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import numpy as np | |
def los_to_earth(position, pointing): | |
"""Find the intersection of a pointing vector with the Earth | |
Finds the intersection of a pointing vector u and starting point s with the WGS-84 geoid | |
Args: | |
position (np.array): length 3 array defining the starting point location(s) in meters |
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from sympy.solvers import solve | |
from sympy import symbols | |
x, y, z, u, v, w, a, b, c, d = symbols('x y z u v w a b c d') | |
solutions = solve((x + d*u)**2/a**2 + (y + d*v)**2/b**2 + (z + d*w)**2/c**2 - 1, d) | |
print(solutions[0]) | |
print(solutions[1]) |
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Fs = 10; % Sampling frequency | |
Ts = 1/Fs; % Sampling period | |
N = 32; % Total number of samples | |
n = 0:N-1; % Samples | |
t = Ts*(n); % Sampled times | |
y = cos(2*pi*t) + .2*cos(2*pi*1.5*t); % Discrete signal | |
N = length(y); % The new total number of samples | |
Y = fft(y); % The fft of the signal | |
df = 1/(N*Ts); % The frequency resolution |
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Fs = 10; % Sampling frequency | |
Ts = 1/Fs; % Sampling period | |
N = 32; % Total number of samples | |
n = 0:N-1; % Samples | |
t = Ts*(n); % Sampled times | |
y = cos(2*pi*t); % Discrete signal | |
N = length(y); % The new total number of samples | |
Y = fft(y); % The fft of the signal | |
df = 1/(N*Ts); % The frequency resolution |
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Fs = 10; % Sampling frequency | |
Ts = 1/Fs; % Sampling period | |
N = 128; % Total number of samples | |
n = 0:N-1; % Samples | |
t = Ts*(n); % Sampled times | |
fc1 = 1; % Frequency of first sinusoid | |
fc2 = 1.5; % Frequency of second sinusoid | |
y1 = cos(2*pi*fc1*t); % Discrete first sinusoid | |
y2 = cos(2*pi*fc2*t); % Discrete second sinusoid |
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Fs = 10; % Sampling frequency | |
Ts = 1/Fs; % Sampling period | |
N = 16; % Total number of samples | |
n = 0:N-1; % Samples | |
t = Ts*(n); % Sampled times | |
fc1 = 1; % Frequency of first sinusoid | |
fc2 = 1.5; % Frequency of second sinusoid | |
y1 = cos(2*pi*fc1*t); % Discrete first sinusoid | |
y2 = cos(2*pi*fc2*t); % Discrete second sinusoid |
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% The 3D function | |
z = zeros(16,32); z(2:3,2:3) = ones(2); | |
Nx = size(z,2); | |
Ny = size(z,1); | |
% Plot surface | |
figure | |
subplot(2,1,1), surf(z) | |
view(0,90), title('Unshifted Signal') | |
xlabel('x') |
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% The 2D signal | |
y = [ 1 -1 4 8 zeros(1,12)]; | |
N = length(y); | |
% Plot unshifted signal | |
figure | |
subplot(2,1,1), stem(y), title('Unshifted Signal') | |
% Frequency domain samples | |
f = 0:N-1; |
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MF = ifft(fft(yN).*fft(conj(fliplr(yref)))); | |
plot(MF,'m') | |
xlim([1,256]) | |
title('Matched Filter Output') |
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% The reference signal | |
yref = [ones(1,56),zeros(1,200)]; | |
% Initialize movie | |
v = VideoWriter('test.avi','Uncompressed AVI'); | |
v.FrameRate = 10; | |
open(v) | |
figure('Position',[100 100 850 600]) | |
MF(1) = sum(yN.*yref); | |
subplot(2,1,1), plot(yref+4,'g') |
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