I am working on a school project, and I need to create a Linear phase, causal,
digital Bandpass FIR filter using windowing methods. with the following
specifications. >
>Sampling fs= 24khz
>Passband freq= p1= 2*pi*4000, and p2= 2*pi*8000 rad/sec
>stopband freq= st1=2*pi*3000 st2=2*pi*9000 rad/sec
>Minimum stopband attenuation = 40db
>
>having the lowest possible filter length.
>
>I found this code online and was trying to adapt it too my specifications.
>
>fs 000; % sampling rate
>F=[3000 4000 6000 8000]; % band limits
>A=[0 1 0]; % band type: 0='stop',
1='pass'
>dev=[0.0001 10^(0.1/20)-1 0.0001]; % ripple/attenuation spec
>[M,Wn,beta,typ]= kaiserord(F,A,dev,fs); % window parameters
>b=fir1(M,Wn,typ,kaiser(M+1,beta),'noscale'); % filter design
>So far I have
>
>fs$000; % sampling rate
>F=[3000 4000 8000 9000]; % band limits
>A=[0 1 0]; % band type: 0='stop',
1='pass'
>dev=[0.0001 10^(0.1/20)-1 0.0001]; % ripple/attenuation spec
>[M,Wn,beta,typ]= kaiserord(F,A,dev,fs); % window parameters
>b=fir1(M,Wn,typ,kaiser(M+1,beta),'noscale'); % filter design
>
>I don't understand the DEV in this code.
>
>any help would be awesome.
>
Have you considered typing "help kaiserord" in Matlab?
The reason why you dont understand is because you 'found' the code
online, although there are so many examples in Help for Signal Processing
Toolbox. You should first go through the help provided by The Mathworks
Reply by ubaid_abdullah●May 6, 20092009-05-06
--- In m..., mike_st.vincent@... wrote: >
> I am working on a school project, and I need to create a Linear phase, causal,
digital Bandpass FIR filter using windowing methods. with the following
specifications.
>
> Sampling fs= 24khz
> Passband freq= p1= 2*pi*4000, and p2= 2*pi*8000 rad/sec
> stopband freq= st1=2*pi*3000 st2=2*pi*9000 rad/sec
> Minimum stopband attenuation = 40db
>
> having the lowest possible filter length.
>
> I found this code online and was trying to adapt it too my specifications.
>
> fs 000; % sampling rate
> F=[3000 4000 6000 8000]; % band limits
> A=[0 1 0]; % band type: 0='stop',
1='pass'
> dev=[0.0001 10^(0.1/20)-1 0.0001]; % ripple/attenuation spec
> [M,Wn,beta,typ]= kaiserord(F,A,dev,fs); % window parameters
> b=fir1(M,Wn,typ,kaiser(M+1,beta),'noscale'); % filter design
> So far I have
>
> fs$000; % sampling rate
> F=[3000 4000 8000 9000]; % band limits
> A=[0 1 0]; % band type: 0='stop',
1='pass'
> dev=[0.0001 10^(0.1/20)-1 0.0001]; % ripple/attenuation spec
> [M,Wn,beta,typ]= kaiserord(F,A,dev,fs); % window parameters
> b=fir1(M,Wn,typ,kaiser(M+1,beta),'noscale'); % filter design
>
> I don't understand the DEV in this code.
you didn't understand even after typing
help kaiserord
Reply by mike...@comcast.net●May 5, 20092009-05-05
I am working on a school project, and I need to create a Linear phase, causal,
digital Bandpass FIR filter using windowing methods. with the following
specifications.