HD64F38024DV Renesas Electronics America, HD64F38024DV Datasheet - Page 409
HD64F38024DV
Manufacturer Part Number
HD64F38024DV
Description
IC H8/SLP MCU FLASH 80QFP
Manufacturer
Renesas Electronics America
Series
H8® H8/300L SLPr
Datasheets
1.US38024-BAG1.pdf
(684 pages)
2.DF36012GFYV.pdf
(1021 pages)
3.DF38102HV.pdf
(145 pages)
Specifications of HD64F38024DV
Core Processor
H8/300L
Core Size
8-Bit
Speed
10MHz
Connectivity
SCI
Peripherals
LCD, PWM, WDT
Number Of I /o
51
Program Memory Size
32KB (32K x 8)
Program Memory Type
FLASH
Ram Size
1K x 8
Voltage - Supply (vcc/vdd)
1.8 V ~ 5.5 V
Data Converters
A/D 8x10b
Oscillator Type
Internal
Operating Temperature
-40°C ~ 85°C
Package / Case
80-QFP
Lead Free Status / RoHS Status
Lead free / RoHS Compliant
Eeprom Size
-
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HD64F38024DV
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(j) Floating-point numbers
(k) File access mode
Floating-point numbers are numbers represented by approximation of real-numbers. In a
C/C++ source program, floating-point numbers are represented by decimal numbers, but
inside the computer they are normally represented by binary numbers.
In the case of binary numbers, the floating-point representation is as follows:
2
Here, n is called the exponent of the floating-point number, and m is called the mantissa.
The number of bits to represent n and m is normally fixed so that a floating-point number
can be represented using a specific data size.
Some terms relating to floating-point numbers are explained below.
(i) Radix
(ii) Rounding
(iii) Normalization
(iv) Guard bit
This is a string that indicates the kind of processing to be carried out on a file when it is
opened. There are 12 different strings, as shown in table 10.31.
n
An integer value indicating the number of distinct digits in the number system used by
a floating-point number (10 for decimal, 2 for binary, etc.). The radix is normally 2.
Rounding is performed when an intermediate result of an operation of higher precision
than a floating-point number is stored as a floating-point number. There is rounding
up, rounding down, and half-adjust rounding (rounding up fractions over 1/2 and
rounding down fractions under 1/2; or, in binary representation, rounding down 0 and
rounding up 1).
When a floating-point number is represented in the form 2 n x m, the same number can
be represented in different ways.
Example: The following two expressions represent the same value.
2
2
Usually, a representation in which the leading digit is not 0 like the former expression
is used, in order to secure the number of valid digits. This is called a normalized
floating-point number, and the operation that converts a floating-point number to this
kind of representation is called normalization.
When saving an intermediate result of a floating-point operation, data one bit longer
than the actual floating-point number is normally provided in order to carry out
rounding. However, this alone does not permit an accurate result to be achieved in the
event of cancellation of significant digits, etc. For this reason, the intermediate result
is saved with an extra bit, called a guard bit.
m (n: integer, m: binary fraction)
5
6
1.0
0.1
(2)
(2)
(
(2)
indicates a binary number)
395
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