Merge remote-tracking branch 'origin/master'

1 files changed, 0 insertions, 74 deletions

diff --git a/simulation/QAM_Fading/epy_block_0.py b/simulation/QAM_Fading/epy_block_0.py
deleted file mode 100644
index 48fe6e9..0000000
--- a/simulation/QAM_Fading/epy_block_0.py
+++ /dev/null
@@ -1,74 +0,0 @@
-"""
-Embedded Python Blocks:
-
-Each time this file is saved, GRC will instantiate the first class it finds
-to get ports and parameters of your block. The arguments to __init__  will
-be the parameters. All of them are required to have default values!
-"""
-
-import numpy as np
-from numpy.fft import fft,ifft,fftshift
-from gnuradio import gr
-
-
-class blk(gr.sync_block):  # other base classes are basic_block, decim_block, interp_block
-    """Embedded Python Block example - a simple multiply const"""
-
-    def __init__(self, amplitudes=[], delays=[], los=True):  # only default arguments here
-        """arguments to this function show up as parameters in GRC"""
-        gr.sync_block.__init__(
-            self,
-            name='Embedded Python Block',   # will show up in GRC
-            in_sig=[np.complex64],
-            out_sig=[np.complex64]
-        )
-        # if an attribute with the same name as a parameter is found,
-        # a callback is registered (properties work, too).
-        self.amplitudes = amplitudes
-        self.delays = delays
-        self.temp = [0]
-        # if los:
-        #     self.amplitudes.append(1)
-        #     self.delays.append(0)
-        self.los= 1
-        #self.fir = 
-
-    def work(self, input_items, output_items):
-        """example: multiply with constant"""
-        inp = input_items[0]
-        oup = output_items[0]
-        
-        if len(self.amplitudes) != len(self.delays):
-            raise Exception("Amplitudes and Delay length dont match")
-
-        #    raise Exception("Delay length can't be one")
-        #if np.min(self.delays)<=1:
-        #    raise Exception("Delay length can't be one")
-        max_len = np.max(self.delays)
-        sum_x = np.zeros(max_len)
-        for(a,d) in zip(self.amplitudes,self.delays):
-            # if d-1 <= 0:
-            #     x = np.concatenate([[a], np.zeros(max_len-1)])
-            # else:                
-            x = np.concatenate([np.zeros(d-1), [a], np.zeros(max_len-d)])
-            sum_x += x
-        
-        sum_x[0] = self.los
-        print(sum_x)
-        
-        #H_int = fft(sum_x)
-
-        #h = ifft(H_int)
-
-        #h[0]=1
-
-        y = np.convolve(inp, sum_x)
-        
-        y+=np.concatenate([self.temp,np.zeros(len(y)-len(self.temp))])
-        
-
-        oup[:] = y[:len(inp)]
-        self.temp = y[len(inp):]        
-        
-
-        return len(oup)
\ No newline at end of file