{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

L4-Quantisation - Amplitude Quantisation Sampling of an...

Info icon This preview shows pages 1–4. Sign up to view the full content.

View Full Document Right Arrow Icon
1 Amplitude Quantisation Sampling of an analog signal, such as voice, will produce signal samples, which have continuous range of amplitudes. In other words, each signal sample is represented by an infinite number of amplitude levels. However, human hearing can detect only finite intensity differences. As a result, it is only necessary to approximate the original analog signal with signal samples of finite number of amplitude levels. The process of transforming the sample amplitude ) ( s nT m of an analog message signal ) ( t m at time s nT t = into a discrete amplitude ) ( s nT y taken from a finite set of possible amplitudes is called amplitude quantisation. The device used for quantisation is often referred to as the quantiser. Here, it is assumed that the quantisation process is memoryless and instantaneous . This means that the transformation of the sample amplitude at time s nT t = is not affected by earlier or later samples of the message signal. Consider a memoryless quantiser as shown: The signal amplitude m is specified by the index k if it lies inside the amplitude interval L k m m m Q k k k ,..., 2 , 1 }, { : 1 = < + , where L is the total number of amplitude levels used in the quantiser. The amplitudes m k , k=1,2,…,L , are called decision levels or decision thresholds. The output amplitudes y k k=1,2,…,L are called the representation levels or reconstruction levels. The interval between two adjacent representation levels is called a quantum or step size. Quantiser g ( m ) Continuous sample m ( nT s ) Discrete sample y ( nT s ) m k-1 m k y k m k+1 m k+2 Q k
Image of page 1

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon