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Inverse Discrete wavelet transform of Selected coefficients

Hi,

I'm using the Advanced signal processing toolkit which I has the wavelet analysis VI's. I would like to perform a Wavelet Transfom of a signal, display the detail coefficients and the approximation coefficients and then perform and inverse DWT. As you can see I have no trouble with the DWT and I'm able to display the coefficients as desired. The next part I want to do is to reconstruct the signal leaving out some of the coefficient, e.g, the coefficients containing the noise, usually the lowest ones. 

 
I haven't found a suitable VI to perform this function; in my block diagram, I performed  IDWT (WA Inverse Discrete Wavelet Transform) which reconstructs the signal entirely (with the noise) and I also use the WA inverse filter bank to perform the IDWT with the highest level coefficients, I believe the latter VI only works with the approximate and its respective detail coefficient, as opposed with multiple coefficients one wishes to. 
 
Any feedback would be appreciated. 
 
Mr Analysis.png
 
I attached a file in this link so you can try run the VI. 
 
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Message 1 of 5
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How about imlpementing a Low-Pass filter to filter out lower unwanted frequencies/noise?

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Message 2 of 5
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I could add a low pass filter IIR to my data but the pourpose of this excersice is to use of the DWT to exactract useful information about a signal, e.g. feature extraction. What I also want to do is take one of the peaks observed at the coefficients and map it back to the original signal's time domain. 

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Message 3 of 5
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Anybody can help? Still stuck with this problem...

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Message 4 of 5
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Did any answer for how to find Inverse Discrete Wavelet Transform
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