144 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]])  variable
146 print(a+b)
150 v=dsp.arm_mat_add_f32(a,b)
155 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]])  variable
157 print(np.dot(a , b))
158 v=dsp.arm_mat_mult_f32(a,b)
161 def imToReal2D(a):  argument
162     ar=np.zeros(np.array(a.shape) * [1,2])
163     ar[::,0::2]=a.real
164     ar[::,1::2]=a.imag
170 a=np.array([[1. + 2j,3 + 4j],[5 + 6j,7 + 8j],[9 + 10j,11 + 12j]])  variable
172 print(np.dot(a , b))
175 ar = imToReal2D(a)
181 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]]) / 30.0  variable
183 print(a+b)
185 aQ31=toQ31(a)
192 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]])  variable
193 print(np.transpose(a))
194 print(dsp.arm_mat_trans_f32(a))
196 a = np.array([[1., 2.], [3., 4.]])  variable
197 print(np.linalg.inv(a))
198 print(dsp.arm_mat_inverse_f32(a))
200 a = np.array([[1., 2.], [3., 4.]])  variable
201 print(np.linalg.inv(a))
202 print(dsp.arm_mat_inverse_f64(a))
204 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]])  variable
205 print(2.5*a)
206 print(dsp.arm_mat_scale_f32(a,2.5))
208 a=np.array([1.,2,3,4,5,6,7,8,9,10,11,12])  variable
209 print(np.max(a))
210 print(np.argmax(a))
211 print(dsp.arm_max_f32(a))
213 print(np.mean(a))
214 print(dsp.arm_mean_f32(a))
216 print(np.dot(a,a))
217 print(dsp.arm_power_f32(a))
220 def imToReal1D(a):  argument
221     ar=np.zeros(np.array(a.shape) * 2)
222     ar[0::2]=a.real
223     ar[1::2]=a.imag