A physical processor is organized as different execution units at the hardware level, for example, fixed point and floating point operation units.
在硬件级别中，物理处理器是作为不同的执行单元进行组织的，例如定点和浮点操作单元。
Similarly, on platforms without native support for fixed-point or double-precision floating-point Numbers, implementations must emulate these types.
类似地，在没有本地定点或双精度浮点数支持的平台上，实现必须模拟这些类型。
However, since the fixed-point calculation maybe cause cumulative quantization error, the convergent performance of fixed-point equalizer is not better than that of floating-point equalizer.
但由于定点数运算会引起量化累积误差，均衡器的收敛速度比浮点数运算均衡器的收敛速度要慢，收敛后的稳定性也较差。
For floating-point and fixed-point types, m is the total number of digits that can be stored.
对于浮点数及定点类型，M是数字存储的总位数。
Design the fixed point and floating-point conversion process for fixed-point type DSP, completion floating operation of fixed-point type DSP.
针对定点型dsp的特点设计了定点数与浮点数的转换程序，完成定点型dsp的浮点运算。
Automated floating - to fixed-point conversion - Automated word width selection and propagation for floating - to fixed-point conversion.
自动浮点到定点转换—浮点到定点转换的自动字宽选择与传送。
Floating-point precision than that of fixed-point higher.
浮点数的表示精度要比定点数高的多。
Floating-point precision than that of fixed-point higher.
浮点数的表示精度要比定点数高的多。
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