Digitally Companded PCM System. Algorithm for bit to 8-bit Digital Compression. The 8-bit compressed code consist of sign bit, three bit. This article aims to explain the logarithmic laws of companding and the methods of Companding in PCM based digital telephone systems. Analog-to-digital conversion-based pulse coded modulation (PCM) systems have A PCM-Based Telephone System without Companding.

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Algorithm for bit to 8-bit Digital Compression. This means by making use of companding, we can quantize our speech signal with fewer levels while maintaining the required amount of fidelity. Professional wireless microphones do this since the dynamic range of the microphone audio signal itself is larger than the dynamic range provided by radio transmission.

COMPANDING – is the process of compressing and then expanding – ppt video online download

The blue line represents analog signal while the red one represents the quantized signal. Why we need to compress data?

Or we can say For audio analog signals, the amplitude of weak signals is raised and the amplitude of strong signals is decreased, thereby altering compressing and expanding the dynamic range of the signals. Here, Figure 4a re-emphasizes the fact that smaller step-size is always better when exactly we need to replicate the original signal.

This term is also known as compansion.

As shown in table below, bit positions designated with X are truncated during compression and subsequently lost. While the dynamic range compression used in audio ppcm and the like depends on a variable-gain amplifierand so is a locally linear process linear for short regions, but not globallycompanding is non-linear and takes compaanding in the same way at all points in time.

Monday, 7 March Types of Companding. Another application of companding involves professional wireless microphones, which have a larger dynamic range than is possible through radio transmission. For a resolution of V, determine the following quantities for sydtems indicated input voltages: The sign bit is also transmitted as it is. The quality of a Quantizer output depends upon the number of quantization levels used. The samples that are highly correlated, when encoded by PCM technique, leave redundant information behind.


Modulation Techniques

The process involves decreasing the number of bits used to record the strongest loudest signals. A Brief Background Telephone systems have been in high demand since their invention and have evolved from public switched telephone networks PSTNs to modern wireless digital mobile systems.

I hope you’ve gained a superficial knowledge of companding and its importance in the field of telecommunications. Retrieved from ” https: The theorem associated with the process is the well-known Nyquist theoremwhich states that faithful recovery of the transmitted signal is feasible only when it is sampled at least at the rate of twice the highest frequency contained within it.

Now, our next question would be very similar to that in the case of sampling – how do we decide when to define our signal along its amplitude-axis? September 14, by Sneha H.

Human speech is composed of different amplitude utterances and sounds called phonemes, and possesses a large dynamic range. The quieter phonemes of speech occur more compandiny and contain more information than the louder phonemes.

During compression, an analog signal is quantized to create a digital signal using unequal steps in order to amplify the quiet sounds while attenuating the loud ones. In the transmission of pictures by electric currents, the method which consists in sending currents varied in a non-linear relation to the light values systemx the successive elements of the picture to be transmitted, and at the receiving systemw exposing corresponding elements of a sensitive surface to light varied in inverse non-linear relation to the received current.

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This article explains the process and implementation of companding in PCM based telephone systems by adhering to logarithmic companding laws. Compliance is Not Enough: Shstems process this redundant information and to have a better output, it is a wise decision to take predicted sampled values, assumed from its previous outputs and summarize them with the quantized values.

The name is a portmanteau of the words com pressing and ex panding. It compresses the signals before transmitting on a band-limited channel and expands them when received. Conversely, at the receiver, the digital signal is converted back to an analog signal after expansion, in which the low amplitude signals are amplified less when compared to compaanding ones.


Then, it is expanded at the receiving end using the same non-linear scale to restore it to its original form, but with reduced noise and crosstalk levels meaning reduced disruption of, or interference with, signals in an adjacent circuit. The discrete amplitudes of the quantized output are called as representation levels or reconstruction levels.

This is important in the present context because we know from the discussion presented in the section on human speech and hearing mechanism that our signal of interest, speech, comprises of wide range of amplitudes. That is, quantization using large step-size still produces acceptable results when the signal amplitude is higher. To accomplish this in our case, let us retrace our path through the article while pondering over two important points. Analog to Digital Conversion.

This is a non-linear technique used in PCM which compresses the data at the transmitter and expands the same data at the receiver. Smaller signals are represented with greater precision — more data bits — than larger signals. Both of these systfms convert bit linear PCM signal data into 8-bit logarithmic data. Negative Feedback, Part 5: The details of companding techniques and its other advantages will be covered in the next article in this series. About project SlidePlayer Terms ssystems Service.

The compression Characteristics A-Law companding is.

Companding is the process in which the signal is coded using unequal quantization levels. Systeme next bits are ABCD values. The process involves decreasing the number of bits used to record the strongest loudest signals. Newer Post Older Post Home.