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Now that you understand how your assembly routine is called from C, modify it to return the value of the filter output, instead of writing it to outBuffer directly in assembly. Modify
main.c
with the following:
extern void filter(void)
with
extern int filter(void)
.outval
to store the value returned from
filter()
.outval
into output channels 1 and 3, and your unfiltered input sample from channel 1 into output channels
2 and 4.output
variables accordingly.Now that the C code has been changed, you must modify the assembly code to actually return the value. To do this, there is an established convention for how to pass and return values between C and assembly. The rules for this convention are given in Section 6.4 of the TMS320C55x Optimizing C/C++ Compiler User's Guide .
Currently, the filter output and raw input are copied to the
output
buffers:
MOV HI(AC0), *AR7+
MOV HI(AC1), *AR7+
MOV HI(AC0), *AR7+
MOV HI(AC1), *AR7+
Replace these commands with a single command to return only the filter output.
Hint: you will need register
T0
.
Now after compiling, loading, and running your code, your filter should behave just as in Part 1. In this second part of the lab, you have learned how to make a call to an assemblyroutine much more modular as you should know how to pass and return values between C and assembly. This will become valuable in later labs, when you may want to cascade multiple assembly subroutines together.
An alternative method of implementing symmetric FIR filters uses the
firsadd
instruction. First, make a copy of
filtercode.asm
, as you will have to demo this part separately from the previous two. Modify your code to implement the filter with a 4 kHz to 8 kHz passband using the
firsadd
.
Two differences in implementation between your code from
Part 1 and the code you will write for
this part are that
firsadd
requires the states
to be broken up into two separate circular buffers. Refer tothe
firsadd
instruction on
page 5-152 in
the
Mnemonic
Instruction Set manual.
1 mov *AR1, *AR2- ; write x(-N/2) over x(-N)
2 mov HI(AC0), *AR1 ; write x(0) over x(-N/2)3 add *AR1-, *AR2-, AC0 ; add x(0) and x(-(N-1))
4 ; (prepare for first multiply)5 rpt #(FIR_len1/2-1)
6 firsadd *AR1-, *AR2-, *CDP+, AC0, AC17 round AC1
8 amar ???????????????? ; Fill in these two instructions9 amar ????? ; They modify AR1 and AR2
1011 ; note that the result is now in the
12 ; AC1 accumulator
Because states and coefficients are now treated differently than in your previous FIR implementation, you will need tomodify the pointer initializations to
1 bset AR1LC ; sets circular addressing for AR1
2 bset AR2LC ; sets circular addressing for AR23
45 mov #firState1, AR1
6 mov #firState1Index, AR47 mov mmap(AR1), BSA01
8 mov *AR4, AR1 ; get pointer to oldest delayBuf in AR19
10 mov #firState2, AR211 mov #firState2Index, AR5
12 mov mmap(AR2), BSA2313 mov *AR5, AR2
1415
16 mov #(FIR_len1/2), BKC17 mov #(FIR_len1/2), BK03 ; initialize circular buffer length for register 0-3
18 mov #coef1, CDP ; CDP contains address of coefficients19 mov *AR6<<#16, AC0 ; copy input into AC0
There are also a couple other changes that need to be made before the code will compile successfully. Read the comments carefully and understand how the
firsadd
instruction works to make the necessary changes. Hint: Make sure accumulator usage (AC0, AC1, AC2) and what is sent to output is correct.
Using the techniques introduced in Lab 0: DSP Hardware Introduction , generate an appropriate test vector and find the expected output in MATLAB. In MATLAB, plot the expected and actual outputs of the filter, and the difference between the expected and actual outputs. Why is the output from the DSP system not exactly the same as the output from MATLAB?
Next, compare the output of this code against the output of the same filter implemented using the
mac
instruction. Are the results the same? Why or why not? Ensure that the filtered output is sent to output channel 1, and that the unmodified output is still sent to output channel 2.
The points for Lab 1 are broken down as follows:
.asm
file
ready to demonstrate each.The quiz may cover signal processing material relating to fixed point processing fundamentals, convolution, and the differences between ideal FIR filters and realizable FIR filters. You may also be asked questions about digital sampling theory, including, but not limited to, the Nyquist sampling theorem and the relationship between the analog frequency spectrum and the digital frequency spectrum of a continuous-time signal that has been sampled.
The quiz will cover the code that you have written during the lab. You are expected to understand, in detail, all of the code in the files you have worked on, even if your partner wrote it. The quiz may cover various key lines of code, 2's complement fractional arithmetic, circular buffers, alignment, typecasting and bit manipulation in C, function calling conventions between C and assembly, and the mechanics of either of the two FIR filter implementations.
Use the TI documentation, specifically the Mnemonic Instruction Set manual. Also, feel free to ask the TAs to help explain the code that you have been given.
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