Abstract: Digital audio is transformed using a set of filters derived from the evolving states of a dynamical system (e.g., cellular automata). The ensuing transform coefficients are quantized using a psycho-acoustic model that is a function of a fidelity parameter and the distribution of the transform coefficients in critical bands within the transform space. The technique results in compression of the original audio data. Recovery of a close approximation of the original audio data is obtained via a rapid inverse transformation. An encoding method is provided for accelerating the transmission of audio data through communications networks and storing the data on a digital storage media.

Abstract: A method and apparatus for modeling physical, chemical and sundry conceptual processes is taught. A family of multi, state dynamical systems are used to solve the differential equations that define these processes. Differential bases functions are generated from the evolving states of cellular automata. The use of the differential basis functions greatly simplifies the modeling process. The present invention avoids the use of millions of computational cells as required by the prior art.

Abstract: A data communication system which facilitates integration of both wireless and wired communication devices with core backbone and service provider networks. The data communication system includes a sub-network which provides enhanced data transport and managed IP services for services providers. Managed IP servers process data at the IP layer, and perform encryption, decryption, compression, and decompression functions, thus enabling the provision of content-based services to end-users.

Abstract: Digital video data is encoded by using the evolving states of cellular automata. The method involves performing a frame-by-frame encoding of a group of M frames. Each of the frames is transformed with transform basis functions derived from the evolving cellular automata. The ensuing transform coefficients are encoded using a sub-band-based embedded stream technique that places the most important coefficients at the top of a hierarchical storage/transmission. The embedded stream encoding of the ensuing transform coefficients achieves an automatic redundancy removal in the cellular automata frequency space. Compression of the M frames is achieved when the stream encoding/decoding is terminated after: 1) a stipulated maximum bit budget is reached, or 2) when a predefined maximum error rate is attained. An encoding method is provided for accelerating the transmission of video data through communications networks and storing the compressed data on digital storage media.

Abstract: A method and apparatus for accelerating data transport through communication networks (e.g., the Internet) is taught. The data sources may include Internet web pages, electronic mails, computer files, digitized pictures, voice and video. The method combines smart content-based data compression schemes with intelligent routing to efficiently move information across a network. The apparatus works with existing communications protocols (e.g., TCP/IP, UDP, HTTP, SMTP and POP3) and fits transparently with Internet browsing applications.

Abstract: Digital video data is encoded by using the evolving states of cellular automata. The video data is subdivided into groups of three-dimensional “video cubes”. The data is transformed via 3D filters derived from the cellular automata. The ensuing transform coefficients are encoded using a sub-band-based embedded stream technique that automatically transmits or stores the most important coefficients. Compression of the video cubes is achieved when the stream encoding/decoding is terminated after 1) a stipulated maximum bit budget is reached, or 2) when a predefined maximum error rate is attained. This invention teaches an encoding method for accelerating the transmission of video data through communications networks and storing the compressed data on digital storage media.

Abstract: Digital images are transformed using a set of filters derived from the evolving states of cellular automata. In accordance with a preferred embodiment, the ensuing transform coefficients are encoded using a sub-band-based embedded stream technique that places the most important transform coefficients at the top of a hierarchical storage/transmission. Compression is achieved when the stream encoding/decoding is terminated after 1) a stipulated maximum bit budget is reached, or 2) when a predefined maximum error rate is attained. The present invention provides an encoding method for accelerating the transmission of image/video data through communications networks and storing the compressed data on digital storage media.

Abstract: Digital audio is generated and coded using a multi-state dynamical system such as cellular automata. The rules of evolution of the dynamical system and the initial configuration are the key control parameters determining the characteristics of the generated audio. The present invention may be utilized as the basis of an audio synthesizer and as an efficient means to compress audio data.

Abstract: Digital video data is encoded by using the evolving states of cellular automata. The video stream is decomposed into reference frames that are separated by blocks of intermediate video frames. The reference frames are transformed with transform basis functions derived from the evolving cellular automata. The ensuing transform coefficients are encoded using a sub-band-based embedded stream technique that places the most important coefficients at the top of a hierarchical storage/transmission. Compression of the reference frames is achieved when the stream encoding/decoding is terminated after: 1) a stipulated maximum bit budget is reached, or 2) when a predefined maximum error rate is attained. The intermediate frames are encoded by a predictive method that utilizes one-dimensional multi-state dynamical system. An encoding method is provided for accelerating the transmission of video data through communications networks and storing the compressed data on digital storage media.

Abstract: A method and apparatus for encrypting and decrypting data using a transform which is a function of input data and a basis. After the input data is received, the basis is generated from key values specifying characteristics of a cellular automata space of at least one cell and at least one rule of interaction for the at least one cell. Using the generated basis, the input data is transformed into encrypted or decrypted data.