我正在尝试将 Matlab 代码转换为 Python,但是当我转换以下行时它会出错:
Matlab代码
md(1,index) = (-1)^bits(m);
Python 等价物
md[index]=(-1)**bits(m)
错误
md[index]=(-1)**bits(m)
TypeError: 'numpy.ndarray' object is not callable
Matlab代码
fdel=2;
fn=10;
zeta=1/sqrt(2);
spb=100;
npts=2000;
fs=2000;
freq_in = zeros(1,2000); % initialize input frequency array
phi_in = zeros(1,2000); % initialize input phase array
t = (0:(npts-1))/fs; % generate vector of sample times
nsettle = fix(npts/10); % set settle time as 0.1*npts
tsettle = nsettle/fs; % set settle time
%
% % The following three lines of code generate the arrays of the
% % input frequency and input phase.
%
phin1 = 2*pi*fdel*(t-tsettle);
freq_in = [zeros(1,nsettle),fdel*ones(1,npts-nsettle)];
phi_in = [zeros(1,nsettle),phin1(1,(nsettle+1):npts)];
%
% % Generate the QPSK input signal and input signal.
%
nbits = npts/spb; % Determine number of bits
md = zeros(1,nbits*spb);
bits = round(rand(1,nbits));
for m=1:nbits
for n=1:spb
index = (m-1)*spb + n;
% error making line
md(1,index) = (-1)^bits(m);
end
end
Python代码
fdel=2
fn=10
zeta=1/sqrt(2)
spb=100
npts=2000
fs=2000
freq_in=zeros(2000)
phi_in=zeros(2000)
t=(arange(0,npts-1))/fs
nsettle=fix(npts/10)
tsettle=nsettle/fs
phin1=2*pi*fdel*(t-tsettle)
freq_in=array([zeros(nsettle),fdel*ones(npts-nsettle)])
phi_in=array([zeros(nsettle),phin1[nsettle+1:npts]])
nbits=npts/spb
md=zeros(nbits*spb)
bits=around(np.random.uniform((nbits,)))
for m in arange(0,nbits):
for n in arange(0,spb):
index=(m-1)*spb+n
md[index]=(-1)**bits(m)