## Filter Design HDL Coder |

This example illustrates how to generate HDL code for an ITU-R BT.601 luma filter with 8-bit input data and 10-bit output data. This filter is a low-pass filter with a -3 dB point of 3.2 MHz with a 13.5 MHz sampling frequency and a specified range for both passband ripple and stopband attenuation shown in the ITU specification. The filter coefficients were designed using the DSP System Toolbox™. This example focuses on quantization effects and generating HDL code for the filter.

Assign the previously designed filter coefficients to variable b. This is a halfband filter and, therefore, every other coefficient is zero with the exception of the coefficient at the filter midpoint, which is exactly one-half.

Check that double-precision filter design meets the ITU-R BT.601 template for passband ripple and stopband attenuation using freqz and plot the passband. The red lines show the allowed variation in the specification.

b = [0.00303332064210658, 0,... -0.00807786494715095, 0,... 0.0157597395206364, 0,... -0.028508691397868, 0,... 0.0504985344927114, 0,... -0.0977926818362618, 0,... 0.315448742029959,... 0.5,... 0.315448742029959, 0,... -0.0977926818362618, 0,... 0.0504985344927114, 0,... -0.028508691397868, 0,... 0.0157597395206364, 0,... -0.00807786494715095, 0,... 0.00303332064210658]; f = 0:100:2.75e6; H = freqz(b,1,f,13.5e6); plot(f,20*log10(abs(H))); title('HDL Video Filter Double-Precision Passband'); axis([0 2.75e6 -.8 .8]); passbandrange = {[2.75e6; 1e6; 0; 1e6; 2.75e6],... [ -0.5; -0.5; 0; 0.5; 0.5]}; line(passbandrange{:}, 'Color', 'red');

The red line shows a "not to exceed" limit on the stopband.

f = 4e6:100:6.75e6; H = freqz(b,1,f,13.5e6); plot(f,20*log10(abs(H))); title('HDL Video Filter Double-Precision Stopband'); axis([4e6 6.75e6 -70 -35]); stopbandrange = {[4e6; 6.25e6; 6.75e6],... [-40; -55; -55]}; line(stopbandrange{:}, 'Color', 'red');

Create a quantized version of the filter and see what quantizer settings are needed. Experiment with the coefficient word length to get the desired response for 8-bit input data and 10-bit output data.

Hd = dfilt.dffir(b); Hd.Arithmetic = 'fixed'; Hd.InputWordLength = 8; Hd.InputFracLength = 7; %Try 10-bit coefficients Hd.CoeffWordLength = 10;

Now examine the passband and stopband response of the quantized filter relative to the specification. Plot and check the quantized passband first.

The quantized design meets the passband specifications except at DC, where it misses the specification by about 0.035 dB.

f = 0:100:2.75e6; H = freqz(Hd.Numerator,1,f,13.5e6); plot(f,20*log10(abs(H))); title('HDL Video Filter Quantized Passband'); axis([0 2.75e6 -.8 .8]); line(passbandrange{:}, 'Color', 'red');

The red lines again show a "not to exceed" limit on the stopband.

The stopband limit is violated, which indicates a problem with the quantization settings.

f = 4e6:100:6.75e6; H = freqz(Hd.Numerator,1,f,13.5e6); plot(f,20*log10(abs(H))); title('HDL Video Filter Quantized Stopband'); axis([4e6 6.75e6 -70 -35]); line(stopbandrange{:}, 'Color', 'red');

Adding more bits to the coefficient word length enables the filter to meet the specification. Increment the word length by one and replot the stopband.

This just misses the specification at the end of the stopband. This small deviation from the specification might be acceptable if you know that some other part of your system applies a lowpass filter to this signal.

Hd.CoeffWordLength = 11; f = 4e6:100:6.75e6; H = freqz(Hd.Numerator,1,f,13.5e6); plot(f,20*log10(abs(H))); title('HDL Video Filter Quantized Stopband'); axis([4e6 6.75e6 -70 -35]); line(stopbandrange{:}, 'Color', 'red');

Add one more bit to the coefficient quantizer word length and replot the stopband. This should meet the specification.

Hd.CoeffWordLength = 12; f = 4e6:100:6.75e6; H = freqz(Hd.Numerator,1,f,13.5e6); plot(f,20*log10(abs(H))); title('HDL Video Filter Final Quantized Stopband'); axis([4e6 6.75e6 -70 -35]); line(stopbandrange{:}, 'Color', 'red');

Recheck the passband to be sure the changes have improved the problems in the response near DC. The response now passes the specification.

f = 0:100:2.75e6; H = freqz(Hd.Numerator,1,f,13.5e6); plot(f,20*log10(abs(H))); title('HDL Video Filter Final Quantized Passband'); axis([0 2.75e6 -.8 .8]); line(passbandrange{:}, 'Color', 'red');

Starting from the correctly quantized filter, generate VHDL or Verilog code. You also have the option of generating a VHDL or Verilog test bench to verify that the HDL design matches the MATLAB® filter.

Create a temporary work directory. After generating the HDL (selecting VHDL in this case), open the generated VHDL file in the editor.

To generate Verilog instead, change the value of the property 'TargetLanguage', from 'VHDL' to 'Verilog'.

The warnings indicate that by selecting another filter structure, such as symmetric FIR, or by setting 'OptimizeForHDL' to 'on' the resulting HDL code might produce smaller area or run at a higher clock rate.

workingdir = tempname; generatehdl(Hd,'Name', 'hdlvideofilt', 'TargetLanguage', 'VHDL',... 'TargetDirectory', workingdir); edit(fullfile(workingdir, 'hdlvideofilt.vhd'));

Warning: Structure fir has symmetric coefficients, consider converting to structure symmetricfir for reduced area. Warning: Structure fir has symmetric coefficients, consider converting to structure symmetricfir for reduced area. ### Starting VHDL code generation process for filter: hdlvideofilt ### Generating: <a href="matlab:edit('/tmp/BR2015bd_259410_35349/tp2ff18f22_77d2_4d53_90fc_dc62d5066eb6/hdlvideofilt.vhd')">/tmp/BR2015bd_259410_35349/tp2ff18f22_77d2_4d53_90fc_dc62d5066eb6/hdlvideofilt.vhd</a> ### Starting generation of hdlvideofilt VHDL entity ### Starting generation of hdlvideofilt VHDL architecture ### Successful completion of VHDL code generation process for filter: hdlvideofilt ### HDL latency is 2 samples

Generate a VHDL test bench to make sure that it matches the response in MATLAB exactly. Select the default input stimulus, which for FIR is impulse, step, ramp, chirp, and noise inputs. After generating the test bench code, open the test bench file in the editor.

To generate a Verilog test bench instead, change the second argument from 'VHDL' to 'Verilog'.

generatehdl(Hd,'Name', 'hdlvideofilt', 'TargetLanguage', 'VHDL',... 'TargetDirectory', workingdir, 'GenerateHDLTestbench', 'on'); edit(fullfile(workingdir, 'hdlvideofilt_tb.vhd'));

Warning: Structure fir has symmetric coefficients, consider converting to structure symmetricfir for reduced area. Warning: Structure fir has symmetric coefficients, consider converting to structure symmetricfir for reduced area. ### Starting VHDL code generation process for filter: hdlvideofilt ### Generating: <a href="matlab:edit('/tmp/BR2015bd_259410_35349/tp2ff18f22_77d2_4d53_90fc_dc62d5066eb6/hdlvideofilt.vhd')">/tmp/BR2015bd_259410_35349/tp2ff18f22_77d2_4d53_90fc_dc62d5066eb6/hdlvideofilt.vhd</a> ### Starting generation of hdlvideofilt VHDL entity ### Starting generation of hdlvideofilt VHDL architecture ### Successful completion of VHDL code generation process for filter: hdlvideofilt ### HDL latency is 2 samples ### Starting generation of VHDL Test Bench. Warning: Structure fir has symmetric coefficients, consider converting to structure symmetricfir for reduced area. ### Generating input stimulus ### Done generating input stimulus; length 3261 samples. ### Generating Test bench: <a href="matlab:edit('/tmp/BR2015bd_259410_35349/tp2ff18f22_77d2_4d53_90fc_dc62d5066eb6/hdlvideofilt_tb.vhd')">/tmp/BR2015bd_259410_35349/tp2ff18f22_77d2_4d53_90fc_dc62d5066eb6/hdlvideofilt_tb.vhd</a> ### Creating stimulus vectors ... ### Done generating VHDL Test Bench.

Plot the default test bench stimulus used by above command, using the generatetbstimulus function. With no output variable, the function plots the stimulus.

generatetbstimulus(Hd);

You designed a double precision filter to meet the ITU-R BT.601 luma filter specification and then created a quantized filter that also met the specification. You generated VHDL code and a VHDL test bench that functionally verified the filter.

You can use a VHDL simulator, such as ModelSim®, to verify these results. You can also experiment with Verilog. You can use many optimizations to get smaller and faster HDL results by removing the constraint that the generated HDL be exactly true to MATLAB. When you use these optimizations, the HDL test bench can check the filter response to be within a specified error margin of the MATLAB response.