Abstract: A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Abstract: A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Abstract: A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Abstract: A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Abstract: A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Abstract: A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Abstract: A method of correcting an infrared image is provided. The method includes receiving an image from a camera comprising a first pixel with a first pixel value and a neighbor pixel with a neighbor pixel value. The first pixel and the neighbor pixel can be assumed to view the same object. The method further includes storing the first and neighbor pixel values in an image table, generating a corrected image table by adding the first pixel value to a corrected pixel value in a correction table, determining that the camera is not moving, and masking edges in the corrected image table. The method further includes updating the correction table by: determining that the first pixel value and neighbor pixel value are not edges, computing the difference between the first and neighbor pixel values, and storing the difference in the correction table. The method further includes providing an output image table.

Abstract: A method of correcting an infrared image is provided. The method includes receiving an image from a camera comprising a first pixel with a first pixel value and a neighbor pixel with a neighbor pixel value. The first pixel and the neighbor pixel can be assumed to view the same object. The method further includes storing the first and neighbor pixel values in an image table, generating a corrected image table by adding the first pixel value to a corrected pixel value in a correction table, determining that the camera is not moving, and masking edges in the corrected image table. The method further includes updating the correction table by: determining that the first pixel value and neighbor pixel value are not edges, computing the difference between the first and neighbor pixel values, and storing the difference in the correction table. The method further includes providing an output image table.

Abstract: A system for estimating a location of the source of a projectile includes a radar system for transmitting a wave and detecting and providing an indication of a wave reflection from the projectile, an acoustic detection system for detecting and providing an indication of at least one sound associated with the projectile, and circuitry for estimating the location in response to the indication of a wave reflection and the indication of at least one sound.

Abstract: Systems and methods for determining coefficients of an Finite Impulse Response (FIR) filter are disclosed. The FIR filter coefficients are computed by determining a sine of an input value and an inverse of the input value. The sine of the input signal and the inverse of the input signal are multiplied together to form a sinc value of the input value. The sinc value is employed to determine the coefficient. The system and method can be repeated to compute any number of FIR filter coefficients in real-time. The sine of the input signal is computed utilizing a memory lookup table. The memory lookup table includes pairs of uniformly distributed values for the sine and cosine functions in the range of 0 to ?. The inverse of the input value is computed using an inverse memory lookup table, a most significant digit and a remainder. The coefficient is then computed from a product of the sine of the input signal and the inverse of the input signal.

Abstract: An electronic dB-to-linear gain conversion system (10). The system comprises an input (12) for receiving a gain index signal (GI) representing a desired dB value. The desired dB value is selected from a set having an integer number S of dB values. The system also comprises a storage circuit (16) for storing an integer number V of linear gain values and circuitry for producing a linear gain signal (LG) in response to the gain index signal and to one of the V linear gain values. In the preferred embodiment, V is less than S.

Abstract: A system (10) for providing an integer number N of filters. The system comprises an input (Di) for receiving a digital audio signal and an output (Do) for providing a filtered audio signal. The system also comprises circuitry (16) for storing at least a first set of fixed filter coefficients and circuitry for storing estimation data. The system also comprises circuitry (14) for estimating a number of sets of estimated filter coefficients in response to the estimation data and the fixed filter coefficients. The system also comprises circuitry (14) for applying a transfer function to the digital audio signal and in response for providing the filtered audio signal. The circuitry for applying the transfer function applies a set of filter coefficients selected from the first set of fixed filter coefficients and the sets of estimated filter coefficients. Also, the transfer function is selected from a transfer function set consisting of a high pass filter transfer function and a low pass filter transfer function.

Abstract: A digital signal system (30) for determining an approximate logarithm of a value of x having a base b is described. The system comprises circuitry for storing x as a digital representation, identifying a most significant digit (MSD) of the digital representation, a table for storing a set of predetermined logarithms having the base b, circuitry for addressing the table in response to a first bit group (t) of the set of bits in respective lesser significant bit locations and for outputting a one of the predetermined logarithms corresponding to a first number (la) in the set of numbers, and circuitry for outputting the approximate logarithm of the value of x in response to the one of the predetermined logarithms and in response to a function estimation between logarithms at a first and second endpoint.

Abstract: A digital signal system (50) determines an approximate antilog x from a value of ƒ(x), where x has a base b.

Abstract: A self-adaptive graphic equalizer operable to equalize the affects of an audio system on an audio signal includes an adaptive graphic equalizer having a plurality of equalizing filters, where the plurality of equalizing filters have different center frequencies equidistant from one another and spanning a predetermined audio bandwidth. Each equalizing filter is operable to filter an ith sub-band of the audio signal. A plurality of first filters are coupled to the audio system, each first filter is operable to filter an ith sub-band of an output signal of the audio system. A plurality of second filters are operable to filter an ith sub-band of the audio signal. A gain adjuster is operable to adjust the ith sub-band of the adaptive graphic equalizer in response to a difference in the ith sub-band of the filtered output signal from the plurality of first filters and the ith sub-band of the filtered audio signal from the plurality of second filters.

Abstract: An audio loudness compensation system includes a level sensor receiving an audio input signal and operable to estimate a level of the audio input signal over a first predetermined time period, and a level mapper receiving the estimated level and operable to map the estimated level to a raw audio gain in response to a slope setting and an offset setting. The system further includes an attack and decay filter receiving the raw audio gain and operable to smooth out increasing and decreasing changes in the raw audio gain in response to a second and, possibly a third predetermined time period, and a compensation filter receiving the smoothed raw audio gain and operable to modify the audio input signal in response to the smoothed raw audio gain, a center frequency setting and a bandwidth setting, and generate a loudness compensated audio output signal.

Abstract: A graphametric equalizer has graphic and parametric equalization capabilities within a single non-redundant system. A translation function capability converts user selected inputs for center frequency, bandwidth and gain into allpass filter parameters to realize an allpass filter-based equalization filter structure capable of performing graphic and/or parametric equalization on-the-fly. The graphametric equalizer has a softening function capability to time user inputs and increment filter parameters gracefully such that the graphametric equalizer can be recharacterized with new filter parameters on-the-fly without incurring undesirable audible artifacts.

Abstract: Systems and methods for determining coefficients a filter are disclosed. The filter coefficients are computed by determining a sine of an input value and an inverse of the input value. The sine of the input signal and the inverse of the input signal are multiplied together to form a sinc value of the input value. The sinc value is employed to determine the coefficient. The system and method can be repeated to compute any number of filter coefficients in real-time. The sine of the input signal is computed utilizing a memory lookup table. The memory lookup table includes pairs of uniformly distnbuted values for the sine and cosine functions in the range of 0 to ?. The inverse of the input value is computed using an inverse memory lockup table, a most significant digit and a remainder. The coefficient is then computed from a product of the sine of the input signal and the inverse of the input signal. Thus, the coefficient is computable in real-time without the use of previously computed and stored coefficients.

Abstract: An audio compensation system (20) for producing a sound compensated output signal (So). The system comprises a volume control circuit (24) for producing a volume-adjusted signal (Sic) by applying a volume adjustment to an audio signal in response to a volume setting, wherein the sound compensated output signal is responsive to the volume-adjusted signal. The system also comprises circuitry (26, 30, 32) for producing an amplified signal (Sifa) by amplifying a selected bandwith of signals in response to the volume setting. The sound compensated output signal is also responsive to the amplified signal.

Abstract: A signal generator (10). The signal generator comprises circuitry (20) for producing at least a first input noise signal (N1), wherein the first input noise signal has a statistically insignificant autocorrelation.