| |
- Gamma0_2_Gamma_in = reflection_coefficient_at_theta(Gamma0, theta)
- reflection coefficient at electrical length theta
takes:
Gamma0: reflection coefficient at theta=0
theta: electrical length, (may be complex)
returns:
Gamma_in
note:
= Gamma0 * exp(-2j* theta)
- Gamma0_2_zin = reflection_coefficient_2_input_impedance_at_theta(z0, Gamma0, theta)
- calculates the input impedance at electrical length theta, given a
reflection coefficient and characterisitc impedance of the medium
takes:
z0 - characteristic impedance.
Gamma: reflection coefficient
theta: electrical length of the line, (may be complex)
returns
zin: input impedance at theta
- Gamma0_2_zl = reflection_coefficient_2_input_impedance(z0, Gamma)
- calculates the input impedance given a reflection coefficient and
characterisitc impedance of the medium
takes:
Gamma: reflection coefficient
z0 - characteristic impedance.
- array(...)
- array(object, dtype=None, copy=True, order=None, subok=False, ndmin=True)
Create an array.
Parameters
----------
object : array_like
An array, any object exposing the array interface, an
object whose __array__ method returns an array, or any
(nested) sequence.
dtype : data-type, optional
The desired data-type for the array. If not given, then
the type will be determined as the minimum type required
to hold the objects in the sequence. This argument can only
be used to 'upcast' the array. For downcasting, use the
.astype(t) method.
copy : bool, optional
If true (default), then the object is copied. Otherwise, a copy
will only be made if __array__ returns a copy, if obj is a
nested sequence, or if a copy is needed to satisfy any of the other
requirements (`dtype`, `order`, etc.).
order : {'C', 'F', 'A'}, optional
Specify the order of the array. If order is 'C' (default), then the
array will be in C-contiguous order (last-index varies the
fastest). If order is 'F', then the returned array
will be in Fortran-contiguous order (first-index varies the
fastest). If order is 'A', then the returned array may
be in any order (either C-, Fortran-contiguous, or even
discontiguous).
subok : bool, optional
If True, then sub-classes will be passed-through, otherwise
the returned array will be forced to be a base-class array (default).
ndmin : int, optional
Specifies the minimum number of dimensions that the resulting
array should have. Ones will be pre-pended to the shape as
needed to meet this requirement.
Examples
--------
>>> np.array([1, 2, 3])
array([1, 2, 3])
Upcasting:
>>> np.array([1, 2, 3.0])
array([ 1., 2., 3.])
More than one dimension:
>>> np.array([[1, 2], [3, 4]])
array([[1, 2],
[3, 4]])
Minimum dimensions 2:
>>> np.array([1, 2, 3], ndmin=2)
array([[1, 2, 3]])
Type provided:
>>> np.array([1, 2, 3], dtype=complex)
array([ 1.+0.j, 2.+0.j, 3.+0.j])
Data-type consisting of more than one element:
>>> x = np.array([(1,2),(3,4)],dtype=[('a','<i4'),('b','<i4')])
>>> x['a']
array([1, 3])
Creating an array from sub-classes:
>>> np.array(np.mat('1 2; 3 4'))
array([[1, 2],
[3, 4]])
>>> np.array(np.mat('1 2; 3 4'), subok=True)
matrix([[1, 2],
[3, 4]])
- electrical_length(gamma, f, d, deg=False)
- calculates the electrical length of a section of transmission line.
takes:
gamma: propagation constant function , (a function which
takes frequency in [hz])
l: length of line. in meters
f: frequency at which to calculate. array-like or float. if
left as None and self.fBand exists, it will use that.
deg: return in degrees or not. boolean.
returns:
theta: electrical length in radians or degrees,
depending on value of deg.
- input_impedance_2_reflection_coefficient(z0, zl)
- calculates the reflection coefficient for a given input impedance
takes:
zl: input (load) impedance.
z0 - characteristic impedance.
- input_impedance_2_reflection_coefficient_at_theta(z0, zl, theta)
- input_impedance_at_theta(z0, zl, theta)
- input impedance of load impedance zl at electrical length theta,
given characteristic impedance z0.
takes:
z0 - characteristic impedance.
zl: load impedance
theta: electrical length of the line, (may be complex)
- reflection_coefficient_2_input_impedance(z0, Gamma)
- calculates the input impedance given a reflection coefficient and
characterisitc impedance of the medium
takes:
Gamma: reflection coefficient
z0 - characteristic impedance.
- reflection_coefficient_2_input_impedance_at_theta(z0, Gamma0, theta)
- calculates the input impedance at electrical length theta, given a
reflection coefficient and characterisitc impedance of the medium
takes:
z0 - characteristic impedance.
Gamma: reflection coefficient
theta: electrical length of the line, (may be complex)
returns
zin: input impedance at theta
- reflection_coefficient_at_theta(Gamma0, theta)
- reflection coefficient at electrical length theta
takes:
Gamma0: reflection coefficient at theta=0
theta: electrical length, (may be complex)
returns:
Gamma_in
note:
= Gamma0 * exp(-2j* theta)
- theta = electrical_length(gamma, f, d, deg=False)
- calculates the electrical length of a section of transmission line.
takes:
gamma: propagation constant function , (a function which
takes frequency in [hz])
l: length of line. in meters
f: frequency at which to calculate. array-like or float. if
left as None and self.fBand exists, it will use that.
deg: return in degrees or not. boolean.
returns:
theta: electrical length in radians or degrees,
depending on value of deg.
- zeros(...)
- zeros(shape, dtype=float, order='C')
Return a new array of given shape and type, filled with zeros.
Parameters
----------
shape : {tuple of ints, int}
Shape of the new array, e.g., ``(2, 3)`` or ``2``.
dtype : data-type, optional
The desired data-type for the array, e.g., `numpy.int8`. Default is
`numpy.float64`.
order : {'C', 'F'}, optional
Whether to store multidimensional data in C- or Fortran-contiguous
(row- or column-wise) order in memory.
Returns
-------
out : ndarray
Array of zeros with the given shape, dtype, and order.
See Also
--------
numpy.zeros_like : Return an array of zeros with shape and type of input.
numpy.ones_like : Return an array of ones with shape and type of input.
numpy.empty_like : Return an empty array with shape and type of input.
numpy.ones : Return a new array setting values to one.
numpy.empty : Return a new uninitialized array.
Examples
--------
>>> np.zeros(5)
array([ 0., 0., 0., 0., 0.])
>>> np.zeros((5,), dtype=numpy.int)
array([0, 0, 0, 0, 0])
>>> np.zeros((2, 1))
array([[ 0.],
[ 0.]])
>>> s = (2,2)
>>> np.zeros(s)
array([[ 0., 0.],
[ 0., 0.]])
>>> np.zeros((2,), dtype=[('x', 'i4'), ('y', 'i4')])
array([(0, 0), (0, 0)],
dtype=[('x', '<i4'), ('y', '<i4')])
- zl_2_Gamma0 = input_impedance_2_reflection_coefficient(z0, zl)
- calculates the reflection coefficient for a given input impedance
takes:
zl: input (load) impedance.
z0 - characteristic impedance.
- zl_2_Gamma_in = input_impedance_2_reflection_coefficient_at_theta(z0, zl, theta)
- zl_2_zin = input_impedance_at_theta(z0, zl, theta)
- input impedance of load impedance zl at electrical length theta,
given characteristic impedance z0.
takes:
z0 - characteristic impedance.
zl: load impedance
theta: electrical length of the line, (may be complex)
|