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Miceuz · May 7, 2013 · eab8a08 · eab8a08
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diff --git a/Resistor_Horizontal_RM30mm.kicad_mod b/Resistor_Horizontal_RM30mm.kicad_mod
@@ -0,0 +1,24 @@
+(module Resistor_Horizontal_RM30mm (layer F.Cu)
+  (at 0 0)
+  (descr "Resistor, Axial, RM 30mm,")
+  (tags "Resistor, Axial, RM 30mm,")
+  (path /511F812E)
+  (fp_text reference R5 (at 40.005 3.175) (layer F.SilkS)
+    (effects (font (size 1.00076 1.00076) (thickness 0.14986)))
+  )
+  (fp_text value "8.2k 5W" (at 13.97 8.89) (layer F.SilkS) hide
+    (effects (font (size 1.50114 1.50114) (thickness 0.20066)))
+  )
+  (fp_line (start 3.556 0) (end 1.524 0) (layer F.SilkS) (width 0.381))
+  (fp_line (start 36.92398 0) (end 38.44798 0) (layer F.SilkS) (width 0.381))
+  (fp_line (start 3.81 -3.5) (end 36.66998 -3.5) (layer F.SilkS) (width 0.381))
+  (fp_line (start 36.66998 -3.5) (end 36.66998 3.5) (layer F.SilkS) (width 0.381))
+  (fp_line (start 36.66998 3.5) (end 3.81 3.5) (layer F.SilkS) (width 0.381))
+  (fp_line (start 3.81 3.5) (end 3.81 -3.5) (layer F.SilkS) (width 0.381))
+  (pad 1 thru_hole circle (at 0 0) (size 1.99898 1.99898) (drill 1.00076)
+    (layers *.Cu *.Mask)
+  )
+  (pad 2 thru_hole circle (at 39.99992 0) (size 2.30124 2.30124) (drill 1.19888)
+    (layers *.Cu *.Mask)
+  )
+)
diff --git a/experiment1/exp1.py b/experiment1/exp1.py
@@ -0,0 +1,90 @@
+import math
+import numpy as np
+import matplotlib.pyplot as plt
+import numpy.fft as ff
+from pylab import *
+import scipy.signal as signal
+
+def magnitude(x):
+	ret = []
+	for sample in x:
+		ret.append(math.sqrt(sample.real**2 + sample.imag**2))
+	return np.array(ret)
+
+def differential(x):
+	ret = []
+	for i in range(0, x.shape[0]-1):
+		if i < x.shape[0]-1:
+			ret.append(x[i+1] - x[i])
+		else:
+			ret.append(x[i])
+	return np.array(ret)
+def mfreqz(b,a=1):
+    w,h = signal.freqz(b,a)
+    h_dB = 20 * log10 (abs(h))
+    subplot(211)
+    plot(w/max(w),h_dB)
+    ylim(-150, 5)
+    ylabel('Magnitude (db)')
+    xlabel(r'Normalized Frequency (x$\pi$rad/sample)')
+    title(r'Frequency response')
+    subplot(212)
+    h_Phase = unwrap(arctan2(imag(h),real(h)))
+    plot(w/max(w),h_Phase)
+    ylabel('Phase (radians)')
+    xlabel(r'Normalized Frequency (x$\pi$rad/sample)')
+    title(r'Phase response')
+    subplots_adjust(hspace=0.5)
+
+#Plot step and impulse response
+def impz(b,a=1):
+    l = len(b)
+    impulse = repeat(0.,l); impulse[0] =1.
+    x = arange(0,l)
+    response = signal.lfilter(b,a,impulse)
+    subplot(211)
+    stem(x, response)
+    ylabel('Amplitude')
+    xlabel(r'n (samples)')
+    title(r'Impulse response')
+    subplot(212)
+    step = cumsum(response)
+    stem(x, step)
+    ylabel('Amplitude')
+    xlabel(r'n (samples)')
+    title(r'Step response')
+    subplots_adjust(hspace=0.5)
+
+
+y = np.loadtxt("step-response-linear2.csv")
+y = hstack((np.ones(100)*23.50, y))
+y = y - min(y)
+n = 13
+a = signal.firwin(n, cutoff = 0.037, window = "hamming")
+
+#plt.plot(range(0, (y.shape[0])), y)
+
+yfiltered = signal.lfilter(a, 1, y)[n:]
+irfiltered = differential(yfiltered)
+ir = differential(y)[n:]
+
+plt.plot(range(0, (ir.shape[0])), ir, c="grey")
+plt.plot(range(0, (irfiltered.shape[0])), irfiltered, c="red", linewidth=2)
+
+irfiltered = np.hstack((np.zeros(1000), irfiltered, np.zeros(1000)))
+ir = np.hstack((np.zeros(10000), ir, np.zeros(10000)))
+#plt.plot(range(0, (ir.shape[0])/2+1), magnitude(ff.rfft(ir)))
+
+H = abs(ff.rfft(irfiltered))[0:]
+H = H/H.shape[0]
+#plt.plot(range(0, H.shape[0]), H)
+
+
+#plt.plot(np.array(range(0, irfiltered.shape[0] / 2 + 1), float) / (irfiltered.shape[0] / 2 + 1) * 0.5, magnitude(ff.rfft(irfiltered)))
+
+#plt.plot(range(0, (y.shape[0])), y)
+#plt.plot(range(0, (y.shape[0]-10)), signal.lfilter(a, 1, y)[10:])
+#plt.plot(range(0, (a.shape[0])/2+1), magnitude(ff.rfft(a)))
+#mfreqz(irfiltered)
+
+plt.show()
diff --git a/experiment1/impulse-response-linear.png b/experiment1/impulse-response-linear.png
diff --git a/experiment1/step-response-accel10.csv b/experiment1/step-response-accel10.csv
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