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functioning examples

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Matthew 2025-03-23 20:41:17 -04:00
parent e746d7491b
commit 1f93e8bc1e
5 changed files with 102 additions and 30 deletions
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49
sound_profile.py
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@ -4,37 +4,55 @@ import random
import acoustics.decibel as db
freq_upper = 10000 #size of the frequency spectrum we want to investigate
freq_div = 10
freq_upper = 1000 #size of the frequency spectrum we want to investigate
#freq_div = 10
#freq_bin = freq_upper/freq_div
x = np.array(range(freq_upper)) #initialize frequencies (x-axis)
bkgd = np.zeros(freq_upper)
source = np.zeros(freq_upper)
fav_received = np.zeros(freq_upper)
fav_source = np.zeros(freq_upper)
for i in range(len(bkgd)):
bkgd[i] = np.log((x[i]+1)/freq_div) #input model for background here. each freq is assigned an SNR
bkgd[i] = -.003*x[i]-60 #input model for background here. each freq is assigned an SNR
bkgd[i] = 10**(bkgd[i]/20)
tonals = [20,40,100,500, 800] #build our threat object here
widths = [2,2,2,2,2] #how diffuse is each tonal
decr = [.5,.5,.5,.95,.98] #sound decrement from ambient
decr = [.8,.8,.8,.90,.90] #sound decrement from ambient
for i in range(len(source)):
source[i] = random.randint(0,10)/200
#for i in range(len(source)):
# source[i] = random.randint(0,10)/200
for tone,wide,loud in zip(tonals, widths, decr): #right now the source is based on bkgd
for tone,wide,loud in zip(tonals, widths, decr): #right now the source is based on bkgd
freq = tone - wide//2 #strength, but we will need to just
while freq < tone + wide//2: #assign values
source[freq] = bkgd[freq]*(1-loud) #
source[freq] = bkgd[i]*(1-loud) #
freq += 1 #
received = db.dbadd(bkgd, source)
received = bkgd + source
for i in range(freq_upper):
received[i] = 20*np.log10(received[i])
for i in range(freq_upper):
source[i] = 20*np.log10(source[i])
for i in range(freq_upper-1):
fav_received[i] = abs((received[i]-received[i+1])**3)
for i in range(freq_upper):
source[i] = db.dbsub(received[i],bkgd[i]/2)
for i in range(freq_upper-1):
fav_source[i] = abs((source[i]-source[i+1])**3)
plt.plot(x/freq_div,received, label = "Legacy")
plt.plot(x/freq_div,source, label = "Distilled")
plt.plot(x, received, label = "Legacy")
plt.plot(x, source, label = "Distilled")
plt.xlabel("freq (Hz)")
plt.ylabel("SNR")
plt.title("Concept")
@ -42,7 +60,10 @@ plt.title("Concept")
plt.legend()
plt.show()
"""plt.plot(x, fav_received, label = "Traces")
plt.plot(x, fav_source+1, label = "Distilled Traces")
plt.legend()
plt.show()
"""