I am attempting to port Matlab's fillgaps.m function to Python (3.5). However, I am getting an error using scipy.signal.lfilter that I am not getting with Matlab's filter.
我正在尝试移植Matlab的填充间隙。函数为Python(3.5)。但是，我在使用scipy.signal时会得到一个错误。lfilter我没有使用Matlab的过滤器。
Here is the call to Matlab:
这里是对Matlab的调用:
y = xmean + filter(1, a, zeros(n,1), zi);
And here is the equivalent call in Python:
这是Python中的等效调用:
y = xmean+ signal.lfilter(1.0, a, np.zeros(num), zi=zi)
When I export the variables a and zi to a .mat file and open them in Matlab, the filter function works perfectly with these inputs. When I try to run it in Python, I get the above described error.
当我将变量a和zi导出到一个.mat文件并在Matlab中打开它们时，过滤器函数与这些输入非常匹配。当我尝试在Python中运行它时，我得到了上面描述的错误。
I have checked the dimension and dtypes. All arrays are unidimensional, a = complex128, zi = float64. Have tried a number of things but can't figure out why I am getting this error. Any and all help appreciated.
我检查了尺寸和dtype。所有数组都是一维的，a = complex128, zi = float64。我试过很多方法，但是不明白为什么会有这样的错误。谢谢您的帮助。
Here are the values (in python) for a and zi:
以下是a和zi的值(在python中):
a = array([ 1.00000000e+00+0.j, -2.70935726e-02+0.j, -1.15789376e-02+0.j,
-1.98057684e-02+0.j, -2.25423783e-02+0.j, -1.41692884e-02+0.j,
-1.20045443e-02+0.j, -3.51421691e-02+0.j, 3.17664590e-02+0.j,
1.07995240e-02+0.j, -5.03236758e-02+0.j, 4.89807966e-03+0.j,
1.91325890e-02+0.j, 4.19319753e-03+0.j, -1.83287430e-02+0.j,
1.42018717e-02+0.j, 4.66251295e-03+0.j, -9.58279973e-03+0.j,
-4.66934046e-02+0.j, -1.23595915e-02+0.j, -1.36345584e-02+0.j,
-5.48025750e-02+0.j, -2.61885789e-02+0.j, 3.41874812e-02+0.j,
-3.39146503e-02+0.j, 7.24647340e-03+0.j, -3.09997175e-03+0.j,
2.52408792e-04+0.j, 4.98181682e-04+0.j, 2.63870087e-02+0.j,
-1.41230931e-03+0.j, -2.98472540e-02+0.j, 1.23020312e-02+0.j,
-1.44598876e-02+0.j, -2.72529482e-02+0.j, 3.23019049e-03+0.j,
-2.45261907e-02+0.j, -3.47863724e-03+0.j, -3.16002665e-02+0.j,
1.69494955e-03+0.j, -3.09652680e-02+0.j, 1.16077783e-02+0.j,
-3.34100416e-02+0.j, 1.75261726e-02+0.j, 2.35075197e-02+0.j,
-2.66728197e-02+0.j, -6.64703471e-02+0.j, 2.56310154e-02+0.j,
4.76553111e-02+0.j, 4.24359187e-02+0.j, -2.89893391e-02+0.j,
2.00330377e-02+0.j, 1.96124837e-02+0.j, -1.77582482e-02+0.j,
3.86381755e-02+0.j, 7.26590951e-04+0.j, 5.16844059e-02+0.j,
2.46780269e-02+0.j, 5.34384144e-02+0.j, 6.78603392e-03+0.j,
-3.54646047e-02+0.j, -1.32729311e-02+0.j, 2.59420076e-02+0.j,
1.85098936e-02+0.j, 4.45395121e-02+0.j, -3.92429814e-02+0.j,
-3.89796421e-02+0.j, 2.20405379e-02+0.j, -8.63736348e-03+0.j,
2.68239735e-03+0.j, -1.03579143e-02+0.j, -5.89401053e-02+0.j,
-3.95822344e-02+0.j, 2.09142658e-02+0.j, 3.28387139e-02+0.j,
-1.04128182e-02+0.j, 3.43679950e-02+0.j, 2.45223935e-02+0.j,
-3.70110350e-02+0.j, 3.95134169e-03+0.j, 1.70200671e-02+0.j,
5.23911230e-02+0.j, -3.41677105e-02+0.j, -2.41059836e-02+0.j,
6.97557293e-02+0.j, -3.49596809e-02+0.j, 3.68709565e-02+0.j,
-3.18886782e-03+0.j, 7.18717257e-03+0.j, 5.46197524e-02+0.j,
-2.35836748e-02+0.j, -3.75519276e-02+0.j, -4.31577781e-03+0.j,
1.76588126e-02+0.j, -1.02689533e-02+0.j, -2.30576355e-02+0.j,
-5.27438233e-02+0.j, -3.48452509e-02+0.j, -2.59076858e-02+0.j,
-3.72227520e-02+0.j, -1.18783594e-02+0.j])
zi = array([-0.28800182, -0.11823229, 0.42399926, 0.24768215, -0.40467353,
-0.00891979, 0.41597322, 0.33758038, -0.31264365, 0.04907082,
-0.10106631, 0.10043108, -0.1913738 , 0.25340821, 0.04628681,
-0.53990489, -0.18571972, 0.48841714, 0.08038864, -0.13597892,
0.03956986, 0.02785582, -0.14437056, -0.17227514, 0.0425739 ,
-0.02831162, -0.13332336, 0.13052757, -0.07329633, -0.16956979,
-0.01114539, 0.19323476, 0.51933565, -0.06821965, 0.08742358,
0.15068969, 0.12491866, 0.33621545, 0.10871974, -0.17703344,
-0.19814925, -0.04463152, 0.20724609, 0.09555931, -0.24803401,
0.01754087, 0.44078615, -0.0039418 , -0.48378741, -0.0761448 ,
0.04216338, -0.25398915, 0.1618099 , -0.16114872, -0.14724196,
0.12027709, 0.02475517, 0.26327409, -0.05922461, -0.24010305,
-0.12426528, -0.18268166, 0.39327275, 0.02140904, 0.0610837 ,
-0.0604757 , -0.23424745, 0.23918637, -0.07565664, 0.00921331,
-0.1359693 , 0.00849616, 0.14398708, -0.36453633, 0.09897318,
0.02643048, -0.25749105, 0.09349411, -0.06791825, -0.06001741,
0.01643691, -0.02941722, 0.15251558, 0.11139054, -0.06704187,
-0.17978014, -0.08584244, -0.04024691, -0.08318234, -0.15475604,
-0.12907962, -0.00247357, -0.02784826, -0.06735719, -0.07769373,
-0.04051787, -0.0336488 , -0.05688553, -0.02657615, -0.0032041 ])
1 个解决方案
#1
1
Maybe this is what you need:
也许这就是你所需要的:
lfilter(array([1.0]), a, np.zeros(num), zi=zi)
#1
1
Maybe this is what you need:
也许这就是你所需要的:
lfilter(array([1.0]), a, np.zeros(num), zi=zi)