Hi, I am looking for someone to write an article on sub-band coding and scalar quantization Paper must be at least 1250 words. Please, no plagiarized work! This project was actualized for the purpose of comparing the performance of two different algorithms used for data compression, namely Sub-band Coding and Scalar Quantization as applied in audio and speech data.It is a scientific fact that between weak and strong sounds, the weaker sounds cannot be perceived at all by the human ear. This is the principle behind the practice of digitally compressing audio and speech. Thus, if digital compression removes the weaker sounds that cannot be heard anyway, then this process will never affect the quality of the sound in general. This is the principle of the Simultaneous Masking effect. Therefore, it is the signal processing techniques that make it possible to reduce the bit rate while not causing any damaging quality to the sound that is being perceived.The method of digitally compressing sound becomes most effective in such a case where both the sound the perceived and the removed sounds are in the same frequency band. Thus, if one uses sub-band coders in this situation, then one can expect the separation and individual quantization of low and high-frequency bands. Thus, sub-band coders are useful. However, just like in all data compression techniques, there must be a balance that should exist between the quality and bit rate of the signal. Overdoing the compression of the signal will only result in poorer output quality, and vice versa. Thus, the sub-band coding technique is also popularly known as the lossy compression method. 2].The principle of Sub-band coding for audio was conceived by R. E. Crochiere. Through the use of a filter bank, the input signal is basically split up into various bands. What follows next is the downsampling of the outputs of these filters and their coding for transmission. At the receiver end, there is a decoding of the signals. These signals are .then upsampled and then passed through a separate filter bank. This filter bank is the one responsible for the reconstruction of the signals. This is followed by the addition of the signals and their amplification for the purpose of reviving the original signal.
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