ALGOWAVE

Which mathematical tool is used to convert a signal from the time domain to the frequency domain?

• Fourier transformation

• Laplace transformation

• Wavelet transformation

• Z-transform

What term describes the process of converting continuous signals into discrete signals for digital processing?

• Sampling

• Quantization

• Compression

• Modulation

What type of filter has both a finite impulse response and a finite-duration response to step inputs?

• IIR filter

• FIR filter

• Butterworth filter

• Chebyshev filter

Which machine learning technique is commonly used for signal denoising tasks?

• Decision trees

• Support vector machines

• Neural network

• K-means clustering

What transformation technique is known for its ability to analyze signals with both time and frequency localization properties?

• Fourier transformation

• Wavelet transformation

• Short-time fourier transformation

• Discrete cosine transformation

In signal processing, what is a key consideration when choosing algorithms due to resource constraints?

• Computational complexity

• Signal-to-noise ratio

• Signal amplitude

• Sampling rate

Which technique is used for anomaly detection in time series data by learning patterns of normal behavior?

• Clustering

• Regression

• Classification

• Autoencoders

Which factor is crucial in determining the appropriate sampling rate for a signal processing application?

• Signal amplitude

• Bandwidth of the signal

• Signal-to-noise ratio

• Computational complexity

How can machine learning algorithms be applied to improve speech recognition systems?

• By optimizing convolutional filters

• By reducing the sampling rate of audio signals

• By learning phonetic patterns from data

• By increasing the signal-to-noise ratio

Which technique is used to convert a digital signal from one sampling rate to another?

• Interpolation

• Quantization

• Decimation

• Modulation