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Questions and Answers
What do complex numbers represent in terms of signal processing?
What do complex numbers represent in terms of signal processing?
Which notation represents both magnitude and phase for frequency components?
Which notation represents both magnitude and phase for frequency components?
In polar notation, what does the magnitude indicate?
In polar notation, what does the magnitude indicate?
Why are complex numbers particularly useful for digital systems?
Why are complex numbers particularly useful for digital systems?
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What does the phase angle in polar notation tell us?
What does the phase angle in polar notation tell us?
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What is the total amount of levels for a 10 bit resolution ADC?
What is the total amount of levels for a 10 bit resolution ADC?
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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?
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?
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What is the maximum quantization error for a 10 bit ADC with a resolution of 4.88 mV?
What is the maximum quantization error for a 10 bit ADC with a resolution of 4.88 mV?
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How does quantization error typically behave compared to the actual signal?
How does quantization error typically behave compared to the actual signal?
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What is the formula used to calculate the LSB for an ADC?
What is the formula used to calculate the LSB for an ADC?
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What determines the number of quantization levels in an ADC?
What determines the number of quantization levels in an ADC?
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In a 10 bit ADC system, which scenario would lead to a lower maximum quantization error?
In a 10 bit ADC system, which scenario would lead to a lower maximum quantization error?
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Which of the following statements is true regarding the relationship between quantization error and the number of bits in an ADC?
Which of the following statements is true regarding the relationship between quantization error and the number of bits in an ADC?
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What is the primary purpose of the Short-Time Fourier Transform (STFT)?
What is the primary purpose of the Short-Time Fourier Transform (STFT)?
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How does the STFT process a signal?
How does the STFT process a signal?
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What limitation does the standard Fourier transform have that is addressed by the STFT?
What limitation does the standard Fourier transform have that is addressed by the STFT?
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What type of window function is typically applied in the STFT process?
What type of window function is typically applied in the STFT process?
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What is one advantage of using overlapping segments in STFT?
What is one advantage of using overlapping segments in STFT?
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In the context of STFT, what is a key characteristic of non-stationary signals?
In the context of STFT, what is a key characteristic of non-stationary signals?
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Which element is crucial for analyzing smaller time windows in STFT?
Which element is crucial for analyzing smaller time windows in STFT?
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What step immediately follows applying a window function in the STFT process?
What step immediately follows applying a window function in the STFT process?
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What does the real part of a complex number represent in rectangular notation?
What does the real part of a complex number represent in rectangular notation?
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In a DFT plot, what does the magnitude spectrum indicate?
In a DFT plot, what does the magnitude spectrum indicate?
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Which of the following best describes the imaginary parts of complex numbers in rectangular notation?
Which of the following best describes the imaginary parts of complex numbers in rectangular notation?
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What type of chart is depicted in a DFT plot?
What type of chart is depicted in a DFT plot?
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What mathematical representation is used when expressing complex numbers in rectangular notation?
What mathematical representation is used when expressing complex numbers in rectangular notation?
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What determines the overall repeating pattern of a periodic signal?
What determines the overall repeating pattern of a periodic signal?
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What is the relationship between frequency resolution, sampling frequency, and the number of samples?
What is the relationship between frequency resolution, sampling frequency, and the number of samples?
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Which statement accurately describes periodic signals?
Which statement accurately describes periodic signals?
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What effect does an anti-alias filter have on a signal?
What effect does an anti-alias filter have on a signal?
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What is the significance of the power line noise in frequency analysis?
What is the significance of the power line noise in frequency analysis?
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Which of the following best describes white noise?
Which of the following best describes white noise?
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How is the fundamental frequency of a signal denoted?
How is the fundamental frequency of a signal denoted?
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What characterizes a signal as being periodic?
What characterizes a signal as being periodic?
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What does the DFT of a cosine wave produce in the frequency domain?
What does the DFT of a cosine wave produce in the frequency domain?
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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?
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?
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For the function x(t) = cos(2π10t), where are the peaks located in the DFT?
For the function x(t) = cos(2π10t), where are the peaks located in the DFT?
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How is an impulse signal represented mathematically?
How is an impulse signal represented mathematically?
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What does the DFT of an impulse signal indicate about its frequency components?
What does the DFT of an impulse signal indicate about its frequency components?
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Which property of the DFT is demonstrated by the cosine wave?
Which property of the DFT is demonstrated by the cosine wave?
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What does the negative peak in the DFT of a cosine wave represent?
What does the negative peak in the DFT of a cosine wave represent?
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For a cosine wave with an angular frequency of ω = 2π10 rad/s, what is its corresponding frequency in Hertz?
For a cosine wave with an angular frequency of ω = 2π10 rad/s, what is its corresponding frequency in Hertz?
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Which of the following statements about the DFT of a cosine wave is true?
Which of the following statements about the DFT of a cosine wave is true?
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What does the flat shape of the DFT of an impulse signal imply?
What does the flat shape of the DFT of an impulse signal imply?
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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.