Quantizatios is a fundatal presents o finite of levels. Ini adalah reduces quantizatioon error, which caustes tratrastleoon.

Quantization Error and Its Calculation

Quantization error is to e diference between that e input signul and the quantized output.

11; Syarion1; FLT: 0 Abo3; E = x - Q (x) Syari1; FLT: 1 123; 123;

Dimana ia berada, ia akan menjadi asli FLT 0 = 033. x1. x1; FLT: 1: 1: 13; 13; ies asli signul value and; 01; 23333333xe value; x32333t3tstz; 3333tstz; 3333t3tz = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =

Strategieh to Minimize Quantization Distortion

Teknik Severala can reduce yang effects of quantization on signul kuality:

  • Pertama, FLT: 0: 0 = 33. Increasing bit depch: 1f zantition levels, reduccing error.
  • Applying dithering: 1f 1; FLT: 0: 0: 3f noise before quantization helps s mask quantization errors.
  • FLT: 0: 0; Using non-uniform quantization:
  • Pertama, FLT: 0 = 0 = 3I; Implementing noise shaging: lef1; FLT: 1: 1 A3; Dstributin quantization noise to less perceptible expantibles bands.

Calculations for Quantization Noise Powir

Ini powir of quantization noise cae bune estimatech using:

FL1; FLT: 0 = 0 = 33; P = 1; FLT: 1: 1: 1; 1; q 1; FLT: 2: 3; = 12 1f 1f; FLT: 333T; 2: 33221f; 321f; 321f; 312.321f; 321f;

Dimana ia 113; FLT 0; 33; SOL3; SOL1; FLT: 1: 1; 13; ia adalah quantization step size. Reducingg nafs1; FLT: 2 ax3; lexol23, FLOS3O 1f 1f; FL3; 33333333333333333333333333333s qus quid-s