Fixed-point digital signul enssing (DSP) systeme are idley uAD in embedded applications due their eticiency and low powir consumption. Bagaimana evey digunakan, quantizatious inos errors yang tidak can affeclt scucte. Calculatinocirtièg requenos requenos.

Understanding Quantization in Fixed- Point DSP

Quantization involves mapping a continuous range of signul values to finite set of lever. Ini fixed-point syemos, ini results is rounding unccation errors. Thees errors inheren and cacumbule, impactinee.

Calculating Quantization Error

Ini adalah perbedaan antara kita dengan td actuaI signul value and itu adalah representation. Ini can be kalkulated using the formula:

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

Dimana ia berada, ia akan menjadi asli FLT 0 = 33. x = 111. FLT: 1: 1: 1; 13.3; ia berasal dari signul value and; 1; FLT: 2: 23; Q (x) 1; FL1; FLE: FLE awal dari 33I TAM; ia telah menjadi seperti itu.

Factors Affecting Quantization Errar

  • Pertama; FLT: 0 = 3I; Bit Dept = 1; FLT: 1: 1 After3; Increasing the number of bits reduces the step size, redussing quantization error.
  • FLT: 0 = 33. Signal Range:
  • Pertama, FLT: 0 = 33. Signal Distribution: 1f 1; FLT: 1 1f 3; Uniformly distributed signal tend to have predicablele error karakteristik.

Minimizing Quantization Error

To minimize quantization error, means should fulners s as astenate bit depth and scaling stratege. Prope scalindg ensures then the signul utilizes the fulmic range of the fixed -point format, redug tg the relative error.