sigwin.blackman Class
Namespace: sigwin
Construct Blackman window object
Description
Note
The use of sigwin.blackman is not recommended.
Use blackman instead.
sigwin.blackman creates a handle to a Blackman
window object for use in spectral analysis and FIR filtering by the
window method. Object methods enable workspace import and ASCII file
export of the window values.
The following equation defines the Blackman window of length N:
where M is N/2 for N even
and (N+1)/2 for N odd.
In the symmetric case, the second half of the Blackman window is obtained by flipping the first half around the midpoint. The symmetric option is the preferred method when using a Blackman window in FIR filter design.
The periodic Blackman window is constructed by extending the
desired window length by one sample to N+1,
constructing a symmetric window, and removing the last sample. The
periodic version is the preferred method when using a Blackman window
in spectral analysis because the discrete Fourier transform assumes
periodic extension of the input vector.
Construction
H = sigwin.blackman returns a Blackman
window object H of length 64 with symmetric sampling.
H = sigwin.blackman( returns
a Blackman window object Length)H of length Length with
symmetric sampling. Length requires a positive
integer. Entering a positive noninteger value for Length rounds
the length to the nearest integer. Entering a 1 for Length results
in a window with a single value of 1.
H = sigwin.blackman( returns
a Blackman window object Length,SamplingFlag)H with sampling Sampling_Flag.
The Sampling_Flag can be either 'symmetric' or 'periodic'.
Properties
| Blackman window length. Must be a positive integer. Entering
a positive noninteger value for |
|
|
Methods
| generate | Generates Blackman window |
| info | Display information about Blackman window object |
| winwrite | Save Blackman window in ASCII file |
Copy Semantics
Handle. To learn how this affects your use of the class, see Copying Objects in the MATLAB® Programming Fundamentals documentation.
Examples
References
Oppenheim, Alan V., and Ronald W. Schafer. Discrete-Time Signal Processing. Upper Saddle River, NJ: Prentice Hall, 1989.
