এসসিপি

from scipy import signal

data = [1, 2, 3, 4]
kernel = [1, 0, -1]

result = signal.convolve(data, kernel)

print(result)

from scipy import signal

data = [1, 2, 3, 4, 5]
pattern = [1, 2, 1]

result = signal.correlate(data, pattern)

print(result)

from scipy import signal

data = [1, 2, 3, 4]
kernel = [2, 1, 2]

result = signal.fftconvolve(data, kernel)

print(result)

from scipy import signal

data = [1, 3, 2, 5, 4, 6, 3]

result, properties = signal.find_peaks(
    data,
    height=4
)

print(result)
print(properties)

from scipy import signal

data = [1, 3, 2, 5, 2, 4, 1]

peaks, _ = signal.find_peaks(data)

result = signal.peak_prominences(
    data,
    peaks
)

print(result)

from scipy import signal

data = [1, 3, 2, 5, 2, 4, 1]

peaks, _ = signal.find_peaks(data)

result = signal.peak_widths(
    data,
    peaks
)

print(result)

from scipy import signal

b, a = signal.butter(
    3,
    0.2
)

print(b)
print(a)

from scipy import signal

b, a = signal.cheby1(
    3,
    1,
    0.2
)

print(b)
print(a)

from scipy import signal

b, a = signal.cheby2(
    3,
    20,
    0.2
)

print(b)
print(a)

from scipy import signal

b, a = signal.ellip(
    3,
    1,
    20,
    0.2
)

print(b)
print(a)

from scipy import signal

b, a = signal.bessel(
    3,
    0.2
)

print(b)
print(a)

from scipy import signal

data = [1, 2, 4, 3, 5, 7, 6, 8]

sos = signal.butter(
    3,
    0.3,
    output="sos"
)

result = signal.sosfilt(
    sos,
    data
)

print(result)

from scipy import signal

data = [1, 2, 4, 3, 5, 7, 6, 8]

b, a = signal.butter(
    2,
    0.3
)

result = signal.lfilter(
    b,
    a,
    data
)

print(result)

from scipy import signal

data = [1, 2, 3, 2, 1, 0, -1]

result = signal.hilbert(data)

print(result)

from scipy import signal

data = [1, 2, 3, 4, 5, 6]

result = signal.resample(
    data,
    10
)

print(result)

from scipy import signal

data = [1, 2, 3, 4, 5, 6]

result = signal.resample_poly(
    data,
    3,
    2
)

print(result)

from scipy import signal

data = [1, 2, 3, 2, 1, 2, 3, 2]

frequencies, power = signal.periodogram(
    data
)

print(frequencies)
print(power)