Rank: 3229 based on 30 downloads (last 30 days) and 4 files submitted
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Abhirup Lahiri

E-mail
Company/University
Netaji Subhas Institute of Technology (NSIT)

Personal Profile:

http://abhirup.nsit.googlepages.com/publications

Professional Interests:
Analog Circuit design- filters and oscillators, noise analysis of circuits

 

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Files Posted by Abhirup View all
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(last 30 days)
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02 Jun 2008 Simulation of Color Noise The function is used to simulate color noise process using Euler-Maruyama Method Author: Abhirup Lahiri differential equation..., noise, color, sde, mathematics 10 0
26 Dec 2007 Inverse laplace Transform of Fractional Functions function can effectively compute inverse lalace Transform of functions of the form 1/(s^u(s^v-a)) wh Author: Abhirup Lahiri laplace, transform, circuit, design, inverse 5 0
21 Dec 2007 Brownian Motion Function to simulate Brownian Motion Author: Abhirup Lahiri simulation, brownian, brownian motion, stochastic calculus, simulation model, cont 8 1
  • 2.0
2.0 | 1 rating
18 Dec 2007 Stochastic Differential Equation (SDE) Solutions Function used to find solutions of first two moments of LSDE Author: Abhirup Lahiri differential equation..., linear, sde, lsde, mathematics, differntial equations 7 0
Comments and Ratings on Abhirup's Files
Updated File Comment by Comments Rating
18 Dec 2007 Brownian Motion Function to simulate Brownian Motion Author: Abhirup Lahiri x@y.z, Jos

What I like: it pre-allocates the output.

What I do not like:
1) The help is very poor: if I follow it, the function errors when I enter a time vector (e.g., 1:10) and a number of samples (10). Probably t is to be a scalar also, but that is not clear. It has no H1 line, no useful help on its inputs or outputs, no example.

2) It has no error checks on its inputs, checking for common mistakes (like no scalar inputs).

3) It is poorly programmed, calculating unused variables, etc, setting the rand state without warning, no internal comments

4) it is very trivial, and can be coded in one line: "w = [0 ; cumsum(sqrt(t/n).*rand(n-1,2))]; "

Finaly, try to make clear why anybody wishes to use of this function.

I think this submission is to be rated 1.5 stars ...

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