Abstract: An encoder creates an (p,k,n) n-state codeword with p n-state symbols of which k n-state symbols are data symbols, an n-state symbol being represented by a signal with n>2, p>2 and k>(p?k). Intermediate states of an encoder in forward and in reverse direction are provided in a comparative n-state expression and implemented on a processor. A plurality of signals representing a codeword with at least one n-state symbol in error is processed by the processor by evaluating the comparative n-state expression. A partial result of an expression is determined after a symbol has been received. An error location and an error magnitude or error value are determined. The error is corrected by the processor.

Abstract: Method and apparatus for writing scrambled multi-value data to a physical media and for reading scrambled multi-value data from a physical media, are disclosed. The physical media can be an optical disk. The scrambling can be performed by a multi-valued LFSR scrambler and the descrambling can be performed by a multi-valued LFSR descrambler. Further, the multi-valued data that is scrambled can include synchronization data and/or user data. Error correction coding can be used during the writing process and processing to correct for errors can be used during the reading process. Also, methods and apparatus for synchronizing multi-valued data written to and read from physical media are disclosed. Multi-value correlation methods and apparatus are also disclosed.

Abstract: Apparatus and method for performing multi-value arithmetic operations are disclosed. Multi-value signals can be added, subtracted and multiplied using a first truth table to generate a residue and a second truth table to generate a carry. Additionally, method and apparatus to efficiently perform the function a0b1+a1b0 on multi-value signals are disclosed. Also an efficient method of processing large binary signals is disclosed.

Abstract: Methods and apparatus for implementing an n-state ripple-adder scheme coder with n?2 using an n-state reversible switching function and a non-reversible n-state switching function acting upon a first and a second word of at least 2 n-state symbols are disclosed. Corresponding decoding methods and apparatus are also disclosed. A resulting codeword may be a codeword which can be decoded by using the identical or different n-state switching functions in a corresponding ripple adder scheme decoder. Feistel networks and LFSRs apply the coding and decoding. Systems using the coding and decoding methods may be communication, storage and/or financial systems.

Abstract: Symbol reconstruction methods by applying Galois Field arithmetic to Reed Solomon codewords have been disclosed. Reconstruction methods by applying n-valued reversing logic functions are also provided. A correct codeword can be selected from calculated codewords by comparing a calculated codeword with the Reed-Solomon codeword in error. A correct codeword can also be found by comparing a codeword in error with possible (p,k) codewords. Non Galois Field Reed Solomon coders are disclosed. Methods for correcting symbols in errors that have been identified as being in error are provided. Apparatus that implement the error correction methods are disclosed. Systems, including communication and storage systems that use the disclosed methods are also provided.

Abstract: A sequence generator implemented on a receiver is synchronized with a sequence generator at a transmitter. The receiver receives k n-state symbols, with k>1 and n>1 wherein each of the k n-state symbols is associated with a generating state of the sequence generator at the transmitter. A processor in the receiver evaluates an n-state expression that generates an n-state symbol that is associated with a synchronized state of the receiver. Coefficients related to the n-state expression are stored on a memory and are retrieved by the processor. The synchronized state in one embodiment is part of a code hop. The sequence generator in the receiver may be part of a descrambler, of a communication device, of a data storage device and/or of an opening mechanism.

Abstract: An encoder creates an (p,k,n) n-state codeword with p n-state symbols of which k n-state symbols are data symbols, an n-state symbol being represented by a signal with n>2, p>2 and k>(p-k). Intermediate states of an encoder in forward and in reverse direction are provided in a comparative n-state expression and implemented on a processor. A plurality of signals representing a codeword with at least one n-state symbol in error is processed by the processor by evaluating the comparative n-state expression. A partial result of an expression is determined after a symbol has been received. An error location and an error magnitude are determined. The error is corrected by the processor.

Abstract: An encoder creates an (p,k,n) n-state codeword with p n-state symbols of which k n-state symbols are data symbols, an n-state symbol being represented by a signal with n>2, p>2 and k>(p?k). Intermediate states of an encoder in forward and in reverse direction are provided in a comparative n-state expression and implemented on a processor. A plurality of signals representing a codeword with at least one n-state symbol in error is processed by the processor by evaluating the comparative n-state expression. A partial result of an expression is determined after a symbol has been received. An error location and an error magnitude are determined. The error is corrected by the processor.

Abstract: Methods for transposing elements of a sequence according to a rule, wherein the rule is derived from pseudo-noise or pseudo-noise like binary and non-binary sequences are disclosed. Sequences of transposed symbols can be recovered by applying a reversing rule. Sets of orthogonal hopping and transposition rules are created by applying transposition rules upon themselves. Sets of orthogonal hopping and transposition rules are also created from binary and non-binary Gold sequences.

Abstract: Reversible and self reversing multi-value scrambling functions created by applying multi-value inverters are disclosed. The generation of possible multi-value inverters is also presented. Corresponding multi-value descrambling functions are also disclosed. The multi-value functions are used in circuits that scramble and descramble multi-value signals. The multi-value functions can also be used in signal generators. Such signal generators do not require the use of multipliers. The auto-correlation of the signals generated by the signal generators is also presented. Electronic circuits that implement the multi-value functions are also described.

Abstract: Methods and apparatus for coding and decoding n-state symbols with n?2 and n>2 and n>3 and n>4 are provided wherein at least one implementation of an addition over an alternate finite field GF(n) and an inverter defined by a multiplication over the alternate finite field GF(n) are provided. Encoders and decoders implementing a single n-state truth table that is a truth table of an addition over an alternate finite field GF(n) modified in accordance with at least one inverter defined by a multiplication over the alternate finite field GF(n) are also provided. Encoders include scramblers, Linear Feedback Shift Register (LFSR) based encoders, sequence generator based encoders, block coders, streaming cipher encoders, transposition encoders, hopping rule encoders, Feistel network based encoders, check symbol based encoders, Hamming coder, error correcting encoders, encipherment encoders, Elliptic Curve Coding encoders and all corresponding decoders.

Abstract: The invention relates to error-correcting coding and correct restart of decoding after errors of sequences that are coded by convolutional coders or LFSR based descramblers. The signals can be binary or multi-valued signals. Methods and apparatus to convolutional encode and decode sequences of binary and n-valued symbols are disclosed. The invention further discloses methods and apparatus to identify symbols in error in sequences coded according to methods of the invention. Methods and apparatus to correct these errors are provided. Methods and apparatus to repair errors in a Trellis of received sequences are also provided. Methods and apparatus for n-valued Recursive Systematic Convolutional coders and decoders are disclosed.

Abstract: A method for coding a message of a plurality of m-state symbols into a coded message of n-state symbols wherein n>m is disclosed. A method to make the distribution of states of n-state symbols a uniform distribution is also disclosed. A coding rule is initiated based on a distribution of states of m-state symbols. A method of coding the coding rule by transposition is also provided. In one embodiment a coded message of n-state symbols has symbols that each have a unique state. A system for executing the coding and decoding methods is also disclosed.

Abstract: Ternary (3-value) and higher, multi-value digital scramblers/descramblers in digital communications. The method and apparatus of the present invention includes the creation of ternary (3-value) and higher value truth tables that establish ternary and higher value scrambling functions which are its own descrambling functions. The invention directly codes by scrambling ternary and higher-value digital signals and directly decodes by descrambling with the same function. A disclosed application of the invention is the creation of composite ternary and higher-value scrambling devices and methods consisting of single scrambling devices or functions combined with ternary or higher value shift registers. Another disclosed application is the creation of ternary and higher-value spread spectrum digital signals. Another disclosed application is a composite ternary or higher value scrambling system, comprising an odd number of scrambling functions and the ability to be its own descrambler.

Abstract: Ternary (3-value) and higher, multi-value digital scramblers/descramblers in digital communications. The method and apparatus of the present invention includes the creation of ternary (3-value) and higher value truth tables that establish ternary and higher value scrambling functions which are its own descrambling functions. The invention directly codes by scrambling ternary and higher-value digital signals and directly decodes by descrambling with the same function. A disclosed application of the invention is the creation of composite ternary and higher-value scrambling devices and methods consisting of single scrambling devices or functions combined with ternary or higher value shift registers. Another disclosed application is the creation of ternary and higher-value spread spectrum digital signals. Another disclosed application is a composite ternary or higher value scrambling system, comprising an odd number of scrambling functions and the ability to be its own descrambler.

Abstract: Convolutional coders having an n-state with n?2 Linear Feedback Shift Registers (LFSR) in Galois configuration with k shift register elements with k>1 are provided. Corresponding decoders are also provided. A convolutional coder generates a sequence of coded n-state symbols. A content of a starting position of an LFSR in a decoder is determined when sufficient error free coded symbols are available. Up to k symbols in error are corrected. A systematic convolutional coder and decoder are also provided.

Abstract: Methods and apparatus for implementing an n-state ripple-adder scheme coder with n?2 using an n-state reversible switching function and a non-reversible n-state switching function acting upon a first and a second word of at least 2 n-state symbols are disclosed. Corresponding decoding methods and apparatus are also disclosed. A resulting codeword may be a codeword which can be decoded by using the identical or different n-state switching functions in a corresponding ripple adder scheme decoder. Feistel networks and LFSRs apply the coding and decoding. Systems using the coding and decoding methods may be communication, storage and/or financial systems.

Abstract: N-valued re-circulating latches using n-valued reversible inverters with n>3 are disclosed. Latches using n-valued self-reversing inverters are provided; latches using n-valued universal inverters are provided; and latches using inverters which are not self-reversing or universal are also provided. A latch may use two individually controlled gates. It may also use one individually controlled gate. N-valued latches are provided wherein a state is represented by a signal being an independent instance of a physical phenomenon. A latch not using absence-of-signal as a state is also provided.

Abstract: Method and apparatus for writing scrambled multi-value data to a physical media and for reading scrambled multi-value data from a physical media, are disclosed. The physical media can be an optical disk. The scrambling can be performed by a multi-valued LFSR scrambler and the descrambling can be performed by a multi-valued LFSR descrambler. Further, the multi-valued data that is scrambled can include synchronization data and/or user data. Error correction coding can be used during the writing process and processing to correct for errors can be used during the reading process. Also, methods and apparatus for synchronizing multi-valued data written to and read from physical media are disclosed. Multi-value correlation methods and apparatus are also disclosed.

Abstract: Methods and apparatus to implement LFSRs and LFSR based sequence generators, detectors, scramblers and descramblers by addressable memory are disclosed. The methods and apparatus may be processing binary or n-valued symbols, with n>2. Methods to uniquely characterize n-valued Gold sequence are also disclosed. Self-synchronizing methods to detect sequences which can be decomposed into unique words are also disclosed. Methods and apparatus to implement Fibonacci and Galois LFSRs are disclosed.