Lines Matching refs:np
2 import numpy as np namespace
7 r = dsp.arm_add_f32(np.array([1.,2,3]),np.array([4.,5,7]))
41 r = dsp.arm_negate_q7(np.array([0x80,0x81,0x82]))
86 return(np.int32(0x7FFFFFFF))
88 return(np.int32(0x80000000))
90 return(np.int32(x))
92 q31satV=np.vectorize(q31sat)
95 return(q31satV(np.round(x * (1<<31))))
99 return(np.int16(0x7FFF))
101 return(np.int16(0x8000))
103 return(np.int16(x))
105 q15satV=np.vectorize(q15sat)
108 return(q15satV(np.round(x * (1<<15))))
112 return(np.int8(0x7F))
114 return(np.int8(0x80))
116 return(np.int8(x))
118 q7satV=np.vectorize(q7sat)
121 return(q7satV(np.round(x * (1<<7))))
133 x=np.array([1,2,3,4,5])/10.0
134 taps=np.array([1,2,3])/10.0
144 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]])
145 b=np.array([[1.,2,3,4],[5.1,6,7,8],[9.1,10,11,12]])
155 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]])
156 b=np.array([[1.,2,3],[5.1,6,7],[9.1,10,11],[5,8,4]])
157 print(np.dot(a , b))
162 ar=np.zeros(np.array(a.shape) * [1,2])
170 a=np.array([[1. + 2j,3 + 4j],[5 + 6j,7 + 8j],[9 + 10j,11 + 12j]])
171 b=np.array([[1. + 2j, 3 + 5.1j ,6 + 7j],[9.1 + 10j,11 + 5j,8 +4j]])
172 print(np.dot(a , b))
181 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]]) / 30.0
182 b=np.array([[1.,2,3,4],[5.1,6,7,8],[9.1,10,11,12]]) / 30.0
192 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]])
193 print(np.transpose(a))
196 a = np.array([[1., 2.], [3., 4.]])
197 print(np.linalg.inv(a))
200 a = np.array([[1., 2.], [3., 4.]])
201 print(np.linalg.inv(a))
204 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]])
208 a=np.array([1.,2,3,4,5,6,7,8,9,10,11,12])
209 print(np.max(a))
210 print(np.argmax(a))
213 print(np.mean(a))
216 print(np.dot(a,a))
221 ar=np.zeros(np.array(a.shape) * 2)
230 signal = np.cos(2 * np.pi * np.arange(nb) / nb)
232 result=np.fft.fft(signal)
243 result=np.fft.fft(signal)
256 result=np.fft.fft(signal)
271 signal = np.cos(2 * np.pi * np.arange(nb) / nb)
274 result=np.fft.fft(signal)
284 signal = np.cos(2 * np.pi * np.arange(nb) / nb)
287 result=np.fft.fft(signal)
299 signal = np.cos(2 * np.pi * np.arange(nb) / nb)
311 state=np.zeros(2*nb)
317 signal = np.cos(2 * np.pi * np.arange(nb) / nb)
326 state=np.zeros(2*nb)
333 plot(np.absolute(signal))
334 t = np.arange(nb)
335 freq = np.fft.fftfreq(t.shape[-1])
336 resultmag=np.absolute(result)
340 cmsigmag=np.absolute(resultI)
346 state=np.zeros(numStages*4)