Block Diagram of a DSP System PDF

A Block Diagram of a DSP System
X (T) is the input signal. Anti-aliasing filter that can act 2 process. One process removes noise
from the signal and the other to rebuild bound input. The anti-aliasing filter is simply a low-pass
filter with a interpose frequency that is set to Nyquist frequency. This process filters high
sequence frequency satisfied in the input signal because any frequency higher than the Nyquist
frequency is integrated. An anti-aliasing filter (AAF) is a filter used to limit the signal's
bandwidth to satisfy the nyquist before the signal is sampled. Since the theory state that
abnormal signal reconstruction is possible with a sample when the frequency power above the
Nyquist frequency is zero, the brick wall filter is an ideal but unsuitable anti-aliasing filter
(AAF).
A anti aliasing filter (AAF) trades between band-width and aliasing. A practical anti-aliasing
filter usually allows some aliasing to happen or lower it or otherwise distorts some inner band
frequencies near the Nyquist limit. For this reason, many operating system models will
theoretically be required by a perfect anti aliasing filter (AAF) to ensure that all frequencies of
interest can be reconstructed, a process called over-sampling.
Send the cut-off frequency in analog to digital converter (ADC) after anti-aliasing filter. During
the analog to digital converter (ADC) process, the amplitude of the converted analog signal is
related to infinite accuracy. Continuous dimensions need to be converted into digital data with a
great deal of precision, called quantization.

There are many ways to implement Analog to Digital Converter (ADC). The most common ones
are
Flash Analog to Digital Converter (ADC)
Successive approximation Analog to Digital Converter (ADC)
Sigma-delta Analog to Digital Converter (ADC)
The sampling and holding (also called sampling and following) circuit is an analog device. The
process of constantly sampling (capturing, taking) the voltage of different analog signals and
keeping its value at a certain level for a fixed minimum period of time (freezes, locks), sampling
and Hold circuits and related peak detectors are early analog memory devices. They are
commonly used in analog to digital converter to remove variations in the input signal which can
defective the conversion process.
Send the data to the sample quantization binary encoder after the sampling process.
Quantization, in digital signal processing (DSP), is the procedure of mapping input values from
large sets (often permanent sets) to (small) set sets to output values, often with a limited number
of element. Roundups and quantization are common examples of this process.
In the procedure of this analog-to-digital converter (ADC), we use a 2-bit flash analog-to-digital
converter (ADC) to obtain a quantization binary encoder.
The Analog to digital converter unit consists of a 2 bit flash analog serial resource voltage
composed of equivalent value resistors, a set of comparability and logic unit. For example, the
resource voltages in the data are 1.25 volts, 2.5 volts, 3.75 volts, and 5 volts. If the analog pattern
and the hold voltage is Vin = 3 volts, then the following two comparability will logic to each
output. Therefore, the encoding logic circuit output a 2 bit binary code of 10.