Frequency Xlating FFT Filter

This is a hier block, consisting of a FFT Filter block and a Rotator block. It performs a frequency translation on the signal, as well as downsamples the signal by running a decimating FIR filter on it. It can be used as a channelizer, to pull out a narrowband portion of a wideband signal, without that narrowband portion having to be centered in frequency.

(note- taken from http://blog.sdr.hu/grblocks/xlating-fir.html)

See this page or this page for more details.

Parameters

Decimation

The integer ratio between the input and the output signal’s sampling rate.

Taps

The vector of the complex or real taps of the FIR filter. You can generate these taps within the parameter box using firdes, for example:

Real taps:

 firdes.low_pass(1,samp_rate,samp_rate/(2*decimation), transition_bw)

Complex taps:

 firdes.complex_band_pass(1, samp_rate, -samp_rate/(2*decimation), samp_rate/(2*decimation), transition_bw)

Note: transition_bw is the transition bandwidth of the filter in Hz. The lower it is, the more taps the function will generate, and the more CPU time it will take to apply this filter. This parameter will determine the CPU usage and thus the execution speed of the block.

Center Frequency

The frequency translation offset frequency.

Sample Rate

The sample rate of the input signal.

Sample Delay

Sets the sample delay of the filter block, see FFT Filter for more info.

Num Threads

Sets the number of threads used by the filter block, see FFT Filter for more info.

Source Files

Python Hier Block