Skip to content Skip to navigation

Connexions

You are here: Home » Content » Spectrum Analyzer: FFT Exercise on TI TMS320C54x

Navigation

Lenses

What is a lens?

Definition of a lens

Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

This content is ...

Affiliated with (What does "Affiliated with" mean?)

This content is either by members of the organizations listed or about topics related to the organizations listed. Click each link to see a list of all content affiliated with the organization.
  • TI DSP display tagshide tags

    This module is included inLens: Texas Instruments DSP Lens
    By: Texas InstrumentsAs a part of collection: "DSP Laboratory with TI TMS320C54x"

    Click the "TI DSP" link to see all content affiliated with them.

    Click the tag icon tag icon to display tags associated with this content.

Also in these lenses

  • Lens for Engineering

    This module is included inLens: Lens for Engineering
    By: Sidney Burrus

    Click the "Lens for Engineering" link to see all content selected in this lens.

Recently Viewed

This feature requires Javascript to be enabled.

Tags

(What is a tag?)

These tags come from the endorsement, affiliation, and other lenses that include this content.
 

Spectrum Analyzer: FFT Exercise on TI TMS320C54x

Module by: Douglas L. Jones, Swaroop Appadwedula, Matthew Berry, Mark Haun, Jake Janovetz, Michael Kramer, Dima Moussa, Daniel Sachs, Brian Wade. E-mail the authors

Summary: You will apply the fast Fourier transform (FFT) to analyze the spectral content of an input signal in real time. You will use a length-64 Hamming window and no zero-padding. After computing the FFT, you will compute the squared-magnitude of the sampled spectrum and send it to the output for display on the oscilloscope.

Implementation

You will use the FFT to compute the spectrum of a windowed input. For your implementation, use a 64-point Hamming window. You may use the MATLAB function save_coef (available as save_coef.m to save the window to a file that you can then include in your code with the .copy directive.

FFT usage

The FFT routine fft.asm computes an in-place, complex FFT. The length of the FFT is defined as a label K_FFT_SIZE, and the algorithm assumes that the input starts at data memory location fft_data. To have your code assemble for a 64-point FFT, you will have to include the following label definitions in your code.


	  
	  K_FFT_SIZE	.set 64	; size of FFT 
	  K_LOGN	.set 6	; number of stages (log_2(N))
	  
	

In addition to defining these constants, you will have to include twiddle-factor tables for the FFT. Copy these tables (twiddle1 and twiddle2) into your work directory. Note that the tables are each 512 points long, representing values from 0 to just shy of 180 degrees, and must be accessed as a circular buffer. To include these tables at the proper location in memory with the appropriate labels referenced by the FFT, use the following:


	  
	  .sect ".data"
	  .align 1024
	  sine	.copy "twiddle1"
	  .align 1024
	  cosine	.copy "twiddle2"
	  
	

To run the FFT code, use the instruction call fft where fft is a label at the beginning of the available fft.asm code.

The FFT provided requires that the input be in bit-reversed order, with alternating real and imaginary components. Bit-reversed addressing is a convenient way to order input xn x n into a FFT so that the output Xk X k is in sequential order (i.e., X0 X 0 , X1 X 1 , …, XN1 X N 1 for an N N-point FFT). The table below illustrates the bit-reversed order for an eight-point sequence.

Table 1
Input Order Binary Representation Bit-Reversed Representation Output Order
0 000 000 0
1 001 100 4
2 010 010 2
3 011 110 6
4 100 001 1
5 101 101 5
6 110 011 3
7 111 111 7

The following routine performs the bit-reversed reordering of the input data. The routine assumes that the input is stored in data memory starting at the location labeled input_data and consists of alternating real and imaginary parts. Because our input data in this exercise is purely real, you will have to set the imaginary parts to zero by zeroing out every other memory location.


	  
	  1 bit_rev:
	  2         SSBX    FRCT                            ; fractional mode is on
	  3         STM     #input_data,AR3                 ; AR3 -> 1 st original input
	  4         STM     #fft_data,AR7                   ; AR7 -> data processing buffer
	  5         MVMM    AR7,AR2                         ; AR2 -> 1st bit1 reversed data
	  6         STM     #K_FFT_SIZE-1,BRC
	  7         RPTBD   bit_rev_end-1
	  8         STM     #K_FFT_SIZE,AR0                 ; AR0 = 1/2 size of circ buffer
	  9         MVDD    *AR3+,*AR2+
	  10         MVDD    *AR3-,*AR2+
	  11         MAR     *AR3+0B
	  12 bit_rev_end:
	  13         RET                                     ; return to Real FFT main module
	  
	

As mentioned, in the above code input_data is a label indicating the start of the input data and fft_data is a label indicating the start of a circular buffer where the bit-reversed data will be written. Include the bit_rev routine in your code and call it using the call bit_rev command in the appropriate location. Note that although AR7 is not used by the bit-reversed routine directly, it is used extensively in the FFT routine to keep track of the start of the FFT data space.

In general, to have a pointer index memory in bit-reversed order, the AR0 register needs to be set to one-half the length of the circular buffer; a statement such as ARx+0B is used to move the ARx pointer to the next location. For more information regarding the bit-reversed addressing mode, refer to page 5-18 in the CPU and Peripherals [link] manual. See Figure 4-10 in the Applications Guide [link] to view the ordering of the data expected by the FFT routine.

Note:

The FFT code uses all the pointers available. Additionally, it does not restore the pointers it uses to their original values, so you will have to re-initialize any pointers you are using after the fft call.

Displaying the spectrum

Once the DFT has been computed, calculate the squared-magnitude of the spectrum for display.

|Xk|2=Xk2+Xk2 X k 2 X k 2 X k 2
(1)
You may find the assembly instructions squr and squra useful in implementing Equation 1. Why do we display the squared-magnitude instead of the magnitude itself?

Because the squared magnitude is always nonnegative, you can replace one of the magnitude values with a -1.0 as a trigger pulse for display on the oscilloscope. This is easily performed by replacing the DC term, k=0 k 0 , with a -1.0 when copying the magnitude values to the output buffer. The trigger pulse is necessary for the oscilloscope to lock to a specific point in the spectrum and keep the spectrum fixed on the scope.

Content actions

Download module as:

PDF | EPUB (?)

What is an EPUB file?

EPUB is an electronic book format that can be read on a variety of mobile devices.

Downloading to a reading device

For detailed instructions on how to download this content's EPUB to your specific device, click the "(?)" link.

| More downloads ...

Add module to:

My Favorites (?)

'My Favorites' is a special kind of lens which you can use to bookmark modules and collections. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need an account to use 'My Favorites'.

| A lens I own (?)

Definition of a lens

Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

| External bookmarks