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Re: negative frequencies
First of all you must know what the Fourier transform and Fourier series do with the signals.
In mathematics we have a gr8 art of splitting something (signal, systems, etc.) into "linear combination of orthonormal basis". this representation allow us to have a good...
With a lot of development for fixed point algos Floating point DSP's are almost obsolete. TI has stopped their support for 67xx. Whereas Xilinx has started support for Floating Point in Vertex II or III or later version(I am not confirmed). So it will cost u more to implement a algo as floating...
Weiner and LMS both are stochastic based filters. If we do not consider E[.] operator in Wiener then we will get an iterative form LMS of Wiener. So we can do same thing just by implementing an iterative Algo rather than implementing wiener filter which requires computation of inv(R)
Dear both are frequency responses. The first one is 20*log|H(ω)| against Frequency (Hz) and second one is normalized by max(20*log|H(ω)|).
If u want to compute cutoff frequency for this system then use normalized one.
Second plot is generated using two arrays say H along y-axis and f along...
Re: matlab with visual c
Try search for mex.h which is a header file for C. MEX related functions that can be used to exchange data between Matlab and C. I can send you tutorials on this topic however you can search Matlab Help for External Interfaces
If u have coefficients a and b den use [H,W]=freqz(b,a,....) built in function of MATLAB. Plot abs(H) against W because you have to compute gain at each frequency W
Hi I think u r going to implement DCT in Fixed Point Arithmatic. For that u need to multiply ur floating point data (e.g. DCT Matrix ) with 2^23 and den round,Store this matrix in an array. Now on each multiplication round 22 bit and shift down by 23.I can send u Some Lecture slides if u want
dc mean fft length dt
%Copy this code and run it in MATLAB
% Use mic to record sound ;test ur mic using windows recorder
%
Fs = 11025;
y = wavrecord(5*Fs,Fs); %Recording sound for 5 sec
t=[0:1/Fs:(length(y)-1)/Fs];
subplot(211)
plot(t,y),title('Time Domain Speach Signal'),xlabel('Time (t)...
Re: Gaussian blurring
Here is a code for gray level Gaussian Blurring. I have submitted last night to my Course Instructor as an assignment.
Save both functions in different files with .m format and try
glpf('cameraman.tif',15)
u can try for any gray level image placed in pwd or fully...
Sorry for saying it to be a funny Question.As period of impulse train approaches to zero then all the impulses will superimpose and diverge to infinity.and once again it FT will be a funny thing
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