You can call them as functions by mentioning their base name without the.
HOW TO OPEN MATLAB P FILE CODE
Tables 1 and 2 show ASCII printable characters in the intervals 32-80 and 81-127 (ASCII American Standard Code for Information Interchange). .p files are MATLAB functions with source code you cannot read. The last line of the Matlab script converts the decimal numbers to character symbols forming the message received in rcv. These numeric photon counts (corresponding to the act values are co verted to string format and then from string to decimal numbers. The following Matlab script could be used for that purpose: idnumber = '88888888' mode = '0' nbits = 50 number_of_photons optical_fiber_detector (idnumber, mode nbits) To convert eight-bits long sequences of zeros and ones from binary format to printable character symbols, you can use the following Matlab script: ascii_len = 8 % we are using ASII code with 8 bits rcv = num2str(rcv) rcv = bin2dec (reshape (rcv, ascii_len, length (rcv)/ascii_len)') ascii_message = char (rcv) In this Matlab script, rcv represents a column vector containing the numeric values of the l received bits). As an example, a user with an ID number 88888888 could use optical_fiber_detector.p to generate 50 photon counts for a message corresponding to 50 bits, all equal to 0. The definition of these variables is as follows: idnumber input string is the user's UTEP ID number mode input string: equal to '0', the function returns the photon counts for a message with all bits equal to zero '1', t returns the counts for all bits equal to one and 'EE3384', it returns the counts for your specific message (the message that you will need to decode) nbits input variable is the corresponding number of bits received in modes '0' or '1' (if mode is equal to 'EE3384', the input variable nbits is not required your message has a fixed number of bits) number_of_photons output vector is a column vector with the photon counts for the bits received (note that the photon counts are random variables). This function has up to three input variables, idnumber, mode and nbits, and it returns one output vector, number-of-photons. The Matlab function optical_fiber_detector.p generates the photon counts for bits transmitted through an optical communication system and counted in the photodetector side. p simulates an optical communication system. The p-code Matlab function optical_fiber_detector. You will write a Matlab script to decode the message detected by the Matlab function optical_fiber_detector. An error occurs if the files cannot be created.Transcribed image text: In this homework you will use the Matlab function optical_fiber_detector.p to simulate an optical communication system and gencrate the number of photons of a binary message being received. inplace creates P-files in the same directory as the M-files. Pcode fun1 fun2 . creates P-files for the listed functions. Pcode *.m creates P-files for all the M-files in the current directory. If the input file resides within a package and/or class directory, then the same package and class directories are applied to the output file. The original M-file can be anywhere on the search path. The encrypted M-code is written to P-file fun.pin the current directory. Pcode fun obfuscates (i.e., shrouds) M-file fun.m for the purpose of protecting its proprietary source code.
But because the analysis speed of Matlab is very fast, it is generally not necessary to do the pre-analysis by yourself. So we will explain in advance, then when the M file is used in the future, the corresponding parsed version, that is, the P file, will be executed directly.
Because when you execute the M file for the first time, Matlab needs to parse it once (the parsed content after the first execution will be put into the memory for the second execution, that is, there is no need for the second execution Analysis), which invisibly increases the execution time. P file is a preparsed version corresponding to M file.