This is what I am doing in general_work
1. I read an item from the input stream.
2. Check if its 0x01 or 0x00.
3. If its 0x01 I output the contents of d_pn_array[0], d_n_pn times.
(Basically I am spreading the input data by the ( pn_length * d_n_pn times
))
4. But if its 0x00 I output the contents of d_pn_array[1], d_n_pn times.
(Basically I am spreading the input data by the ( pn_length * d_n_pn times
))
The arrays d_pn_array[0] and d_pn_array[1] were initialised in the
constructor.
I only read the contents of the arrays and set the values to out[i]. This
shouldn't take such a long time although I must say that the lengths of the
arrays d_pn_array are 1023 and d_n_pn is 5 i.e. I output 1023*5 = 5115 items
for each input item.
int
dsss_spreading_b::general_work(int noutput_items,gr_vector_int
&ninput_items,gr_vector_const_void_star &input_items,gr_vector_void_star
&output_items)
{
const unsigned char *in = (const unsigned char *)input_items[0];
unsigned char *out = (unsigned char *)output_items[0];
int data_items=noutput_items/(d_length_PN*d_n_pn);
int nout=0;
for(int i=0;i<data_items;i++){
if(in[i]&0x01){
for(int j=0;j<d_length_PN*d_n_pn;j++){
out[nout]=d_pn_array1[j%d_length_PN];
nout++;
}
}
else{
for(int j=0;j<d_length_PN*d_n_pn;j++){
out[nout]=d_pn_array0[j%d_length_PN];
nout++;
}
}
}
consume(0,data_items);
return noutput_items;
}
On Mon, Nov 15, 2010 at 12:00 PM, Tom Rondeau <[email protected]>wrote:
> On Mon, Nov 15, 2010 at 11:43 AM, John Andrews <[email protected]> wrote:
> > On another note I use 'gr_block' to build this custom block
> >
> > On Mon, Nov 15, 2010 at 11:37 AM, John Andrews <[email protected]>
> wrote:
> >>
> >> Hi,
> >> I have a modified dbpsk.py in which I use a custom block after the
> >> self.diffenc (differential encoder block). This custom C++ block outputs
> >> 1000 output_items of size 'gr_sizeof_char' for each input_item of size
> >> 'gr_sizeof_char'. I then use benchmark_tx.py to test the functioning of
> the
> >> modified dbpsk.py and upon doing so the flowgraph slows down incredibly.
> >> What can I do to speed up the process?
> >>
> >> DiffEnc --> Custom Block --> Chunks2Symbols
> >> ( n ouputs) --> (n * 1000 outputs) --> (n *1000 outputs)
> >>
> >> Thanks
>
> You're really going to have to provide a lot more information about
> the block you've created. Posting the general_work function would be
> useful.
>
> Tom
>
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