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Recent content by armin

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    Converting DFT samples to DCT

    DFT to DCT??? Hi assume that your signal is u(n) for n=0,1,...,N-1 & that DCT{u(n)}=v(k) for k=0,1,...,N-1 now define s(n) such that: s(n)=u(2n) ] ] for n=0,1,...,N/2 -1 s(N-n-1)=u(2n+1) ] now it is shown that...
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    Signal processing of a sampled signal

    Hi Poison could you upload original data for me ? thanks Armin
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    How to express local peak in Matlab

    Local peak in Matlab Hi Nab I will appreciate if you upload a file containing your data. (you can use this code to generate it): %-------------------------------- D=[..];% your data fid=fopenf('file_name','wt') %open file if not %available make it...
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    Help me with LZW technique coding in Matlab

    LZW technique Hi i refer you to "digital image processing with MATLAB" by Gonzalez & Woods i cant recall # of related chapter ,but its the chapter which discusses IMAGE COMPRESSION. well i think uploading the book is illegal here. but you may find it via web for free.(not really legally!!)...
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    Z transforms Two questions

    Hi thanks to Tzushky for his/her deep insight about the problem I think I have to clarify my last post. I used the following well known procedure: 1)multipled both numerator & denominator by z^8 2)ordered new numerator & new denominator 3)used only first 2 coefficients of numerator & first...
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    Signal processing of a sampled signal

    Hi I agree with tzushky, original signal contains Low frequency content which caused the drift. this is the usual case when processing Biomedical signals & low freq. content is due to "MOTION ARTIFACT". first of all use a LP filter to omit DC of your signal. the result will have zero...
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    How to express local peak in Matlab

    Local peak in Matlab Hi I dont know any simple orders in MATLAB for to find local maxima but maybe : FIRST LP YOUR DATA,say D then: D=[...] %array of your data C=der(D) % first derivative of your data C(C<Th & C>-1*Th)=0 % set zero small values find(C==0) the latest order will give you...
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    Z transforms Two questions

    Hi well;there is a simple way,BUT result is different(!) as you know : N(z)/D(z)=sum(ai*z-i,i=-infinite:infinite) i.e. dividing numerator to denominator will give you the coefficients. Z^8 x (2Z^-8+...)/[Z^7 * (Z^-8+...)]= (4Z^8 - 2Z^5 +...)/(-4Z^5 + 2Z^3) 4 Z^8 - 2 Z^5 +... |__ -4...
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    What do zeros tell us about the system?

    zeros Hi well here are some few things I can still remeber(!) I hope it helps. in control engineering ,most of times , zeros are added to a system to stabilize it; & to improve transient response of a system. zeros do not have a simple interpretation just like poles. also zeros delays the...
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    Looking for Bayesian thresholding code

    bayesian thresholding Hi I think that,if you explain what you are looking for in More detail ,me or others would able to help. regards Armin
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    Passing arguments between functions in Matlab

    Matlab help hi Ali passing arguments from function F1 to F2 in MATLAB: assume that you want to pass variable V1 from F1 to F2 you can declare V1 as a global variable at all places that you use V1: %------------------- function ..=F1(...) .. global V1 V1=5; ... end %------------------ and use...
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    beginner book for image processing

    Hi "Digital Image Processing" by Gonzalez & Woods is an easy one. "Fundamentals of Digital Image Processing" by Anil Jain is very impressive but a little old. 1989(?) besides there are many useful links on web e.g. https://ee.sharif.edu/~miap/ contains good survey papers,which you may...
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    Looking for references about Hadamard Transform

    Hadamard Transform Hi WHT : Walsh Hadamard Transform I have uploaded basis images of WHT for case N=4; we have 16 ,4x4 basis Hadamard images. our original 4x4 image is projected on basis images & corresponding WHT coefficient are obtained. Properties of WHT: 1)WHT is a vary fast transform...
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    Pulse integration in Matlab

    PULSE INTEGRATION Hi assume that your deterministic signal say X(t) has a period of T. and assume that each time you repeat X(t) ,an additive noise is added to X(t) ,say Ni(t) and you will have Yi(t); where i is the index of the corresponding interval and Yi(t)=X(t)+Ni(t)...

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