Abstract: A method for controlling temperature of a chemical reaction without measuring a temperature of the chemical reaction. Changes in mass of a chemical reaction are monitored and are used to calculate the temperature of the system. The reaction can be maintained at a desired temperature (T) without measuring the temperature. The disclosed method is useful for reactions that occur at non-equilibrium conditions where any measured temperature would presume steady-state conditions.

Abstract: A method for controlling temperature of a chemical reaction without measuring a temperature of the chemical reaction. Changes in mass of a chemical reaction are monitored and are used to calculate the temperature of the system. The reaction can be maintained at a desired temperature (T) without measuring the temperature. The disclosed method is useful for reactions that occur at non-equilibrium conditions where any measured temperature would presume steady-state conditions.

Abstract: The subject matter disclosed pertains to a method of maintaining a healthy mass. A target nutritional consumption rate (?M) is calculated using linger thermodynamic theory. Both diet and exercise are adjusted to accommodate this target nutritional consumption rate (?M). The disclosed method minimizes metabolic strain and thereby maximizes life expectancy.

Abstract: The subject matter disclosed pertains to a computer-implemented method for determining a life insurance premium or setting a wage rate. The premium or wage rate is based on a theoretical adult lifespan (?theroy—adult) calculation that arises from universal linger thermodynamic theory.

Abstract: The subject matter disclosed pertains to a computer-implemented method for determining a life insurance premium or setting a wage rate. The premium or wage rate is based on a time compression factor (CFA) that quantifies the increased value of time as an individual ages to age (A). The compression factor is calculated according to: CF A = ? childhood + ? ? ? ? ? ( M A ? ? ? M A ) 2 - A ? ? ? ? ? ( M childhood ? ? ? M childhood ) 2 where, MA is the mass of the adult, ?MA is the nutritional consumption rate (e.g. mass of food per day), Mchildhood, ?Mchildhood are corresponding values at the end of childhood and ?? is a conversion factor for converting the product to years.

Abstract: A method, system, and apparatus are directed towards computing minimum mean squared error (MMSE) predictive-transform (PT) source coding integrated with subband compression to further improve the performance of low bit rate MMSE PT source coders. A desirable byproduct of the advanced scheme is that the incorporation of joint optimum prediction and transformation from subband to subband is ideally suited to its integration with JPEG2000 to yield even higher compression levels while producing an outstanding objective as well as subjective visual performance.

Abstract: A method, system, and apparatus are directed towards computing minimum mean squared error (MMSE) predictive-transform (PT) source coding integrated with subband compression to further improve the performance of low bit rate MMSE PT source coders.

Abstract: A method, system, and apparatus are directed towards computing minimum mean squared error (MMSE) predictive-transform (PT) source coding integrated with subband compression to further improve the performance of low bit rate MMSE PT source coders. A desirable byproduct of the advanced scheme is that the incorporation of joint optimum prediction and transformation from subband to subband is ideally suited to its integration with JPEG2000 to yield even higher compression levels while producing an outstanding objective as well as subjective visual performance.

Abstract: The time compression processor coding methodology gives rise to an exceedingly fast clutter covariance processor compressor (CCPC). The CCPC includes a look up memory containing a very small number of predicted clutter covariances (PCCs) that are suitably designed off-line (e.g., in advance) using a discrete number of clutter to noise ratios (CNRs) and shifted antenna patterns (SAPs), where the SAPs are mathematical computational artifices not physically implemented. The on-line selection of the best PCC is achieved by investigating for each case, e.g., each range bin, the actual CNR, as well as the clutter cell centroid (CCC), which conveys information about the best SAP to select. The advanced CCPC is a ‘lossy’ processor coder that inherently arises from a novel practical and theoretical foundation for signal processing, namely, processor coding, that is the time compression signal processing dual of space compression source coding.

Abstract: A method and apparatus for a simplified approach for determining the output of a total covariance signal processor. A single set of offline calculations is performed and then used to estimate the output of the total covariance signal processor. A simplified approach for performing matrix inversion may also be used in determining the output of the total covariance processor.

Abstract: A method, system, and apparatus are directed towards computing minimum mean squared error (MMSE) predictive-transform (PT) source coding integrated with subband compression to further improve the performance of low bit rate MMSE PT source coders.

Abstract: The time compression processor coding methodology gives rise to an exceedingly fast clutter covariance processor compressor (CCPC). The CCPC includes a look up memory containing a very small number of predicted clutter covariances (PCCs) that are suitably designed off-line (e.g., in advance) using a discrete number of clutter to noise ratios (CNRs) and shifted antenna patterns (SAPs), where the SAPs are mathematical computational artifices not physically implemented. The on-line selection of the best PCC is achieved by investigating for each case, e.g., each range bin, the actual CNR, as well as the clutter cell centroid (CCC), which conveys information about the best SAP to select. The advanced CCPC is a ‘lossy’ processor coder that inherently arises from a novel practical and theoretical foundation for signal processing, namely, processor coding, that is the time compression signal processing dual of space compression source coding.

Abstract: A method and apparatus for a simplified approach for determining the output of a total covariance signal processor. A single set of offline calculations is performed and then used to estimate the output of the total covariance signal processor. A simplified approach for performing matrix inversion may also be used in determining the output of the total covariance processor.

Abstract: The present invention is drawn to a method for digital image modeling in which the digital image is divided into digital image blocks. First, a coder input vector of the digital image blocks is received. Second, a coefficient vector is approximated, each coefficient or coefficient vector corresponding to one of the digital image blocks. The approximating step further comprises generating a transformation matrix that yields a coefficient vector from a product of the coder input vector and decomposing the transformation matrix into a product of multi-diagonal or sparse unitary transformation matrixes and an energy sequencer unitary transformation matrix.

Abstract: A method of compressing a digital image including the steps of dividing the image into a plurality of blocks, at least some of which blocks may be partially superimposed with other blocks, generating uncorrelated coefficient or coefficient error vectors, preferably using a minimum mean squared error (MMSE) predictive-transform (PT) coding methodology, quantizing each coefficient or coefficient error vector using scalar quantizers, preferably linear scalar quantizers, storing a coefficient or coefficient error matrix consisting of the quantized coefficient error vectors, decomposing the stored quantized coefficient or coefficient error matrix into a plurality of uncorrelated groups of quantized coefficient errors and zero-run symbols, or into uncorrelated groups of quantized coefficient errors as well as a zero-run amplitude dependent group and zero-run length dependent group, and losslessly encoding each of the uncorrelated groups of symbols, for example, using a fixed or adaptive Huffman or Artihmetic coder.

Abstract: The present invention is drawn to a method for digital image modeling in which the digital image is divided into digital image blocks. First, a coder input vector of the digital image blocks is received. Second, a coefficient vector is approximated, each coefficient or coefficient vector corresponding to one of the digital image blocks. The approximating step further comprises generating a transformation matrix that yields a coefficient vector from a product of the coder input vector and decomposing the transformation matrix into a product of multi-diagonal or sparse unitary transformation matrixes and an energy sequencer unitary transformation matrix.