.Draw the following sine wave in the time domain, showing amplitude and phase:
1 answer:
Answer with Explanation:
Part 1)
The given sine wave is as
The graphical representation of the wave is shown in the attached figure:
Part 2)
For a general wave equation
'A' is defined as amplitude of the wave
is defined as phase of the wave
Upon comparing with the given wave function we observe
1) Amplitude of the given wave is 3
2) Phase of the given wave
You might be interested in
Answer:
Code
import csv
def open_file():
try:
fname=input("Enter the filename to open (xxx.yyy): ")
fp=open(fname,encoding='utf-8')
return fp
except FileNotFoundError:
print("File not found! Please Enter correct filename with extension")
return open_file()
def read_file(fp):
fields = []
rows = []
csvreader = list(csv.reader(fp))
# skiped 1 row because it contains field name
fields = csvreader[0]
D1={}
D2={}
D3={}
# accessing the data of csv file
for line in csvreader[1:]:
name = line[0].lower().strip()
platform = line[1].lower().strip()
if line[2]!='N/A':
year = int(line[2])
else:
year=line[2]
genre = line[3].lower().strip()
publisher = line[4].lower().strip()
na_sales = float(line[5])
eur_sales = float(line[6])
jpn_sales = float(line[7])
other_sales = float(line[8])
global_sales=(na_sales+eur_sales+jpn_sales+other_sales)*1000000
if name not in D1:
D1[name]=[]
D1[name].append((name, platform, year, genre, publisher,global_sales))
if genre not in D2:
D2[genre]=[]
D2[genre].append((genre, year, na_sales, eur_sales,jpn_sales, other_sales, global_sales))
if publisher not in D3:
D3[publisher]=[]
D3[publisher].append((publisher, name, year, na_sales,eur_sales, jpn_sales, other_sales, global_sales))
# sorting
temp={}
# sorting keys
for Keys in sorted (D1) :
ls=D1[Keys]
ls=sorted(ls,key=lambda x: x[-1]) # sorting values
temp[Keys]=ls
D1=temp.copy()
temp={}
# sorting keys
for Keys in sorted (D2) :
ls=D2[Keys]
ls=sorted(ls,key=lambda x: x[-1]) # sorting values
temp[Keys]=ls
D2=temp.copy()
temp={}
# sorting keys
for Keys in sorted (D3) :
ls=D3[Keys]
ls=sorted(ls,key=lambda x: x[-1]) # sorting values
temp[Keys]=ls
D3=temp.copy()
return D1,D2,D3
def main():
fp=open_file()
D1,D2,D3=read_file(fp)
# displaying the row_count in dictionaries
cnt=0
for d in D1:
cnt+=1
print(cnt)
print("\n\n=============================================\n\n")
cnt=0
for d in D2:
cnt+=1
print(cnt)
print("\n\n=============================================\n\n")
cnt=0
for d in D3:
cnt+=1
print(cnt)
print("\n\n=============================================\n\n")
if __name__=="__main__":
main()
Explanation:
see code and see output attached
