NOTE: This is a hosting of the works of A.J. Fisher who died on February 29 2000.
Source can be found at https://github.com/university-of-york/cs-www-users-fisher

If you would like this to be taken down, please contact me at johan@anteeo.se

Hilbert Transformers


Introduction

To be written

Design

To be written


We need to know the sample rate (in samples per second).
Sample rate:

Enter the length of the finite-impulse response, in samples. The larger the value, the more accurate the filter, but the slower its execution.
Impulse length:

If you are going to execute the generated filter on a fixed-point processor, you will want to know how the filter behaves when the coefficents are truncated to n bits. To find out, enter the value of n in the box. (If you are not interested in this feature, leave the field blank. For more information, click here.)
Truncate coefficients to bits

By default, the frequency response graph has a linear magnitude scale. If that is what you want, leave the following box blank. If you want a logarithmic magnitude scale in dB, enter the lower limit of the magnitude scale in dB here (e.g. -80).
Lower limit (dB), or blank for linear scale:

Submit form:

Reset form:


Tony Fisher / fisher@minster.york.ac.uk