Procedure:-
1) Get the sampling frequency
2) Get the pass band frequency
3) Get the stop band frequency or transition width
4) Get the pass band ripple and stop band attenuation
5) Select the window suitable for the stop band attenuation
6) Calculate the order ,N, based on the Transition width
7) Find the N window coefficients
8) Find truncated impulse response of h
9) Verify the frequency response of h

MATLAB program for FIR filter
clear
clc
close all
% ENTER THE SAMPLING FREQUENCY
Fs = 8000;
%NORM ....etc

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what is the program for fir filter in code composer studio? ....etc

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DESIGNING A FIR FILTER:
Following are the steps to design linear phase FIR filters Using Windowing Method.

I. Clearly specify the filter specifications.
Eg: Order = 30;
Sampling Rate = 8000 samples/sec
Cut off Freq. = 400 Hz.

II. Compute the cut-off frequency Wc
Eg: Wc = 2*pie* fc / Fs
= 2*pie* 400/8000
= 0.1*pie

III. Compute the desired Impulse Response h d (n) using particular Window
Eg: b_rect1=fir1 (order, Wc , 'high',boxcar(31));

IV. Convolve input sequence with truncate ....etc

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Hi I am Siddhartha and a registered user in this website. I have taken a project regarding the FIR IMPLEMENTATION WITH COEFFICIENTS EXTRACTION. I have extracted the coefficients from the matlab software. And also converted them into their respective hexa decimal values. I have written a verilog code and executed the code. When executed the code no errors have been found but some warnings I have got. I request you to send the verilog code for FIR filter to the following mail ID i.e. [email protected]. I also enclose the base paper f ....etc

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where can i get matlab code for fir filter designing by pso technique. ....etc

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K Rashmi Sekhar
K.Sravanthi
S.Sneha Deepthi


Abstract
Differential Evolution Algorithm is discussed. The design of a linear phase FIR Filter using DIFFERENTIAL EVOLUTION Algorithm is proposed. The frequency response of the designed LOW PASS FIR filter using Differential Evolution for different population and iterations are realized and compared. The best obtained filter can be used as a pulse-shaping filt ....etc

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#include xyzcfg.h

#include dsk6713.h
#include dsk6713_aic23.h

float filter_Coeff ={0.000000,-0.001591,-0.002423,0.000000,0.005728,
0.011139,0.010502,-0.000000,-0.018003,-0.033416,-0.031505,0.000000,
0.063010,0.144802,0.220534,0.262448,0.220534,0.144802,0.063010,0.000000,
-0.031505,-0.033416,-0.018003,-0.000000,0.010502,0.011139,0.005728,
0.000000,-0.002423,-0.001591,0.000000 };

static short in_buffer;

DSK6713_AIC23_Config config = {\
0x0017, /* 0 DSK6713_AIC23_LEFTINVOL Leftline input channel volume */\ ....etc

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flow chart for linear convolution using vedic multiplier ....etc

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Code Composer is the DSP industry's first fully integrated development environment (IDE) with DSP-specific functionality. With a familiar environment liked MS-based C++TM, Code Composer lets you edit, build, debug, profile and manage projects from a single unified environment. Other unique features include graphical signal analysis, injection/extraction of data signals via file I/O, multi-processor debugging, automated testing and customization via a C-interpretive scripting language and much more.
CODE COMPOSER FEATURES INCLUDE:
• I ....etc

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% FIR Low pass filters using rectangular, triangular and kaiser windows
% sampling rate – 8000
order = 50;
cf=; cf--> contains set of cut-off frequencies

% cutoff frequency – 500
b_rect1=fir1(order,cf(1),boxcar(51)); %Rectangular
b_tri1=fir1(order,cf(1),bartlett(51)); %Triangular
b_kai1=fir1(order,cf(1),kaiser(51,8)); %Kaisar

% cutoff frequency - 1000
b_rect2=fir1(order,cf(2),boxcar(51));
b_tri2=fir1(order,cf(2),bartlett(51));
b_kai2=fir1(order,cf(2) ....etc

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