The study of the digital representation of signals is known as digital signal processing. It converts all the real world signals into digital form with the aid of an Analog to Digital Converter. On completion of the processing, the digital signal is converted back to Analog form using Digital to Analog Converter.
The Advantages of a Digital Signal Processing
DSP has a high level of accuracy. The filters designed in DSP have firm control over output accuracy as compared to analog filters.
The reconfiguration in an analog system is very much tough because the entire hardware and its component will have to be changed. On the contrary, a DSP reconfiguration is much more comfortable as only the code, or the DSP program needs to be flashed after making the changes according to the requirements.
The interface types offered by DSP are many like UART, 12C, and others. This helps in interfacing other ICs with the DSP.
The combination of DSP interfaced with FPGA helps in designing the protocol stack of the whole wireless system like WiMAX, LTE, etc. In this type of architecture, as per the latency requirements, few of the modules are ported on FPGA and the other few on DSP.
Implementation in digital is much more cost effective than its analog counterpart.
The digital system in DSP can be easily cascaded without any problems in loading.
Digital circuits can be easily reproduced in huge quantities cost effectively.
Accessible transportation is possible because digital signals can be processed offline.
Using the DSP method sophisticated signal processing algorithms can be implemented.
The Disadvantages of a Digital Signal Processing
When using DSP, there is a need for using anti-aliasing filter before ADC ( Analog To Digital Converter) as well as using a reconstruction filter after DAC (Digital to Analog Converter). Due to the use of this extra two modules viz. ADC and DAC, the complexity of DSP based hardware increases.
Digital Signal Processing(DSP) processes the signal at high speed and comprises of more top internal hardware resources. Because of this DSP dissipates higher power as compared to analog signal processing. Analog signal processing includes passive components that consume lower energy.
Each DSP has a different hardware architecture and software instructions. Due to this, only highly skilled engineers can program the device. Proper training on DSP is required for programming for various applications.
One needs to cautiously use the IC as per hardware and software requirements as most of the DSP chip is very expensive.
Only in a synchronized communication system, the detection of digital signals is possible but it not so in the case of analog systems.
Higher bandwidth is required for digital communication than analog for transmission of the same information.