Abstract: The disaster recovery techniques, for presentment of a company's bills, statements or the like, provide electronic document presentment in the event of a disaster that impacts the company's print mail delivery operation or other existing mailing system(s). Files containing electronic documents are received, from a system associated with the print mail delivery operation, and the documents are stored in a database. Preferably, the systems use the company's existing data files. The files may be converted to a format compatible with one or more electronic delivery methodologies, if necessary. The disaster recovery systems present notice and/or data from the documents to the company's customers electronically, for example as e-mail (notice or message containing some or all of the document data), as a document attachment to an e-mail, via a web site, and possibly via telephone voice announcement.

Abstract: The disaster recovery techniques, for presentment of a company's bills, statements or the like, provide electronic document presentment in the event of a disaster that impacts the company's print mail delivery operation or other existing mailing system(s). Files containing electronic documents are received, from a system associated with the print mail delivery operation, and the documents are stored in a database. Preferably, the systems use the company's existing data files. The files may be converted to a format compatible with one or more electronic delivery methodologies, if necessary. The disaster recovery systems present notice and/or data from the documents to the company's customers electronically, for example as e-mail (notice or message containing some or all of the document data), as a document attachment to an e-mail, via a web site, and possibly via telephone voice announcement.

Abstract: A method for exploiting correlated mail streams using optical character recognition is provided in which a static database is used to store data based on training. Real-time data for the parameters of interest, such as address block location, zip code, city, state, and font size or type is collected from the mail processing equipment in order to generate a statistical information database. The dynamic database can include probability density functions, correlations statistics, mean, variance, and high order moments. The statistical parameters are tracked using recursive least squares schemes with various windowing options, as will as moving average linear filters. Based on cost models which indicate the cost of making various types of errors in the OCR process, a decision threshold is determined which is based on the real-time statistics of the mail stream.

Abstract: Linear and decision feedback equalizers which are communication receivers used in computer systems having an ISI receiver system and analysis paradigm to provide the ability of estimating the performance of these receivers under mismatched channel conditions. The mean square error (MSE) performance of linear and decision feedback equalizers in the presence of arbitrary channel mismatch is presented. A generic equalizer which has feed-forward and feedback taps which are optimized for a mean square error (MSE) criterion. The ability to rapidly predict MSE performance also leads to the real-time adaptation of the equalizer complexity to improve MSE performance, optimal truncation of channel impulse response based on an MSE criterion, and assessing the impact of assuming white noise in a colored noise environment. With the system and method there is a determination of the spectral characteristics of the communication channel during training and/or decoding.

Abstract: An adaptive communications receiver for data-transmission which comprises a channel estimator and sequence estimator. The channel estimator consists of a recursive least squares algorithm which uses a known training signal or past decisions to provide a channel estimate. The sequence estimator consists of a new recursive algorithm which uses the channel estimate to estimate the information sequence transmitted over the channel. The receiver exploits the commonality between the sequence and channel estimator to provide an efficient implementation. The receiver can have varying degrees of non-linearity and is lower in complexity and more robust than linear or decision feedback equalizers in the presence of channel mismatch.