What is quantization and quantization level?

What is quantization and quantization level?

Quantizing an Analog Signal The quantizing of an analog signal is done by discretizing the signal with a number of quantization levels. Quantization is representing the sampled values of the amplitude by a finite set of levels, which means converting a continuous-amplitude sample into a discrete-time signal.

What is relationship between quantization levels and no of bits?

Quantization error can be reduced by increasing the number of bits N for each sample. This will make the quantization intervals smaller, reducing the difference between the analog sample values and the quantization levels. The figure below is the same analog signal quantized with 4-bits per sample.

What is the range of a quantized signal?

A segment of an analog signal waveform is shown in Fig. 23 with the periodic sampling signal and an eight-level quantizer ( Q = 2 3) superimposed. If we assume that each level represents 0.125 V, then the range of the input signal that can be accurately represented is 0 to 0.875 V (0 to 7 times 0.125 V).

How is the rate of transmission related to the bandwidth?

Specifically, in a noise-free channel, Nyquist tells us that we can transmit data at a rate of up to bits per second, where B is the bandwidth (in Hz) and M is the number of signal levels.

How is the signal to quantization noise ratio determined?

The theoretical maximum peak-to-peak signal-to-quantization-noise ratio (SNR), or dynamic range, of the quantized signal is determined by the number of levels ( Q) selected, but is also influenced by the shape of the sampling pulse and the relationship between the maximum bandwidth of the signal, fA, and the sampling frequency, fS.

How is quantization used to convert waveforms to digital signals?

The conversion of a waveform into a set of digital signals starts with quantization of the wave to produce a set of numbers. The greater the number of quantization levels, the more precise the digital representation, but excessive quantization is wasteful in terms of the time required. This brings us to the second problem, however.