Companding in digital communicationCompanding, short for compressing and expanding, is a technique used in digital communication systems to improve the signal-to-noise ratio (SNR) of a transmitted signal. The technique involves compressing the dynamic range of the signal before transmission and then expanding it back to its original range after reception. Companding's fundamental goal is to lower the signal's dynamic range before transmission. This is done by compressing the signal, which maps the large amplitude values of the signal to smaller amplitude values. This lowers the amount of noise in the signal, increasing the SNR of the transmitted signal in the process. The logarithmic companding is the most prevalent form of companding utilized in digital communication systems.In logarithmic companding, the signal is transformed into a logarithmic domain before transmission. By giving the signal a logarithmic function, this is accomplished. The logarithmic function maps the large amplitude values of the signal to smaller amplitude values. This lowers the amount of noise in the signal, increasing the SNR of the transmitted signal in the process. After the signal is transmitted, it is then expanded back to its original range by applying an exponential function. This is done by applying an exponential function to the logarithmically compressed signal. The exponential function maps the smaller amplitude values of the signal back to the larger amplitude values. This returns the signal's dynamic range to its original state. Another type of companding is the A-law companding which is widely used in Europe and Japan, and μ-law which is widely used in North America. The companding technique has a number of advantages in digital communication systems. It enhances the transmitted signal's SNR, which is one of the key benefits. This is due to the fact that the companding procedure lowers the signal's noise amplitude, which raises the transmitted signal's SNR. Companding also lessens the quantity of data that needs to be delivered, which is a benefit.This is because the companding process reduces the dynamic range of the signal, which in turn reduces the number of bits required to represent the signal. When the communication channel's bandwidth is constrained, this might be helpful. Quantization noise's negative effects are also mitigated via companding. The noise that is added when a continuous signal is transformed into a discrete signal is known as quantization noise.The companding process reduces the amplitude of the quantization noise, which in turn improves the SNR of the transmitted signal. Advantages of Companding:
Disadvantages of Companding:
When selecting whether or not to employ companding in a certain system, it is crucial to weigh its benefits and drawbacks. Next TopicCreate and access package in python |
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