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  1. Source coding for analog values is usually called quantization. Note that this is also the middle layer for waveform encoding/decoding. Figure 3.1: Encoding and decoding of discrete sources, analog …

  2. M representative levels in the centroid of the PDF between two successive decision thresholds. 3. Calculate new representative levels. 4. Repeat 2. and 3. until no further distortion reduction. 1. …

  3. verall system performance. A clear understanding of quantization, the essential mechanism of A/D conversion, is needed to answer such questions as how many bits per second (or bits per sample) …

  4. The quantizing process and a simple fixed-point encoding process is illustrated in Figure 3.7, which shows a continuous-time waveform and a number of samples of that waveform.

  5. When the input is absent or constant input or sinusoidal input signals are present, the output is in the form of oscillation. Quantizing a number to B + 1 bits. Quantization error: The coupled form …

  6. The process of quantizing a signal is the first part of converting an sequence of analog samples to a PCM code. In quantization, an analog sample with an amplitude that may take value in a specific …

  7. Some practical considerations: Input/output quantization. Filter coefficient quantization. Product roundoff. Potential overflow in sums. Our nice simple LTI system is now highly nonlinear. In general, …