...

The input arguments to the MATLAB constructor function are:

function M = scaler_example_module(NAME)

It has only one argument and which is the name of the module (a string).

We next create and name the @awe_module object

M=awe_module('ScalerExample', 'Linear multichannel scaler');

...

if (nargin == 0)

...

    return;

...

end

end

M.name=NAME;

and Then set the MATLAB processing function:

M.processFunc=@scaler_example_process;

Input and output pins are added to the module. The module has one input pin and one output pin with arbitrary number of channels.

PT=new_pin_type([], [], [], 'float', []);

...

add_pin(M, 'input', 'in', 'Input signal', PT);

...

add_pin(M, 'output', 'out', 'Output signal', PT);

...

The .gain variable is added.  This gain is applied across all channels:

add_variable(M, 'gain', 'float', 1, 'parameter', 'Linear gain');

The default range information for the variable is set.  This can be changed after the module has been instantiated in MATLAB and is used when drawing the inspector.  We also set the units to 'linear'.  This is just for display purposes and as a reminder in the documentation.

M.gain.range=[-10 10];

...

M.gain.units='linear';

...

The C file containing the processing function is specified

awe_addcodemarker(M, 'processFunction',
      'Insert:InnerScalerExample_Process.c');

followed by documentation for the module:

awe_addcodemarker(M, 'discussion', {'The Scaler module scales multichannel signals by a single gain value. ', ...

...

'', ...

...

'This module is an example to be used with the documentation.'});

We also indicate that the module can reuse the same wires for input and output.

M.wireAllocation='across';

Next code is the module browser information used by Audio Weaver Designer. It describes to Audio Weaver Designer where to place the module in the tree, the image of the module under tree, search tag and the basic shape of the module in the Designer.

M.moduleBrowser.path = 'Examples';

...

M.moduleBrowser.image = '../images/ExamplesIcon.bmp';

...

M.moduleBrowser.searchTags = 'gain volume';

...

M.shapeInfo.basicShape = 'triangle';

...

M.shapeInfo.legend = 'gain';

The processing code is contained in the file InnerScalerExample_Process.c.

awe_modScalerExampleInstance *S = (awe_modScalerExampleInstance *)pInstance;

WireInstance **pWires = ClassModule_GetWires(S);

FLOAT32 *inPtr;

FLOAT32 *outPtr;

INT32 sample, numSamples;

inPtr = (FLOAT32 *)(pWires[0]->buffer);

outPtr = (FLOAT32

M.moduleBrowser.path = 'Examples';
M.moduleBrowser.image = '../images/ExamplesIcon.bmp';
M.moduleBrowser.searchTags = 'gain volume';
M.shapeInfo.basicShape = 'triangle';
M.shapeInfo.legend = 'gain';
The processing code is contained in the file InnerScalerExample_Process.c.
awe_modScalerExampleInstance *S = (awe_modScalerExampleInstance *)pInstance;
WireInstance **pWires = ClassModule_GetWires(S);
FLOAT32 *inPtr;
FLOAT32 *outPtr;
INT32 sample, numSamples;
        
inPtr = (FLOAT32 *)(pWires[0]->buffer);
outPtr = (FLOAT32 *)(pWires[1]->buffer);

...

numSamples = (INT32) ClassWire_GetNumSamples(pWires[0]);

...

        
for(sample = 0; sample < numSamples; sample++)

...

{

...

{
    outPtr[sample] = inPtr[sample] * S->gain;

...

}

...

The macro

int numSamples = ClassModule_GetNumSamples(pWires[0]);

gets the total number of samples of the input pin, which same as output pin size.  We then loop over for numSamples and apply the S->gain for each sample on input and store in output.  The input data is located at:

pWires[0]->buffer

and the output data is placed into

pWires[1]->buffer

Peak Hold Module

Anchor
PeakHoldModule PeakHoldModule

...

The module begins in the usual way.  The MATLAB function takes a single argument which is the name of the module:

function M=peak_hold_module(NAME)

We then create the underlying module object, set its name and also set three internal functions.

M=awe_module('PeakHoldExample', 'Displays peak value');

...

if (nargin == 0)

...

    return;

...

end

...

M.name=NAME;

...

M.preBuildFunc=@peak_hold_example_prebuild;

...

M.setFunc=@peak_hold_example_set;

...

M.processFunc=@peak_hold_example_process;

Next an input pin is added.  This pin accepts floating-point data and places no restrictions on the block size or sample rate.

PTIN=new_pin_type;

...

add_pin(M, 'input', 'in', 'audio input', PTIN);

Several top-level parameters are added.  These parameters set the attack and decay times (in milliseconds) and also specify a variable which allows the peak values to be reset.

add_variable(M, 'Reset', 'int', 0, 'parameter', 'reset the current peak values');

...

M.Reset.range=[0 1];

...

 
add_variable(M, 'attackTime', 'float', 0.01, 'parameter', 'Envelope detector attack time constant');

...

M.attackTime.units='msec';

...

M.attackTime.range=[0 100];

...

 
add_variable(M, 'decayTime', 'float', 0.01, 'parameter', 'Envelope detector decay time constant');

...

M.attackTime.units='msec';

...

M.attackTime.range=[0 100];

Add two additional hidden variables which are the attack and decay coefficients.  These coefficients are computed based on the sampling rate and block size and the calculation occurs within the set function.  Both variables are marked as being hidden.

add_variable(M, 'attackCoef', 'float', 0, 'derived', 'Computed coefficient used for attack');

...

M.attackCoef.isHidden=1;

...

 
add_variable(M, 'decayCoef', 'float', 0, 'derived', 'Computed coefficient used for decay');

...

M.attackCoef.isHidden=1;

The next part is key to this example.  We add two arrays whose size depends upon the number of channels in the input signal.  The code is:

add_array(M, 'peakHold', 'float', [], 'state', 'Array of peak values');

...

M.peakHold.arrayHeap='AWE_HEAP_FAST2SLOW';

...

M.peakHold.arraySizeConstructor='ClassWire_GetChannelCount(pWires[0]) * sizeof(float)';

...

 
add_array(M, 'peakDecay', 'float', [], 'state', 'Array of decaying peak values');

...

M.peakDecay.arrayHeap='AWE_HEAP_FAST2SLOW';

...

M.peakDecay.arraySizeConstructor='ClassWire_GetChannelCount(pWires[0]) * sizeof(float)';

At this point, the array is set to the empty matrix; its size is based on the number of input channels which is currently not known.  The array size is set below in the module's prebuild function.

Two additional fields are set for each array variable.  These variables provide information enabling the C constructor function to be automatically generated.  For each array, a call to the framework memory allocation function is made

void *awe_fwMalloc(size_t size, UINT heapIndex, int *retVal);

The first argument is the number of words to allocate (the size) and the second argument specifies which memory heap to allocate the memory from.  In the MATLAB code, set:

M.peakHold.arraySizeConstructor='ClassWire_GetChannelCount(pWires[0]) * sizeof(float)';

This string becomes the first argument to awe_fwMalloc().  The variable pWires is an argument to the constructor function and points to an array of wire pointers.  The code contained in the string determines the number of channels in the first input wire and multiplies by sizeof(float).  The net result is the amount of memory to allocate for the array.

The second argument to the awe_fwMalloc function is specified by the MATLAB code

M.peakHold.arrayHeap='AWE_HEAP_FAST2SLOW';

This value is #define'd within Framework.h and specifies that memory should first be taken from the fast internal heap, and if this heap is full, is should then be taken from the slow heap.

Together, the .arraySizeConstructor and .arrayHeap settings get turned into the following code by the code generator:

if ((S->peakHold = (float *) awe_fwMalloc(ClassWire_GetChannelCount(pWires[0]) * sizeof(float), AWE_HEAP_FAST2SLOW, retVal)) ==

...

    {

        // Error code is in *retVal

        return 0;

...

 0)
    {
        // Error code is in *retVal
        return 0;
    }

This process repeats for the second array .peakDecay.

Thus far, the code pieces within MATLAB generate the C constructor function.  MATLAB also needs to know the sizes of the arrays for tuning and in order to draw the user interface.  The arrays sizes are set in the MATLAB prebuild function.  This is also located in the file peak_hold_example_module.m:

function M=peak_hold_example_prebuild(M)

...

 
numChannels=M.inputPin{1}.type.numChannels;

...

 
M.peakDecay.size = [numChannels 1];

...

M.peakDecay = zeros(numChannels, 1);

...

 
M.peakHold.size = [numChannels 1];

...

M.peakHold = zeros(numChannels, 1);

...

 
return

For each array, we first set the size to [numChannels 1] and then set the default value to an array of all zeros of the same size.  Note that the order of operations is important.  When doing array assignments, Audio Weaver checks that the assigned data is of the appropriate size.  If the code were instead

M.peakDecay = zeros(numChannels, 1);

...

M.peakDecay.size = [numChannels 1];

Then the first assignment of zeros() would fail since the size of the array has not yet been set.

The rest of the function is fairly straightforward.  We specify the C processing and set functions using code markers

awe_addcodemarker(M, 'processFunction', 'Insert:InnerPeakHoldExample_Process.c');

...

awe_addcodemarker(M, 'setFunction', 'Insert:InnerPeakHoldExample_Set.c');

Documentation is then added (not shown here).  A line is added to the generated C file which includes the file FilterDesign.h.  This file contains some of the filter design equations used by the C set function.

awe_addcodemarker(M, 'srcFileInclude', '#include "FilterDesign.h"');

There are both MATLAB and C versions of the set function.  The functions translate the high-level attackTime and decayTime variables to the low-level attackCoeff and decayCoeff variables.  The MATLAB code is

function M=peak_hold_example_set(M)

...

 
SR=M.inputPin{1}.type.sampleRate;

...

 
M.attackCoef=design_smoother(M.attackTime, SR, 1);

...

M.decayCoef=design_smoother(M.decayTime, SR, 1)

...

...

;

The C code contained in InnerPeakHoldExample_Set.c is:

awe_modPeakHoldExampleInstance *S;

...

WireInstance **pWires;

...

float SR;

...

S = (awe_modPeakHoldExampleInstance *)pInstance;

...

  
pWires = ClassModule_GetWires(S);

...

SR = (float) ClassWire_GetSampleRate(pWires[0]);

...

 
S->attackCoef = design_smoother(S->attackTime, SR, 1);

...

S->decayCoef= design_smoother(S->decayTime, SR, 1);

...

 
return(0);

Why are two versions of the set function required?  For this module, the MATLAB function is not required.  After a module is allocated on the target in C, the C set function is automatically called and the coefficients computed.  The MATLAB code is for convenience and can also be used for regression testing.

The next portion of the peak_hold_example_module.m file contains the inspector information.  We only show the .peakHold variable since the others are similar or have already been discussed.  The inspector drawn is:

...

This example has a stereo input.  The first two meters shown are .peakDecay for both channels.  The second two meters show .peakHold.  The MATLAB code for drawing the .peakDecay meters is:

M.peakDecay.guiInfo.transposeArray=1;

...

M.peakDecay.guiInfo.range=[-60 10];

...

M.peakDecay.guiInfo.controlType='meter';

...

M.peakDecay.guiInfo.attribStr='mapping=db20';

...

add_control(M, '.peakDecay', 'topRight');

The .peakDecay variable is defined in MATLAB as a column vector.  In this case, since there are two input channels, the vector is of dimension 2x1.  When the meter control is drawn, the default behavior is to draw it as 2 high and 1 wide (this matches the MATLAB variable size)

...

This is not what we want – — we want the controls to be side by side.  To achieve this, the array of values has to be transposed to form a row vector.  The statement

M.peakDecay.guiInfo.transposeArray=1;

achieves this.  Next, the range of the control is set, the variable is tied to a meter control, and finally, the control is instructed to convert from linear measurements to dB for display.  This completes the MATLAB code for the .peakDecay inspector control.  The .peakHold inspector specification is almost identical.

The last portion of the file is module browser information as explained in scaler module example above.

M.moduleBrowser.path = 'Examples';

...

M.moduleBrowser.image = '../images/ExamplesIcon.bmp';

...

M.moduleBrowser.searchTags = 'peak hold';

...

M.shapeInfo.legend = 'Peak Hold';

...

M.shapeInfo.size = [6 6];

The C processing function is straightforward and is not shown here.  Refer to the file InnerPeakHoldExample_Process.c.

Fader module

Anchor
FaderModule FaderModule

This example teaches how to create a new module class out of a subsystem and shows how to implement a custom bypass function.  The fader module has a single mono input pin, a stereo output pin, and 3 internal modules:

...

The input signal is scaled by scalerF to yield the front channel and by scalerB to yield the back channel.  The output pin is stereo with the first channel representing the front and the second channel the back.  The scalers are set so that a portion of the input signal is fed to each of the front and back channels. The fader implements constant energy panning using a sine/cosine response.

The fader example is found in fader_example_module.m.  As usual, create a subsystem and set its .name based on an argument to the function.

SYS=awe_subsystem('FaderExample', 'Splits a mono input signal into front and back channels with constant energy panning.');

...

if (nargin == 0)

...

    return;

...

end

...

SYS.name=NAME;

Add input and output pins.  The input pin is a single channel without any restrictions on the blockSize or sampleRate.  The output pin is stereo without any restrictions on the blockSize or sampleRate.

PTIN=new_pin_type(1);

...

PTOUT=new_pin_type(2);

...

add_pin(SYS, 'input', 'in', 'audio input', PTIN);

...

add_pin(SYS, 'output', 'out', 'audio output', PTOUT);

...

Then add the modules to create the subsystem

...

add_module(SYS, scaler_smoothed_module('scalerF'));

...

add_module(SYS, scaler_smoothed_module('scalerB'));

...

add_module(SYS, interleave_module('inter', 2));

Then connect them together:

connect(SYS, '', 'scalerF');

...

connect(SYS, 'scalerF', 'inter.in1');

...

connect(SYS, '', 'scalerB');

...

connect(SYS, 'scalerB', 'inter.in2');

...

connect(SYS, 'inter', '');

None of the bypass functions provided with Audio Weaver is suitable for this module.  The desired bypass behavior is to copy the input channel to each of the two output channels and scale by 0.707. To implement this custom bypass functionality, write an inner bypass function as shown below:

...

awe_modFaderExampleInstance *S = (awe_modFaderExampleInstance *)pInstance;

...

WireInstance **pWires = ClassModule_GetWires(S);

...

FLOAT32 *in = (FLOAT32 *) pWires[0]->buffer;

...

FLOAT32 *outF = (FLOAT32 *) pWires[1]->buffer;

...

FLOAT32 *outB = (FLOAT32 *) outF + 1;

...

UINT32 numSamples = ClassWire_GetNumSamples(pWires[0]);

...

INT32 sample;

...

...

    
/*awe_vecScale((FLOAT32 *)(pWires[0]->buffer), 1,

...

 
                (FLOAT32 *)(pWires[1]->buffer),

...

 2, 
                (float)0.707, numSamples);*/

...

...

    
for(sample = 0; sample < (INT32)numSamples; sample++)

...

    {

...

{
    *outF = in[sample] * 0.707f;

...

        outF += 2;

    }

...

        
    outF += 2;
}
    
/*awe_vecScale((FLOAT32 *)(pWires[0]->buffer), 1,

...

 
                (FLOAT32 *)(outB), 2,

...

 
                (float)0.707, numSamples);*/

...

...

    
for(sample = 0; sample < (INT32)numSamples; sample++)

...

    {

...

{
    *outB = in[sample] * 0.707f;

...

        outB += 2;

    }

...

        
    outB += 2;
}

Then set the 'bypassFunction' code marker to insert this file:

awe_addcodemarker(SYS, 'bypassFunction', 'Insert:code\InnerFaderExample_Bypass.c'); 

The key lesson this example is the MATLAB code

SYS.flattenOnBuild=0;

This identifies the subsystem as one that is not flattened when building.  That is, the FaderExample module class exists natively on the target.  The Server only sends a single command to the target and the entire subsystem will be instantiated.  The automatically generated constructor function is found in ModFaderExample.c and shown below.  The constructor function allocates the base module and then allocates each of the 3 internal modules.  The module is marked as requiring a total of 4 pins:  1 input, 1 output, and 2 scratch.  These pins are allocated outside of the function and then passed in.  By looking through the code you can see how the wire information is passed to each of the internal modules' constructor function.

AWE_MOD_SLOW_CODE

...

ModInstanceDescriptor *awe_modFaderExampleConstructor(int * FW_RESTRICT retVal, UINT nIO, WireInstance ** FW_RESTRICT pWires, size_t argCount, const Sample * FW_RESTRICT args)

...

  {

...

  {
    // Create the module which holds the overall

...

 subsystem
    awe_modFaderExampleInstance *S = (awe_modFaderExampleInstance *) BaseClassModule_Constructor(&awe_modFaderExampleClass, retVal,

...

 
										   ClassModule_PackFlags(1, 1, 2),

...

 
										   pWires, argCount, args);

...

    {

...

    
    {
      WireInstance *scalerFWires[2]={ pWires[0], pWires[2] };

...

      Sample scalerFArgs[4];

...

      scalerFArgs[0].fVal = 7.0710677e-001f; // scalerF.gain

...

      scalerFArgs[1].fVal = 1.0000000e+001f; // scalerF.smoothingTime

...

      scalerFArgs[2].fVal = 7.0710677e-001f; // scalerF.currentGain

...

      scalerFArgs[3].fVal = 2.0811646e-003f; // scalerF.smoothingCoeff

...

      S->scalerF = (awe_modScalerSmoothedInstance *) ClassModule_Constructor(CLASSID_SCALERSMOOTHED, retVal, ClassModule_PackFlags(1, 1, 0), scalerFWires, 4, (Sample *)scalerFArgs);

...

      if (S->scalerF == NULL)

...

      {

...

	{
	  // Error code is in *retVal

...

	  return 0;

...

      }

    }

    {

...

	}
    }
    {
      WireInstance *scalerBWires[2]={ pWires[0], pWires[3] };

...

      Sample scalerBArgs[4];

...

      scalerBArgs[0].fVal = 7.0710677e-001f; // scalerB.gain

...

      scalerBArgs[1].fVal = 1.0000000e+001f; // scalerB.smoothingTime

...

      scalerBArgs[2].fVal = 7.0710677e-001f; // scalerB.currentGain

...

      scalerBArgs[3].fVal = 2.0811646e-003f; // scalerB.smoothingCoeff

...

      S->scalerB = (awe_modScalerSmoothedInstance *) ClassModule_Constructor(CLASSID_SCALERSMOOTHED, retVal, ClassModule_PackFlags(1, 1, 0), scalerBWires, 4, (Sample *)scalerBArgs);

...

      if (S->scalerB == NULL)

...

      {

...

	{
	  // Error code is in *retVal

...

	  return 0;

...

      }

    }

    {

...

	}
    }
    {
      WireInstance *interWires[3]={ pWires[2], pWires[3], pWires[1] };

...

      S->inter = (awe_modInterleaveInstance *) ClassModule_Constructor(CLASSID_INTERLEAVE, retVal, ClassModule_PackFlags(2, 1, 0), interWires, 0, (Sample *)NULL);

...

      if (S->inter == NULL)

...

      {

...

	{
	  // Error code is in *retVal

...

	  return 0;

...

      }

    }

...

	}
    }
    
    return ((ModInstanceDescriptor *) S);

...

}

Similarly, since this module is created out of a subsystem, there is no need to provide a processing function; it will be automatically generated by Audio Weaver.  (Yes, a custom processing function could be supplied, but the generated one works fine.)  The automatically generated processing function is shown in ModFaderExample.c.  It simply calls the 3 processing functions for the 3 internal modules:

...

AWE_MOD_FAST_CODE

...

void awe_modFaderExampleProcess(void *pInstance)

...

  {

...

{
  awe_modFaderExampleInstance *S = (awe_modFaderExampleInstance *) pInstance;

...

...

    
  ClassModule_Execute(S->scalerF);

...

  ClassModule_Execute(S->scalerB);

...

  ClassModule_Execute(S->inter);

...

}

The set function for the subsystem takes the high-level .smoothingTime variable and passes it down to each of the internal smoothed scaler modules.    The function also takes the .fade variable and computes two separate gains using a sin/cos pan.

  AWE_MOD_SLOW_CODE

  UINT awe_modFaderSet(void *pInstance, UINT mask)

  {

...

{
  awe_modFaderInstance *S;

...

  float arg;

...

...

        
  S = (awe_modFaderInstance *)pInstance;

...

...

        
  S->scalerF->smoothingTime=S->smoothingTime;

...

  S->scalerB->smoothingTime=S->smoothingTime;

...

...

        
  // Compute the front and back gains from the .fade setting.

...

  arg = (float)((1+S->fade)*PIDIV4);

...

  
  S->scalerF->gain = sinf(arg);

...

  S->scalerB->gain = cosf(arg);

...

...

        
  ClassModule_Set(S->scalerF, MASK_ScalerSmoothed_smoothingTime | MASK_ScalerSmoothed_gain);

...

  ClassModule_Set(S->scalerB, MASK_ScalerSmoothed_smoothingTime | MASK_ScalerSmoothed_gain);

...

...

        
  return(0);

...

}

The function sets the high-level variables of the smoothed scaler modules and then calls the set function for the module.  The set function takes a pointer to the smoothed scaler module and also a bit mask which identifies the specific variables that were modified.  In this case, we are setting the smoothingTime and gain fields of the modules.

The last portion of the file is module browser information as explained in scaler module example above.

SYS.moduleBrowser.path = 'Examples';

...

SYS.moduleBrowser.image = '../images/E.bmp';

...

SYS.moduleBrowser.searchTags = 'fader';

...

SYS.shapeInfo.legend = 'Fader';

...

SYS.shapeInfo.size = [10 6];

There is also a fract32 version of this module called fader_example_fract32_module.m See this module for examples of fixed-point processing.

...

This example is contained in the file downsampler_example_module.m and is equivalent to downsampler_module.m found in the Advanced module library.

The MATLAB code defining the input and output pins of the module is:

PT=new_pin_type([], [], [], '*32');

...

add_pin(M, 'input', 'in', 'Input signal', PT);

...

add_pin(M, 'output', 'out', 'Output signal', PT);

In this case, the data type is specified as '*32'.  This abbreviation is expanded to all possible 32-bit data types in the add_pin function:  {'float', 'fract32', 'int'}.  It is possible to specify the data type to the new_pin_type call as the cell array

{'float', 'fract32', 'int'}

Using the '*32' abbreviation gives us flexibility in case the set of data types is ever expanded in the future.

The decimation factor D is the second argument to the MATLAB function and is specified at instantiation time.  The variable D appears in the instance data structure and its usage is listed as 'const'.  This means that the variable D can no longer be changed.

add_variable(M, 'D', 'int', D, 'const', ...

...

'Decimation factor.  1 out of every D samples is output');

The module's prebuild function computes the type of the output pin.  The block size and sample rate are reduced by the decimation factor D; the number of channels and data type are unchanged.  We also verify that the block size of the input is divisible by the decimation factor:

blockSize=M.inputPin{1}.type.blockSize;

...

if (rem(blockSize, M.D) ~= 0)

...

	warning('The downsample factor D does not evenly divide the blockSize');

...

	newBlockSize=floor(blockSize/M.D);

...

else

...

	newBlockSize=blockSize/M.D;

...

end

end

M.outputPin{1}.type.sampleRate=M.inputPin{1}.type.sampleRate/M.D;

...

M.outputPin{1}.type.numChannels=M.inputPin{

...

M.outputPin{1}.type.dataType=M.inputPin{1}.type.dataType;

M.outputPin{1}.type.blockSize=newBlockSize;

The module's MATLAB implementation of the processing function is found in downsampler_example_process.m.  It simply returns 1 out of every D input samples.

function [M, WIRE_OUT]=downsampler_process(M, WIRE_IN)

IN=WIRE_IN{1};

WIRE_OUT{1}=IN(1:M.D:end, :);

return;

...

1}.type.numChannels;
M.outputPin{1}.type.dataType=M.inputPin{1}.type.dataType;
M.outputPin{1}.type.blockSize=newBlockSize;

The module's MATLAB implementation of the processing function is found in downsampler_example_process.m.  It simply returns 1 out of every D input samples.

function [M, WIRE_OUT]=downsampler_process(M, WIRE_IN)

IN=WIRE_IN{1};
WIRE_OUT{1}=IN(1:M.D:end, :);

return;

The C processing function is similar.  Although written for 32-bit floats, the function works equally well with any 32-bit data type.

AWE_MOD_FAST_CODE
void awe_modDownsamplerExampleProcess(void *pInstance)
{
    awe_modDownsamplerExampleInstance *S = (awe_modDownsamplerExampleInstance *)pInstance;
    WireInstance **pWires = ClassModule_GetWires(S);
    UINT32 blockSize = ClassWire_GetBlockSize(pWires[0]);
    UINT32 numChannels = ClassWire_GetChannelCount(pWires[0]);
    UINT32 channel;
    INT32 blockSizeD = (blockSize / S->D);
    INT32 sample;
    
    // blockSize is the number of samples in each input channel
    // blockSizeD is the number of samples in each output channel
    
    FLOAT32 *src = (FLOAT32 *)pWires[0]->buffer;
    FLOAT32 *dst = (FLOAT32 *)pWires[1]->buffer;
    FLOAT32 *srcPtr, *dstPtr;
    
    for(channel = 0; channel < numChannels; channel++)
    {
        //awe_vecCopy(src+channel, (numChannels*S->D), dst+channel, numChannels, blockSizeD);
        
        srcPtr = src + channel;
        dstPtr = dst + channel;
        
        for(sample = 0; sample < blockSizeD; sample++)
        {
            *dstPtr = *srcPtr;
            
            srcPtr += numChannels*S->D;
            dstPtr += numChannels;
        }
    }
}

The last portion of the file is module browser information as explained in scaler module example above.

M.moduleBrowser.path = 'Examples';
M.moduleBrowser.image = '../images/E.bmp';
M.moduleBrowser.searchTags = 'decimation';
M.shapeInfo.svgImage = '../../images/DownSampler.svg';
M.shapeInfo.size = [6 6];

Look Ahead Limiter Module

Anchor
LookAheadLimiterModule LookAheadLimiterModule

This example demonstrates some advanced code generation techniques.  The look ahead limiter is a dynamics processor which applies a time-varying gain to a signal.  The module m-file takes two arguments.

SYS=lah_limiter_example_module(NAME, MAXDELAY)

The first is the NAME of the subsystem and the second, MAXDELAY, is the maximum amount of delay, in milliseconds.  MAXDELAY is used internally when allocating the delaymsec_module.m:

add_module(SYS, delaymsec_module('delay', MAXDELAY));

...

SYS.delay.currentDelayTime=MAXDELAY;

The compiled subsystem contains 4 internal modules.

...

:

...

Specifying Internal Module Constructor Arguments

If we follow the normal code generation procedure, then the constructor function for the internal delaymsec_module will be:

{

...

  WireInstance *delayWires[2]={ pWires[0], pWires[5] };

...

  Sample delayArgs[2];

...

  delayArgs[0].fVal = 5.0000000e+000f; // delay.maxDelayTime

...

  delayArgs[1].fVal = 5.0000000e+000f; // delay.currentDelayTime

...

  S->delay = (awe_modDelayMsecInstance *) ClassModule_Constructor(CLASSID_DELAYMSEC, retVal, ClassModule_PackFlags(1, 1, 0), delayWires, 2, (Sample *)delayArgs);

...

  if (S->delay == NULL)

...

       {

...

	{
	  // Error code is in *retVal

...

	  return 0;

...

	}

...

}

If you look at the values of the delayArgs array,  you'll see that the maximum delay time of the internal module is hard coded to 5 msec.  This is not what we wanted; the delay time should instead be specified at construction time.

To fix this, add a high-level variable to the look ahead limiter system.  We'll name it 'maxDelayTime' to be consistent with the delaymsec_module.m.

add_variable(SYS, 'maxDelayTime', 'float', MAXDELAY, 'const', ...

...

'Maximum delay time');

...

SYS.maxDelayTime.units='msec';

Next, we'll use the maxDelayTime field of the look ahead limiter instance structure as an initializer for the maxDelayTime and currentDelayTime fields of the internal module.  This is done by setting the .constructorCode field of the delaymsec_module variables as shown below:

SYS.delay.maxDelayTime.constructorCode='S->maxDelayTime';

...

SYS.delay.currentDelayTime.constructorCode='S->maxDelayTime';

In the automatically generated constructor code, S always refers to the base module structure which has already been allocated and initialized by BaseClassModule_Constructor().  The new constructor code for the delay is:

{

...

  WireInstance *delayWires[2]={ pWires[0], pWires[5] };

...

  Sample delayArgs[2];

...

  delayArgs[0].fVal = S->maxDelayTime; // delay.maxDelayTime

...

  delayArgs[1].fVal = S->maxDelayTime; // delay.currentDelayTime

...

  S->delay = (awe_modDelayMsecInstance *) ClassModule_Constructor(CLASSID_DELAYMSEC, retVal, ClassModule_PackFlags(1, 1, 0), delayWires, 2, (Sample *)delayArgs);

...

  if (S->delay == NULL)

...

      {

...

	{
	  // Error code is in *retVal

...

	  return 0;

...

	}

...

}

The argument S->maxDelayTime initializes the internal module achieving the desired effect.

...

Disambiguating Wire Allocation

If look at the default subsystem including wiring information, we see:

...

...

By default, the input and output pins are mono and the system ends up using 3 scratch wires:

...