Inside Collection (Course): Digital Signal Processing Laboratory (ECE 420)
Summary: Finite word lengths introduce quantization error in fixedpoint systems. Truncation quantization causes a larger maximum error and a negative bias compared to rounding, but is easier to implement in hardware. Similarly, wraparound overflow is typically worse than saturation, but also requires more hardware.
The fractional
One method of quantization is rounding, which assigns the signal
value to the nearest level. The maximum
error is thus

Another common scheme, which is often easier to implement in
hardware, is truncation.

Overflow is the other problem. There are two common types: two's complement (or wraparound) overflow, or saturation overflow.

"Doug course at UIUC using the TI C54x DSP has been adopted by many EE, CE and CS depts Worldwide "