Summary: Students are to implement and optimize a power spectral density estimator, a pseudo-noise (PN) sequence generator, and an IIR filter.
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, you will likely discover inefficiencies. This implementation is provided as the "reference implementation" of the optimization process and to define 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 efficient as 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; choose whatever will allow you to write the fastest code. The optimization process will be smoother if you plan for optimization before you 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 in
your program. Remember that several of the TMS320C54xx
instructions take more than one cycle. The multicycle
instructions are primarily the multi-word instructions,
including instructions that take immediates, like
stm, and instructions using direct addressing
of memory (such as ld *(temp),A). Branch and
repeat statements also require several cycles to execute.
Most C instructions take more than one cycle. The debugger
can be used to determine the exact number of cycles used by
your code; ask your TA to demonstrate. However, since the
number of execution cycles used by an instruction is usually
determined by the number of words in its encoding, the
easiest way to estimate the number of cycles used by your
code is to count the number of instruction words in the
.lst file or the disassembly window in the
debugger.
We will grade you based on the number of cycles used between
the input_full = 0; and bit_rev_fft();
statements. Note that some instructions, like RPT, are
non-repeatable instructions; their use may cause
unnecessary glitches in I/O. For grading simplicity, your final
code 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 maximum
possible number of cycles will be counted. You must use the
core.asm file in
v:\ece320\54x\dsplib\core.asm or the C core
file in v:\ece320\54x\dspclib\core.asm 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 for logical operations in Section 2-2 of the C54x Mnemonic Instruction Set reference. Initialize the shift register to one. You can debug the PN output by comparing 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 if
the output is inspected in memory.
This lab is to be completed in one week. Grading for this lab will be a bit different from past labs: