Sampling in Digital Communication
1. What is the bit depth or resolution in quantization?
The amount of bits utilized to represent each sample is referred to as bit depth, also known as resolution. A higher bit depth enables more precise representation but necessitates more data transmission.
2. What role does sampling rate play in digital communication?
The sampling frequency determines how frequently samples from the continuous signal are obtained. It has a direct impact on the amount of data retained and the bandwidth required for transmission.
3. What effect does the sample method (e.g., uniform, non-uniform) have on digital communication?
The sampling method used influences the accuracy of signal reconstruction, the system’s complexity, and the computer resources required. Non-uniform sampling, for example, is more difficult yet may be required for some signals.
Sampling in Digital Communication
Sampling in digital communication is converting a continuous-time signal into a discrete-time signal. It can also be defined as the process of measuring the discrete instantaneous values of a continuous-time signal.
Digital signals are easier to store and have a higher chance of repressing noise. This makes sampling an important step in converting analog signals to digital signals with its primary purpose as representing analog signals in a discrete format.
- Sampling Process in Digital Communication
- Nyquist – Shannon Sampling Theorem
- Oversampling & Undersampling
- Aliasing
- Why Sampling is Required?
- Methods of Sampling
- Scope of Fourier Transform
- Solved Examples on Sampling