![]() ![]() ![]() %Next, get the aligned bits from the received bit sequence by extracting all but the first 10 bits.ĭemodAligned = demodOut((delayInBits+1):end) SrcAligned = srcBits(1:(end-delayInBits)) %Align source bits (extracting all bits but the last 10 bits which is our total delay) %We need to know the delay in bits, not symbols:ĭelayInBits = delayInSymbols * bitsPerSymbol RxFiltOut = rxFilt(txFiltOut ) %pass the data to the receiver s filter.ĭemodOut = qamdemod(rxFiltOut,modOrder,"OutputType","bit","UnitAveragePower",true) %demodulate.ĭelayInSymbols = rxFilt.FilterSpanInSymbols/2 + txFilt.FilterSpanInSymbols/2 TxFiltOut = txFilt(modOut) %pass the modulated symbols throught the tx filter. ModOut = qammod(srcBits,modOrder,"InputType","bit","UnitAveragePower",true) %qam modulation of the bits to send SrcBits = randi(,numBits,1) %generate random bits to send RxFilt = comm.RaisedCosineReceiveFilter %make the receive filter TxFilt = comm.RaisedCosineTransmitFilter %make the transmit filter In my minimal example I send 12 bits, with modulation order 2 ( so 1 bit = 1 symbol) to make it simple: numBits = 12 %send 12 bitsīitsPerSymbol = log2(modOrder) % modOrder = 2^bitsPerSymbol Because of this filter both the receiver and the transmitter each have a delay of 5 symbols on the data transmission. Now, the comm.RaisedCosineTransmitFilter has a property FilterSpanInSymbols,so if the FilterSpanInSymbols = 10, then the delay of the tx/rx filters is 5. Finally, comments can be used to aid in debugging, as explained in Debugging M Files.I am using the matlab online simulator and taking the course " Wireless communications Onramp" where I need to use a Raised Cosine Transmit Filter to filter the data both in the transmitter and the receiver. Such text is often found at the end of an M file though also can be found at the beginning. MATLAB will output the comments leading up to the function definition or the first block of comments inside a function definition when you type:Īll of MATLAB's own functions written in MATLAB are documented this way as well.Ĭomments can also be used to identify authors, references, licenses, and so on. It is common and highly recommended to include as the first lines of text a block of comments explaining what an M file does and how to use it. % Calculate average velocity, assuming acceleration is constant Doing this is a good idea both for yourself and for others who try to read your code. E.g.Ĭomments are useful for explaining what function a certain piece of code performs especially if the code relies on implicit or subtle assumptions or otherwise perform subtle actions. */ in languages like C or C++, via the % contains any other text (except white spaces). ![]() MATLAB also supports multi-line comments, akin to /*. Select the code you wish to comment or uncomment, and then press Ctrl-R ( ⌘-/ for Mac) to place one '%' symbol at the beginning of each line and Ctrl-T ( ⌘-T for Mac) to do the opposite. There are two useful keyboard shortcuts for adding and removing chunks of comments. In the MATLAB Editor, commented areas are printed in green by default, so they should be easy to identify. The % character itself only tells the interpreter to ignore the remainder of the same line. Fundamentals of MATLAB MATLAB Workspace MATLAB Variables *.mat filesĬhapter 2: MATLAB Concepts MATLAB operator Data File I/OĬhapter 3: Variable Manipulation Numbers and Booleans Strings Portable Functions Complex NumbersĬhapter 4: Vector and matrices Vector and Matrices Special Matrices Operation on Vectors Operation on Matrices Sparse MatricesĬhapter 5: Array Arrays Introduction to array operations Vectors and Basic Vector Operations Mathematics with Vectors and Matrices Struct Arrays Cell ArraysĬhapter 6: Graphical Plotting Basic Graphics Commands Plot Polar Plot Semilogx or Semilogy Loglog Bode Plot Nichols Plot Nyquist PlotĬhapter 7: M File Programming Scripts Comments The Input Function Control Flow Loops and Branches Error Messages Debugging M FilesĬhapter 8: Advanced Topics Numerical Manipulation Advanced File I/O Object Oriented Programming Applications and Examples Toolboxes and ExtensionsĬhapter 9: Bonus chapters MATLAB Benefits and Caveats Alternatives to MATLAB What is Octave ? Octave/MATLAB differencesĬomment lines begin with the character '%', and anything after a '%' character is ignored by the interpreter.
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