lsb

Scaling of least significant bit of fi object, or value of least significant bit of quantizer object

Syntax

b = lsb(a)

p = lsb(q)

Description

b = lsb(a) returns the scaling of the least significant bit of fi object a. The result is equivalent to the result given by the eps function.

p = lsb(q) returns the quantization level of quantizer object q or the distance from 1.0 to the next largest floating-point number if q is a floating-point quantizer object.

Examples

Least Significant Bit of fi Object

Use the lsb function to find the value of the scaling of the least significant bit of fi object a.

Create a signed fi object that specifies a word length of 8 bits and a fraction length of 7 bits.

a = fi([],1,8,7)

a = 

[]

          DataTypeMode: Fixed-point: binary point scaling
            Signedness: Signed
            WordLength: 8
        FractionLength: 7

Determine the least significant bit of the fi object.

lsb(a)

ans = 
    0.0078

          DataTypeMode: Fixed-point: binary point scaling
            Signedness: Signed
            WordLength: 8
        FractionLength: 7

Least Significant Bit of quantizer Object

Use the lsb function to find the value of the least significant bit of the quantizer object q.

Create a fixed-point quantizer object that specifies a word length of 8 bits and a fraction length of 7 bits.

q = quantizer('fixed',[8 7])

q = 
        DataMode = fixed
       RoundMode = floor
    OverflowMode = saturate
          Format = [8  7]

Determine the quantization level of the quantizer object.

p = lsb(q)

p = 
0.0078

For both fixed-point and floating-point quantizer objects q, lsb(q) = 2^-FRACTIONLENGTH(q).

lsb(q)==2^-7

ans = logical
   1

Input Arguments

a — Input array

fi object

Input array, specified as a fi object.

Data Types: fi
Complex Number Support: Yes

q — Input quantizer object

quantizer object

Input quantizer object, specified as a quantizer object.

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

• Code generation supports scalar fixed-point signals only.

• Code generation supports scalar, vector, and matrix, fi single and fi double signals.

HDL Code Generation
Generate VHDL, Verilog and SystemVerilog code for FPGA and ASIC designs using HDL Coder™.

Version History

Introduced before R2006a