    • Plotting subplots for comparing the FFTs of unfiltered and filtered signals for easier analysis of the effects of filtering.

    MATLAB Code Explanation (Step 8)

    • Identifies peaks in the filtered signal.
    • Marks the peaks and provides useful plotting functions.

    MATLAB Code Explanation (Step 9)

    • Identifies peaks in a signal where amplitude is above a threshold..
    • Plotting functions effectively highlight the peaks.
    • Plotting the data with a horizontal reference to aid visual interpretation

    MATLAB Code Explanation (Step 10)

    • Calculates the average interval between peaks.
    • Measures the heart rate in beats per minute (BPM).

    Questions to Prepare for the Final Exam

    • Explain the overall structure of the code.
    • Detail data loading, validating, and pre-processing steps.
    • Explain the purpose of various MATLAB commands.

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    Description

    This quiz covers fundamental concepts in sensor technology, including resistive, capacitive, and inductive sensors, as well as signal analysis techniques such as Fourier transform. Additionally, it explores MATLAB programming, focusing on data structures like arrays and matrices and their usage in numerical computations.

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