There are also signals for which the phase characteristic is of the essence. The phase characteristic of a speech signal is not of the essence and as such can be neglected, which results in the possibility to use much wider range of systems for its prosessing. Speech signal, for example, can be processed in the systems with non-linear phase characteristic. I am trying to implement some FIR filters with Taps calculated in Matlab, i have been reviewing the code examples primarily the CE005, for FIR implementation. Im well experienced with matlab and simulink implementing DSP. Hi, I'm relatively new to the Dspic, but not to digital filter design. In most cases, it is only one characteristic that really matters and it is whether it is necessary that filter has linear phase characteristic or not.Īlternatively if you don't want to pay, you can use any FIR or IIR filter design software you want to come up with your coefficients, implementing the filter on the dsPIC is really easy with microchip's DSP library which is included in the C30 compiler, which I assume your using. Besides, it is necessary to take into account all fundamental characteristics of a signal to be filtered as these are very important when deciding which filter to use. Both types have some advantages and disadvantages that should be carefully considered when designing a filter. The two major types of digital filters are finite impulse response digital filters (FIR filters) and infinite impulse response digital filters (IIR). Filters can be classified in several different groups, depending on what criteria are used for classification.
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