Table of Contents
What is low pass channel?
A baseband channel or lowpass channel (or system, or network) is a communication channel that can transfer frequencies that are very near zero. Frequency division multiplexing (FDM) allows an analog telephone wire to carry a baseband telephone call, concurrently as one or several carrier-modulated telephone calls.
What does the Nyquist theorem have to do with communication?
The Nyquist theorem established the principle of sampling continuous signals to convert them to digital signals. In communications theory, the Nyquist theorem is a formula stating that two samples per cycle is all that is needed to properly represent an analog signal digitally.
What is channel filter in communication?
Filtering channels Any environment (like air, cox cables, fiber optics, etc.), would only be able to pass specific frequency band of. a signal. Based on the frequency band that the channel can pass, various types of channels would be defined as: Low Pass, High Pass, Band Pass and Band Stop.
Why is sampling required for DSP?
To convert a signal from continuous time to discrete time, a process called sampling is used. The value of the signal is measured at certain intervals in time. If the signal contains high frequency components, we will need to sample at a higher rate to avoid losing information that is in the signal.
What do you mean by low-pass and bandpass channels?
“A low-pass channel has a bandwidth starting from zero; a band-pass channel has a bandwidth that does not start from zero.”
What is low-pass signal and band pass?
Lowpass signals are low frequency signals it has upper cut off frequency above which does allowed through the systems. Where as band pass signals has certain range of frequency it has upper cut of frequency and lower cut off frequency.
Why Nyquist Shannon theorem is important in digital communication?
Nyquist’s theorem specifies the maximum data rate for noiseless condition, whereas the Shannon theorem specifies the maximum data rate under a noise condition. The Nyquist theorem states that a signal with the bandwidth B can be completely reconstructed if 2B samples per second are used.
Why is Nyquist theorem important?
This theorem was the key to digitizing the analog signal. Nyquist’s work states that an analog signal waveform can be converted into digital by sampling the analog signal at equal time intervals. Even today as we digitize analog signals, Nyquist’s theorem is used to get the job done.
Why filter is important for communication or electronic circuit?
Filters are essential building blocks of any Electronic and Communication Systems that alter the amplitude and/or phase characteristics of a signal with respect to frequency. Filter is basically linear circuit that helps to remove unwanted components such as Noise, Interference and Distortion from the input signal.
What is the purpose of filter?
Filters are systems or elements used to remove substances such as dust or dirt, or electronic signals, etc., as they pass through filtering media or devices. Filters are available for filtering air or gases, fluids, as well as electrical and optical phenomena. Air filters are used for cleaning the air.
What effect is caused by under sampling?
Discussion Forum
| Que. | The effect caused by under sampling is called |
|---|---|
| b. | sharpening |
| c. | summation |
| d. | aliasing |
| Answer:aliasing |
What is meant by sampling in DSP?
In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. A common example is the conversion of a sound wave (a continuous signal) to a sequence of samples (a discrete-time signal). A sample is a value or set of values at a point in time and/or space.