Matlab Training Session 10: Loading Binary Data Course Website: Training Sessions.htm.

Matlab Training Session 10:Loading Binary Data

Course Website:

http://www.queensu.ca/neurosci/Matlab Training Sessions.htm

Course OutlineTerm 11. Introduction to Matlab and its Interface 2. Fundamentals (Operators) 3. Fundamentals (Flow) 4. Importing Data 5. Functions and M-Files 6. Plotting (2D and 3D) 7. Plotting (2D and 3D) 8. Statistical Tools in Matlab

Term 2

9. Term 1 review

10. Loading Binary Data

Weeks 11-14 Topics: Statistics, Creating Gui’s, Exponential curve fitting ….

Week 5 Lecture Outline

loading Binary Data

A. Week 5 Review – Importing Text Data

B. Binary Encoding

C. Binary Data Formats

D. Exercise

A. Week 5 Review: Importing Text Data

• Basic issue:– How do we get data from other sources into

Matlab so that we can play with it?

• Other Issues:– Where do we get the data?– What types of data can we import?

• Lots of options to load files– load for basics– fscanf for complex– textread for any text– xlsread for Excel worksheets

load

• Command opens and imports data from a standard ASCII file into a matlab variable

• Usage: var_name = load(‘filename’)

• Restrictions– Data must be constantly sized– Data must be ASCII– No other characters

load• Works for simple and unstructured code • Powerful and easy to use but limited• Will likely force you to manually handle

simplifying data which is prone to error

• More complex functions are more flexible

File Handling• f* functions are associated with file opening,

reading, manipulating, writing, …• Basic Functions of Interest for opening and

reading generic files in matlab– fopen– fclose– fseek/ftell/frewind– fscanf– fgetl

fopen

• Opens a file object in matlab that points to the file of interest

• fid = fopen(‘filepath’)

• fid is an integer that represents the file– Can open multiple files and matlab will assign

unique fids

fclose• When you are done with a file, it is a good idea

to close it especially if you are opening many files

• fclose(fid)

What is a File?• A specific organization of data• In matlab it is identified with a fid• Location is specified with a pointer that can be

moved around

file_name

fid

Pointer

Moving the Pointer• We already know how to assign a fid (fopen)• To find where the file is pointing:

– x = ftell(fid)

• To point somewhere else– fseek(fid,offset,origin)

• Move pointer in file fid by offset relative to origin– Origin can be beginning, current, end of file

• To point to the beginning– frewind(fid)

Getting Data• Why move the pointer around?

– Get somewhere in the file from where you want data

• fscanf(fid,format,size)• Format

– You have to tell matlab the type of data it should be expecting in the text file so that it can convert it

• ‘%d’, ‘%f’, ‘%c’

• Size– You can specify how to organize the imported data

• [m,n] – import the data as m by n, n can be infinite• Be careful because matlab will mangle your data and not tell

you

Getting Data• fgetl returns the next line of the file as a

character array• You may need to convert these to numbers

>> fid1 = fopen(‘test1.txt’);

>> a_str = fgetl(fid1)

a_str = 1 2

>> a_num = str2num(a_str)

a_num = [1 2]

B. Binary Encoding• All data files are binary encoded

• ASCII text format is generally the easiest because it is relatively simple, easy to visualize in a text editor, and is a common output format

BUT• ASCII text is not the fastest or the most efficient

way of encoding data• Not all data files are ASCII!

B. Binary Encoding• Binary data consists of sequences of 0’s and 1’s

• 10101010101010101000010111110111101011

• Depending on the encoding used, individual meaningful values will occur every 4, 8, 16, 32 or 64 bits

• For a tutorial on converting between binary and decimal numbers see: http://www.rwc.uc.edu/koehler/comath/11.html

B. Binary Encoding• Binary data consists of sequences of 0’s and 1’s

• 1010 1010 1010 1010 1000 0101 1111

• Depending on the encoding used, individual meaningful values will occur every 4, 8, 16 or 32 bits

B. Binary Encoding• Binary data consists of sequences of 0’s and 1’s

• 10101010 10101010 10000101 11110111

• Depending on the encoding used, individual meaningful values will occur every 4, 8, 16 or 32 bits

B. Binary Encoding• Binary data consists of sequences of 0’s and 1’s

• 1010101010101010 1000010111110111

• Depending on the encoding used, individual meaningful values will occur every 4, 8, 16 or 32 bits

B. Binary Encoding• Each group of bits can represent a value,

character, delimiter, command, instruction ect.

• Generally binary data is divided into 8 bit (1 byte) segments

• 00000000 = zero• 11111111 = 255

• IT IS VERY IMPORTANT TO KNOW WHAT FORMAT THE DATA IS IN BEFORE YOU CAN READ IT!

ASCII ENCODING

• ASCII: American Standard Code for Information Interchange (1968).

• ASCII every character is coded by only seven bits of information. The eighth bit is ignored (it can be a zero or one).

• ASCII consists of 127 characters which include uppercase, lowercase, spaces and formatting characters•See www.asciitable.com for the full ascii table

ASCII vs Simple Binary Encoding

• ASCII requires 1 byte to be used for every character

Data Table:105 124 27101 102 111

• In ascii 1 byte is used for every character, space and carriage return = 23 bytes• If this was encoded in a simple 8 bit binary representation this would only use 11 bytes (1 byte for every number and space)

Binary Precision

• The number of bits used to represent a value determines how large or small that value can be

•8 bits 0 to 256 •16 bits 0 to 65536•32 bits 0 to 4.2950e+009

•Precision also determines how many decimal places can be represented

'schar' Signed character; 8 bits'uchar' Unsigned character; 8 bits'int8' Integer; 8 bits'int16' Integer; 16 bits'int32' Integer; 32 bits'int64' Integer; 64 bits'uint8' Unsigned integer; 8 bits'uint16' Unsigned integer; 16 bits'uint32' Unsigned integer; 32 bits'uint64' Unsigned integer; 64 bits

* The first bit denotes the sign if the integer or character is signed.

C. Binary Formats:Integers and Characters

Readable Binary Data FormatsFloating Point Representation

Used for numbers that require decimal representation (real numbers)•Established by IEEE (Institute of Electrical and Electronics Engineers )• Encoded in 32 (single precision) or 64 bits (double precision)

• Single precision(short): 32 bits 1 bit for the sign, 8 bits for the exponent, and 23 bits for the mantissa. • Double precision(Long) Real: 64 bits 1 bit for the sign, 11 bits for the exponent, and 52 bits for the mantissa.

Readable Binary Data FormatsFloating Point Representation

• By default matlab stores all values with double precision

• The functions realmax and realmin return max and min value representations

'float32‘, ‘single’ Floating-point; 32 bits'float64', 'double' Floating-point; 64 bits

Specifying Machine Formats

• The computer system used to record or save the binary data in unique addressing orders• In order to load binary data from a particular system, Matlab needs to know the machine format•You can use the fopen function to determine the machine format

[filename, mode, machineformat] = fopen(fid)

Binary File Machine Formats

'ieee-be' or 'b‘: IEEE floating point with big-endian byte ordering

'ieee-le' or 'l' : IEEE floating point with little-endian byte ordering

'ieee-be.l64' or 's‘: IEEE floating point with big-endian byte ordering and 64-bit long data type

'ieee-le.l64' or 'a‘: IEEE floating point with little-endian byte ordering and 64-bit long data type

'native' or 'n' : Numeric format of the machine on which MATLAB is running (the default)

'vaxd' or 'd' : VAX D floating point and VAX ordering

'vaxg' or 'g' : VAX G floating point and VAX ordering

Reading Binary Data

• The function fread() performs all binary data reading in matlab

Syntax

A = fread(fid) A = fread(fid, count) A = fread(fid, count, precision) A = fread(fid, count, precision, skip) A = fread(fid, count, precision, skip, machineformat) [A, count] = fread(...)

Reading Binary DataInput Arguments:

Count: x: read x elements Inf: read to end of file [m,n]: read enough to fill a m by n matrix

Precision: Specify input data format eg. Int8, int16, short, long… see previous slides

Skip: Skip specified number of bits between segments specified by the Precision argument

MachineFormat: Specify machine format 'ieee-be‘, 'ieee-le‘….. See previous slides

ExerciseLoad and plot position data saved in: week10data.rob

• This file contains binary position data saved in 32 bit floating point format precision

1. Use the fopen function to determine the machine format hint: [fname, mode, mformat] = fopen(fid)2. Load the data using the fread function3. Plot the position4. Try loading the data with an incorrect argument to see how this

changes/corrupts the data

Exercise Solution

fid = fopen('week10data.rob','r') %open file for reading

%Determine file format[fname, mode, mformat] = fopen(fid)

%Format is ieee-le

%Read binary datapos_data = fread(fid, inf, 'single', 'ieee-le')

plot(pos_data) % plot position data

fclose(fid) % close file

Getting HelpHelp and Documentation

Digital 1. Accessible Help from the Matlab Start Menu

2. Updated online help from the Matlab Mathworks website:

http://www.mathworks.com/access/helpdesk/help/techdoc/matlab.html

3. Matlab command prompt function lookup

4. Built in Demo’s

5. Websites

Hard Copy3. Books, Guides, Reference

The Student Edition of Matlab pub. Mathworks Inc.