The plot below shows a sampled continuous signal, with red dots indicating sample points. Determine if the signal has been sampled appropriately, so as to avoid aliasing. For the case where the signal has not been sampled appropriately determine the aliased frequency and enter the result in the answer field below (enter a numerical value only +- 5% tolerance). For the case where the signal has been sampled sufficiently enter the sampling frequency. Amplitude 30 20 10 0 -10 -20 -30 0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 Time (seconds) 0.09 0.1

Q: Frequency modulated signal with single-tone modulation has a frequency deviation of 15 kHz and…

A: For a frequency modulated system, the following data is given:frequency deviation,, the following…

Q: Solve in digital format please In your words, describe what the signal modulation process consists…

A: Given:  Brief description: In the given question they want to know the process of modulation of low…

Q: B) List out and explain briefly the sampling types.

A: List out and explain briefly sampling types Sampling-: Sampling refers to the process of converting…

Q: sampling theorem?

A: Sampling theorem:-                  When a source generates an analog signal and if that has…

Q: A carrier signal of 12 V amplitude is modulated by an information signal to a depth of 90%.…

A:

Q: The spectrum of a signal extends from 200 to 3200 Hz. The minimum sampling frequency required is a.…

A: Bandwidth of the signal is  3200-200 = 3kHz

Q: An analog signal of maximum frequency 5KHz is sampled at a certain sampling frequency. The…

A: Sampling frequency should be 2 time the message frequency.

Filter

A filter is a device or process which removes some of the unwanted features or components like frequencies from a signal in signal processing. The feature of filters is the complete or partial suppression of some part of the signal, and filtering is a class of signal processing. This most often means removing some frequency bands or some frequencies. In the frequency domain, the filters do not exclusively act, especially in the image processing field many other targets for filtering exist. Without having to act in the frequency domain, the correlations can be removed for certain frequency components and not for others. The filters are widely used in electronics and telecommunication, in television, radio, radar, audio recording, music synthesis, control systems, computer graphics, and image processing.