Noise spectrum equalizer utilizing spectrum inversion

Claim 3

inverting said bounded power spectrum samples;

Claim 4

inverting said bounded power spectrum samples;

Claim 7

forming a sum of adjacent N, a predetermined number, of said inverted spectrum samples at frequencies immediately below a selected spectrum sample, with adjacent N-1 of said inverted spectrum samples at frequencies immediately above said selected spectrum sample, and with said inverted spectrum sample of said selected spectrum sample;

Claim 8

forming a sum of adjacent N, a predetermined number, of said inverted spectrum samples at frequencies immediately below a selected spectrum sample, with adjacent N-1 of said inverted spectrum samples at frequencies immediately above said selected spectrum sample, and with said inverted spectrum sample of said selected spectrum sample;

Claim 9

The method defined in claim 2 wherein the step of obtaining a neighborhood-mean equalizing signal further comprises the steps of: developing a sum of said predetermined number of said inverted spectrum samples; and dividing said sum by the number of said inverted spectrum samples included in said sum.

Claim 10

The method defined in claim 3 wherein the step of inverting each of said applied power spectrum samples further comprises the steps of: imposing a lower bound on each of said applied power spectrum samples; and inverting each of said applied power spectrum samples.

Claim 11

dividing said sum by 2N;

Claim 12

dividing said sum by 2N;

Claim 15

multiplying said divided sum by the amplitude of said selected spectrum sample, thereby obtaining an equalized spectrum sample of said selected spectrum sample;

Claim 16

multiplying said divided sum by the amplitude of said selected spectrum sample, thereby obtaining an equalized spectrum sample of said selected spectrum sample;

Claim 17

Apparatus for noise spectrum equalization of applied spectrum samples comprising: means responsive to said applied spectrum samples for providing an inverse function of each of said applied spectrum samples; means responsive to said inverted spectrum samples for developing neighborhood-mean equalizing signals associated with each of said applied spectrum samples; and means responsive to said applied spectrum samples and to said associated neighborhood-mean equalizing signals for generating a product of each of said spectrum samples and said associated neighborhood-mean signals, thereby obtaining equalized spectrum samples.

Claim 18

Apparatus for noise spectrum equalization of applied spectrum samples comprising: means responsive to said applied spectrum samples for providing an inverse function of each of said applied spectrum samples; means responsive to said inverted spectrum samples for developing neighborhood-mean equalizing signals associated with each of said applied spectrum samples; and means responsive to said applied spectrum samples and to said associated neighborhood-mean equalizing signals for generating a product of each of said spectrum samples and said associated neighborhood-mean signals, thereby obtaining equalized spectrum samples.

Claim 19

subtracting from said sum the spectrum sample of lowest frequency included in said sum and adding to said sum the spectrum sample adjacent to and higher than the highest frequency sample included in the sum;

Claim 20

subtracting from said sum the spectrum sample of lowest frequency included in said sum and adding to said sum the spectrum sample adjacent to and higher than the highest frequency sample included in the sum;

Claim 21

The apparatus defined in claim 6 wherein said inverse means exhibits a transfer characteristic of the form f A x where x is the amplitude of said applied spectrum samples, A is a constant, and f is the inverse means output signal.

Claim 22

selecting a new spectrum sample, adjacent to and at a higher frequency than said selected spectrum sample, to be equalized; and

Claim 23

selecting a new spectrum sample, adjacent to and at a higher frequency than said selected spectrum sample, to be equalized; and

Claim 24

repeating steps (3) through (7) thereby successively equalizing higher frequency selected spectrum samples until the highest frequency spectrum sample to be equalized is processed.

Claim 25

repeating steps (3) through (7) thereby successively equalizing higher frequency selected spectrum samples until the highest frequency spectrum sample to be equalized is processed.

Claim 26

The apparatus defined in claim 6 wherein said inverse means further comprises: means for applying a lower bound on the amplitude of said applied spectrum samples to develop bounded spectrum samples; and inverter means, responsive to said bounded spectrum samples for providing a linear inverse of said bounded spectrum samples.

Claim 27

Apparatus for noise spectrum equalization of applied spectrum samples comprising: inverse means responsive to said applied spectrum samples for placing a lower bound on said applied spectrum samples and for providing a linear inverse of each of said applied spectrum samples, thereby developing bounded inverted spectrum samples; AVERAGER responsive to said bounded inverted spectrum samples for providing neighborhood-mean equalizing signals by computing the average amplitude of said bounded inverted spectrum samples within a preselected width frequency window associated with and centered about each of said applied spectrum samples; and divider responsive to said applied spectrum samples and to said associated neighborhood-mean equalizing signals for generating a quotient of said associated neighborhood-mean equalizing signals and each of said bounded inverted spectrum samples, thereby obtaining equalized spectrum samples.

Claim 28

Apparatus for noise spectrum equalization of applied spectrum samples comprising: inverse means responsive to said applied spectrum samples for placing a lower bound on said applied spectrum samples and for providing a linear inverse of each of said applied spectrum samples, thereby developing bounded inverted spectrum samples; AVERAGER responsive to said bounded inverted spectrum samples for providing neighborhood-mean equalizing signals by computing the average amplitude of said bounded inverted spectrum samples within a preselected width frequency window associated with and centered about each of said applied spectrum samples; and divider responsive to said applied spectrum samples and to said associated neighborhood-mean equalizing signals for generating a quotient of said associated neighborhood-mean equalizing signals and each of said bounded inverted spectrum samples, thereby obtaining equalized spectrum samples.

Claim 29

Apparatus for noise spectrum equalization of applied spectrum samples comprising: bounding means responsive to said applied spectrum samples for applying a lower bound on said applied spectrum samples; inverse means responsive to the output of said bounding means for providing an inverse of each of said bounded spectrum samples thereby generating inverted spectrum samples; averager responsive to said inverted spectrum samples for providing neighborhood-mean signals of said inverted spectrum samples within a frequency window of 2N samples about each of said applied spectrum samples; delay means responsive to said applied spectrum samples for storing and delaying said applied spectrum samples for a time interval corresponding to the application of N of said applied spectrum samples; and multiplier responsive to said delayed spectrum samples and to said neighborhood-mean signals for generating a product of said delayed spectrum samples and said neighborhood-mean signals, thereby generating equalized spectrum samples.

Claim 30

Apparatus for noise spectrum equalization of applied spectrum samples comprising: bounding means responsive to said applied spectrum samples for applying a lower bound on said applied spectrum samples; inverse means responsive to the output of said bounding means for providing an inverse of each of said bounded spectrum samples thereby generating inverted spectrum samples; averager responsive to said inverted spectrum samples for providing neighborhood-mean signals of said inverted spectrum samples within a frequency window of 2N samples about each of said applied spectrum samples; delay means responsive to said applied spectrum samples for storing and delaying said applied spectrum samples for a time interval corresponding to the application of N of said applied spectrum samples; and multiplier responsive to said delayed spectrum samples and to said neighborhood-mean signals for generating a product of said delayed spectrum samples and said neighborhood-mean signals, thereby generating equalized spectrum samples.