why 0.15 format is preferred in most of the fixed point DSP processor
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al signal processing can be separated into two categories - fixed point and floating point. These designations refer to the format used to store and manipulate numeric representations of data. Fixed-point DSPs are designed to represent and manipulate integers – positive and negative whole numbers – via a minimum of 16 bits, yielding up to 65,536 possible bit patterns (216). Floating-point DSPs represent and manipulate rational numbers via a minimum of 32 bits in a manner similar to scientific notation, where a number is represented with a mantissa and an exponent (e.g., A x 2B, where 'A' is the mantissa and ‘B’ is the exponent), yielding up to 4,294,967,296 possible bit patterns (232).
The term ‘fixed point’ refers to the corresponding manner in whi
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