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In this lab you are to implement and optimize the a pseudo-noise (PN)sequence generator, IIR filter, and autocorrelation routines that are part of the previous lab's PSD estimator.For the lab grade, you will be judged on the execution time of your system (memory usage need not be minimized).
After taking a look at the source code of the PSD estimator reference implementation, youwill likely discover inefficiencies. This implementation is provided as the "reference implementation" of the optimization process and todefine the expected input and output of the application. The computational efficiency of your code will be judged against this implementation.While the given code might serve as a starting point, you should do whatever you need to do to make your code as efficientas possible, while operating in an equivalent manner as the given code.
The exact portion of the code to be optimized is defined below. You may write in C, assembly, or any combination of the two; choosewhatever will allow you to write the fastest code. The optimization process will be smoother if you plan for optimization beforeyou begin any programming.
Since a primary purpose of this lab is to learn optimization and efficient code techniques, your lab grade will be based primarily on the total execution time of your system. You are not required to optimize memory use. Note that by execution time we mean cycle count, not the number of instructions inyour program. Remember that some of the TMS320C55xx instructions take more than one cycle. However, unlike the TMS320C54xx instructions, most operations take only one cycle and can be placed in parallel with other operations. Branch andrepeat statements are the most common instructions that require several cycles to execute. Most C instructions take more than one cycle. The debuggercan be used to determine the exact number of cycles used by your code. The instructions on how to do this can be found in Cycle Counts .
We will grade you based on the number of cycles used between
the
rand_fillbuffer();
and
cfft((DATA *)fft_data,N, SCALE);
statements. Thus, you can optimize
rand_fillbuffer
function but optimizing the fft function will not help. Note that some instructions, like
RPT
, are
non-repeatable instructions ; their use may cause
unnecessary glitches in I/O. For grading simplicity, your finalcode should not have modifications except between these two instructions,
and
M
should be set to
31
.
If the number of cycles between the two points is variable, the maximumpossible number of cycles will be counted. You must use the
dma.c
and
swi_process.h
files in
v:\ece420\55x\lab4
as
provided by the TAs;
these files may not be
modified . We reserve the right to test your code by
modifying the inputs.
If you are programming the PN generator in assembly, you may wish to refer to the description of assembly instructions forlogical operations in the C55x Mnemonic Instruction Set reference. Initialize the shift register to one. You can debug the PN output bycomparing it to the output of the MATLAB code. Be prepared to prove to a TA that your PN generator works properly as part of your quiz.
Your IIR filtering routine can debugged by writing an impulse followed
by zeros in
autocorr_in
instead of
randsample
.
Your autocorrelation routine can be debugged by commenting out the
IIR-filtering routine and writing the maximum DC value into
autocorr_in
in a similar manner as described the
IIR-debugging step. Note that each of these tips is the most helpful ifthe output is inspected in memory.
Grading for this lab will be a bit different from past labs:
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