qa_filter_delay_fc.py

这是用python语言写的一个数字广播的信号处理工具包。利用它

                            (-0.5877840518951416        +0.87856143712997437j), 
                            (-0.95105588436126709       +0.35447561740875244j), 
                            (-0.95105588436126709       -0.26055556535720825j), 
                            (-0.5877838134765625        -0.77606213092803955j), 
                            (-8.7774534307527574e-09    -0.96460390090942383j), 
                            (0.58778399229049683        -0.78470128774642944j), 
                            (0.95105588436126709        -0.28380891680717468j), 
                            (0.95105588436126709        +0.32548999786376953j), 
                            (0.5877838134765625         +0.82514488697052002j), 
                            (1.4629089051254596e-08     +1.0096219778060913j), 
                            (-0.5877840518951416        +0.81836479902267456j), 
                            (-0.95105588436126709       +0.31451958417892456j), 
                            (-0.95105588436126709       -0.3030143678188324j), 
                            (-0.5877838134765625        -0.80480599403381348j), 
                            (-1.7554906861505515e-08    -0.99516552686691284j), 
                            (0.58778399229049683        -0.80540722608566284j), 
                            (0.95105582475662231        -0.30557557940483093j), 
                            (0.95105588436126709        +0.31097668409347534j), 
                            (0.5877838134765625         +0.81027895212173462j), 
                            (2.3406542482007353e-08     +1.0000816583633423j), 
                            (-0.5877840518951416        +0.80908381938934326j), 
                            (-0.95105588436126709       +0.30904293060302734j), 
                            (-0.95105588436126709       -0.30904296040534973j), 
                            (-0.5877838134765625        -0.80908387899398804j), 
                            (-2.6332360292258272e-08    -1.0000815391540527j), 
                            (0.58778399229049683        -0.80908381938934326j), 
                            (0.95105582475662231        -0.30904299020767212j), 
                            (0.95105588436126709        +0.30904293060302734j), 
                            (0.5877838134765625         +0.80908381938934326j), 
                            (3.218399768911695e-08      +1.0000815391540527j)) 

        
        fg = self.fg

        sampling_freq = 100
        ntaps = 51
        src1 = gr.sig_source_f (sampling_freq, gr.GR_SIN_WAVE,
                               sampling_freq * 0.10, 1.0)
        head = gr.head (gr.sizeof_float, int (ntaps + sampling_freq * 0.10))
        dst2 = gr.vector_sink_c ()


        # calculate taps
        taps = gr.firdes_hilbert (ntaps)
        hd = gr.filter_delay_fc (taps)

        fg.connect (src1, head)
        fg.connect (head, (hd,0))
        fg.connect (head, (hd,1))
        fg.connect (hd,dst2)
        fg.run ()

        # get output
        result_data = dst2.data ()

        self.assertComplexTuplesAlmostEqual (expected_result, result_data, 5)


    def test_003_filter_delay_two_inputs (self):

        # give two different inputs

        # expected result
        expected_result =         (                          -0.0020331963896751404j, 
                                                             -0.0016448829555884004j, 
                                                             -0.0032375147566199303j, 
                                                             -0.0014826074475422502j, 
                                                             -0.0033034090884029865j, 
                                                             -0.00051144487224519253j, 
                                                             -0.0043686260469257832j, 
                                                             -0.0010198024101555347j, 
                                                             -0.0082517862319946289j, 
                                                             -0.003456643782556057j, 
                                                             -0.014193611219525337j, 
                                                             -0.005875137634575367j, 
                                                             -0.020293503999710083j, 
                                                             -0.0067503536120057106j, 
                                                             -0.026798896491527557j, 
                                                             -0.0073488112539052963j, 
                                                             -0.037041611969470978j, 
                                                             -0.010557252913713455j, 
                                                             -0.055669989436864853j, 
                                                             -0.018332764506340027j, 
                                                             -0.089904911816120148j, 
                                                             -0.033361352980136871j, 
                                                             -0.16902604699134827j, 
                                                             -0.074318811297416687j, 
                                                             -0.58429563045501709j, 
                                    (7.2191945754696007e-09  -0.35892376303672791j), 
                                    (0.58778399229049683     +0.63660913705825806j), 
                                    (0.95105588436126709     +0.87681591510772705j), 
                                    (0.95105588436126709     +0.98705857992172241j), 
                                    (0.5877838134765625      +0.55447429418563843j), 
                                    (5.8516356205018383e-09  +0.026006083935499191j), 
                                    (-0.5877840518951416     -0.60616838932037354j), 
                                    (-0.95105588436126709    -0.9311758279800415j), 
                                    (-0.95105588436126709    -0.96169203519821167j), 
                                    (-0.5877838134765625     -0.57292771339416504j), 
                                    (-8.7774534307527574e-09 -0.0073488391935825348j), 
                                    (0.58778399229049683     +0.59720659255981445j), 
                                    (0.95105588436126709     +0.94438445568084717j), 
                                    (0.95105588436126709     +0.95582199096679688j), 
                                    (0.5877838134765625      +0.58196049928665161j), 
                                    (1.4629089051254596e-08  +0.0026587247848510742j), 
                                    (-0.5877840518951416     -0.59129220247268677j), 
                                    (-0.95105588436126709    -0.94841635227203369j), 
                                    (-0.95105588436126709    -0.95215457677841187j), 
                                    (-0.5877838134765625     -0.58535969257354736j), 
                                    (-1.7554906861505515e-08 -0.00051158666610717773j), 
                                    (0.58778399229049683     +0.58867418766021729j), 
                                    (0.95105582475662231     +0.94965213537216187j), 
                                    (0.95105588436126709     +0.95050644874572754j), 
                                    (0.5877838134765625      +0.58619076013565063j), 
                                    (2.3406542482007353e-08  +1.1920928955078125e-07j), 
                                    (-0.5877840518951416     -0.58783555030822754j), 
                                    (-0.95105588436126709    -0.95113480091094971j), 
                                    (-0.95105588436126709    -0.95113474130630493j), 
                                    (-0.5877838134765625     -0.58783555030822754j), 
                                    (-2.6332360292258272e-08 -8.1956386566162109e-08j), 
                                    (0.58778399229049683     +0.58783555030822754j), 
                                    (0.95105582475662231     +0.95113474130630493j), 
                                    (0.95105588436126709     +0.95113474130630493j), 
                                    (0.5877838134765625      +0.58783560991287231j), 
                                    (3.218399768911695e-08   +1.1920928955078125e-07j))

        fg = self.fg

        sampling_freq = 100
        ntaps = 51
        
        src1 = gr.sig_source_f (sampling_freq, gr.GR_SIN_WAVE,sampling_freq * 0.10, 1.0)
        src2 = gr.sig_source_f (sampling_freq, gr.GR_COS_WAVE,sampling_freq * 0.10, 1.0)
        
        head1 = gr.head (gr.sizeof_float, int (ntaps + sampling_freq * 0.10))
        head2 = gr.head (gr.sizeof_float, int (ntaps + sampling_freq * 0.10))

        taps = gr.firdes_hilbert (ntaps)
        hd = gr.filter_delay_fc (taps)

        dst2 = gr.vector_sink_c ()

        fg.connect (src1, head1)
        fg.connect (src2, head2)
        
        fg.connect (head1, (hd,0))
        fg.connect (head2, (hd,1))
        fg.connect (hd, dst2)

        fg.run ()

        # get output
        result_data = dst2.data ()

        self.assertComplexTuplesAlmostEqual (expected_result, result_data, 5)

        
if __name__ == '__main__':
    gr_unittest.main ()