Multirate algorithm for updating the coefficients the station online dating game

09-Oct-2017 17:36

multirate algorithm for updating the coefficients-32

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Compared to the straight-forward implementation of interpolation by upsampling the signal by stuffing it with L-1 zeros , then filtering it, you save memory by a factor of (L-1)/L.

However, this adding-and-summing processing has no effect when the data sample is zero–which we know in advance will be the case for L-1 out of each L input samples of a FIR interpolation filter. The net result is that to interpolate by a factor of L, you calculate L outputs for each input using L different “sub-filters” derived from your original filter.A simple way to think of the amount of computation required to implement a FIR interpolator is that it is equal to the computation required for a non-interpolating N-tap filter operating at the input rate.In effect, you have to calculate L filters using N/L taps each, so that’s N total taps calculated per input.The greatest speedup (by a factor of 5 in certain cases) is obtained for a linear diffusion with relatively small diffusion coefficient.

Diffusion speed and block size are found to be major factors affecting the performance of this algorithm.

Diffusion problems arise in many branches of science and engineering.

Needed during the update part of the adaptive filter by a factor of P, the Periodic LMS algorithm P-LMS updates all the filter coefficients every Pth iteration instead of every iteration. The Sequential LMS S-LMS algorithm updates only a fraction of coefficients every iteration. Another variant referred to as “Max Partial Update.… continue reading »

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Two-channel filter bank is fundamental part of multi-rate filter bank and also called as quadrature mirror filter QMF bank. Fractional derivative is also used to update the coefficients according to prescribed adaptive learning algorithm 32; to design filter for image contrast enhancement 33; for the design of fixed.… continue reading »

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Upsampling” is the process of inserting zero-valued samples between original samples to increase the sampling rate. This is called “zero-stuffing”. Upsampling adds to the original signal undesired spectral images which are centered on multiples of the original sampling rate. “Interpolation”, in the DSP sense, is the.… continue reading »

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