METHOD FOR SIGNAL AND MATERIAL PROCESSING USING SELF-ORGANIZING FIELD EFFECTS

Abstract: A software method utilizes a specific self-organizing field effect. The self-organizing software method is described in its parts to be a specific input, process and operation and output, and it generates a field effect. Specific input algorithms program the field effect to process signals and materials (16). Specific phase space Hamiltonian and Lagrangian operators are exchanged during a specific process and operation in the Hilbert space or neural network. The programmed operators (10) function as specific output producing a radiant neural network field effect. This is then transmitted through a neural network to a specific target signal or material. The source code algorithm utilizes self-interaction, specific harmonics and exchange operations to process the signal or material (16). Specific quality and characteristics modifications occur in the signal or material as a result of the source code utilized in the specific input, process and operation, and output.

Description: METHOD FOR SIGNAL AND MATERIAL PROCESSING USING SELF-ORGANIZING FIELD EFFECTS BACKGROUND OF THE INVENTION 1. Field of the Invention: The present invention relates to a software method which utilizes a specific self-organizing field effect to generate a field effect for modifying qualities and characteristics of signals and materials. The self-organizing software method is described in its parts to be a specific input, process and operations, and output. 2. General Background and State of the Art: The software method represents the source code for generating self-organizing field effects which, when applied to any system can improve quality characteristics of that system. The software can be applied to entertainment electronic systems. When electronic circuits process signals, they generate imperfections that create noise or other deleterious effects. Thus, the playback of a recorded digital or analog signal of music on tape or a compact disk is inferior to the original performance irrespective of the recording quality. Sometimes, especially with high-end recordings, the inferiority is difficult to measure. That measurement difficulty may be due in part to limitations or effects in the measuring circuit. However, the human ear and brain often can detect the inferior nature of the playback, even if the inferiority is very subtle. Similar imperfections are evident in recorded analog and digital images, including film, videotapes and DVDs. The act of filming or recording visual images often yields recorded images inferior to an original scene. The color may be incorrect, the contrast may be wrong, details in shadows may be lost, or the image may lack sharpness. A person using only his or her eyes and brain often can describe the imperfections of recorded images. Sometimes, the effects on humans are subtler. For example, digital animation can create fantastic moving images, but some people find viewing the images uncomfortable, especially over long periods. These issues are not limited to circuits or image or sound processing. The issues can be quite apparent, however, because of people's ability to hear and see the sounds and im- ages. The software method described above impacts the resulting image. The source code is utilized to engineer specific system software (object code) to improve the quality and performance of a specific system where the object code is applied. Chaotic effects also influence chemical processes. For example, each step of the photographic process, from image capture on negative film, to film processing, to capturing the negative image on print paper, to developing the image print, is a chemical reaction. Imperfections in the reactions at any stage adversely affect the resulting image. The present invention affects specific quality and characteristic in signals and material in ways discussed below. It is believed that these effects are on the quantum level. There- fore, the application will explain some background on quantum physics. Quantum physicists speak of exchange or messenger particles. For every type of fundamental force, i.e., gravitational, electromagnetic, strong force and weak force, an associated uncharged exchange particle exists. The electromagnetic force is carried by an exchange of virtual photons. The weak force is carried by W and W bosons and Z particles. Gluons carry the strong force, and gravitons carry gravitational forces. The Hubert space is the phase transition space where virtual particles exchange as operators. It represents the space in electrodynamics where bandwidth is created, maintained, and destroyed. The Schrδdinger time independent equation states that the bandwidth changes proportionately with the virtual exchange from the neutral current virtual particles mentioned above at the Hubert space. The invention accesses the Hubert space at critical phase transition and transduction points within a specific application. Schrδdinger postulated that for every force or effect in the real world, a corresponding effect had to occur in the virtual world. The Schrδdinger time independent equation, HΨ = EΨ explains this relationship. The Hamiltonian value H equals the Eigenvalue E for the signal Ψ with the exchange from H to E, from virtual to real through the Hubert space. The Schrδdinger time independent equation shows the benefit of the software method at the Hubert space where the exchange of virtual operator Hamiltonian values equals changes in Eigenvalues and Eigenstates which directly affects bandwidth and noise in a specific system. Many of the virtual operators that act at the Hubert space act chaotically. Further, the Second Law of Thermodynamics requires that all open systems move from a more ordered state to a state of increased disorder. Biological systems seem to contradict the Second Law, however. These systems seem to move toward increased complexity and evolve toward more complex organisms. The molecule of life, DNA, is self-organizing. The present invention utilizes specific bio-operators which have self-organizing properties and which exchange their properties at the Hubert space. Einstein's general theory of relativity plays a part in the present invention by correlating on a mathematical level the exchange of virtual gravitons with classical electronic and chemical systems. The mechanics of the invention utilize the principles of Einstein's field equations of relativistic gravitation which is: G μv = — r-T μv c Kg And by adding the cosmological term, — ^- , yields an equation for quantification C " of gravity and unification of gravity with the standard model of elementary particles: Q μ V Λ f fv τhj s equation leads to a technical means utilized in this invention by which gravitons, the exchange medium for quantum gravity, give rise to long-range interactions for which a meaningful classical limit exists. That limit consists of large numbers of coherent quantum states with well-defined macroscopic properties. In that equation Λe ' RTZCT G μv + — ^- - — ~T μv , T μv is the total energy-momentum tensor representing the covariant c c source of gravity. The tensor is used to construct a gravitational field consistent with special relativity, namely to use a symmetric and null tensor gravitational potential, h μv (= h vμ ) which is linked by a wave equation to the entire energy-momentum tensor T μv . Thus gravitational effects created using the present invention propagate as null waves, and the energy has mass and exerts a dynamic effect on the space-time geometry. The invention assumes that gravitation is a non-linear effect closely related to the geometry of spacetime itself and in particular to its curvature. - The present invention also relies on what this application calls the neutral network, or neutral current, concept. The neutral network is that part of a system that is electrically neutral and is the signal path and reference for the neutral currents of virtual exchange particles and operators. In electronics and signal processing, it is the neutral ground, the common neutral, the return or the ground state reference. Thus, in an alternating current, the neutral is where the signal references the ground on each cycle. See FlG. 3, which is discussed below. Each electronic component has a neutral point, for example a capacitor's dielectric is the location of the neutral in a capacitor. For a direct current system, the neutral is the zero voltage reference for any signal in the DC system. In a transducer or oscillator, the neutral is the phase transition space. Thus, the neutral network for an oscillator is where the oscillator changes from 0 → 1 or 1 -» 0 l→l or 0-»0 (See FlG. 2, which is discussed below.). Chemical and material processes also have neutral networks. Physically, the neutral network resides in the domain of an oxide such as the silicon oxide of a transistor or microprocessor or an iron oxide of magnetic tape. The neutral network also resides in phase transi- tions of chemical reactions, A+B • • » C+D and in enzymatic interactions. Even macro-scale mechanical events have a neutral path. It occurs in the phase transition change from potential to kinetic energy. The concept of a neutral network relates also to the neutral current concept in quantum electrodynamics theory. Following an experiment in 1973 at the High Energy Particle Accelerator at CERN, scientists were able to confirm the existence of neutral currents. INVENTION SUMMARY One object of the present invention is to use specific input algorithms to exchange operators in the neutral network of signals and materials to generate specific qualities, especially improved qualities for signals and materials. These quality characteristic changes can advantageously affect many different signals and materials. For example, the applied process of the present invention can improve many aspects of computer operation including the semiconductor elements, such as integrated circuits, memory elements such as materials used for hard drives, and capacitors. It can improve the semiconductor fabrication process and improve the characteristics of magnetic disks and tape and other storage media. Further, the invention can improve the chemical reaction taking place in batteries for laptops and other portable computers. For communications systems, the invention can change the characteristics of paired copper wire and the signals on those wires. The characteristics of wireless, microwave and satellite telephones and television and radio signal transmission also can be affected. Improving switches and routers for computer networks and the Internet also are possibilities. Applicant anticipates effects in the entertainment field, including improved photographic film from manufacture of film to processing of photographic film prints. Digitally stored entertainment, including audio CDs and tape, videotape and DVDs, also should see improvements. The improvements also can extend to the television, VCR or other equipment used to play or project signals containing entertainment content. Many chemical processes also should see improved characteristics. Batteries are an example of devices that rely on internal chemical reactions, and the present invention can improve battery characteristics. Moreover, insofar as batteries are a part of an electronic circuit, using the invention on batteries can affect the characteristics of the signals from the circuit where their power is applied. These and other objects of the present invention will be evident from the detailed description of the preferred embodiments. BRDZF DESCRIPTION OF THE DRAWINGS FIGS. 1, 2 and 3 are diagrams or graphs showing the environment in which the present invention operates. FlG. 1 is drawing of an oscillator. FlG. 2 is a digital square wave signal. FIG. 3 is a sinusoidal wave. FlG. 4 is a Venn diagram that shows the relationship of features of the input of the present invention. FlG. 5 is a diagram of a essential elements of a propagating signal. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The self-organizing method of the present invention is divided into three separate areas: 1) a specific input; 2) a process and operation; and 3) an output. The input is the invention's algorithms. The process and operation are the exchange of virtual operators in the neutral pathways. The output is the qualities imposed by the exchanged virtual operators on the signal or materials. Beginning with the input, the present invention generates and uses specific input algorithms. The algorithms exchange operators in the neutral network of a signal or material. The input has three components. The first is a bio-operator, a DNA-based system that organ- izes the virtual operations into algorithms. The present invention uses DNA-based systems because DNA is self-organizing. The bio-operator specifies the algorithm. The next part of the input is a discriminator. The discriminator locates the specific neutral network or pathway in any system. It specifies the points of delivery into the specific application. The input's third part is a resolver. A resolver locates the specific transition points in the system. Insofar as this invention uses gravitational exchanges, the resolver locates the phase transition zero point gravitational points in a system. The resolver opens the operation of the delivery of operators by the virtual reference operations. When the bio-operator, discriminator and resolver combine and coexist for a specific application input, process and operation, and output, a spontaneous download or exchange of specific Lagrangian operators occurs into Hubert space at zero point phase transition states. FlG. 4 shows this concept. In the Venn diagram of FIG. 4, bio-operator 10, discriminator 12 and resolver 14 overlap at hatched region 16. In region 16, the spontaneous download of specific operators takes place. The algorithms are innate bio-physical operations. Because an algorithm is innate, the download or exchange is spontaneous. The download or exchange of Lagrangian operators takes place to phase transition states. One can visualize phase transition states by referencing a pendulum. In FlG. 1, pendulum 20 swings between points 22 and 24. At those points, the pendulum's velocity is 0. The energy of the pendulum is entirely potential and is changing to or from kinetic energy. Sinusoidal or alternating current signals have exchange points. These occur when the signal crosses the ground or reference. Thus, in FlG. 3, the transition points exist where signal 30 crosses ground at points 32, 34 and 36. When any signal propagates the essential elements are attack, internal dynamics and decay, In FlG. 5 the phase transition points are when the signal originates and goes into attack phase, then when attack transitions to internal dynamics, and when internal dynamics transitions to decay phase. This diagram relates to entertainment, broadcast, and telecommunications signals. In a digital circuit, the phase transition points are the change from one to zero or zero to 1. Signal 40 is a square wave generated by the arithmetic logic unit (ALU) of a microprocessor. Through its oscillations, the ALU keeps time in the microprocessor. The signal 40 jumps from 0 —» 1 at phase transition points 42 and 46 and from 1 → 0 at phase transition points 44 and 48. As the circuit changes states many thousands of times a second, the present invention downloads the specific algorithms at the phase transitions. It is at these phase transition points, in particular, where noise and chaotic effects are introduced. By downloading specific self-organizing operators, i.e., DNA-based operators, the chaotic effects can be minimized. That is, the quality and characteristics, which are the output of the hardware, are modified for specific phenomenon. For the purpose of discussing the invention as a software method, three essential elements of software design are used to present the basic methods used in the invention. The three elements of software, including the software of the present invention, are: 1. control — the bio-operator 2. operations — the discriminator 3. data objects — the resolver Control is the memory function, the sequence of rules for the generation of algorithms, storage of algorithms, and the memory addresses and functions. The bio-operator described in the invention provides the control function in the software method. The operations, are the decide function in the software and are represented by the discriminator or code writer engineer. The operations are composed of transformations and manipulations that decide which algorithms will interact with the data objects. This is done by the discriminator, which in the present invention is the quantum engineer code writer. He or she exchanges specific operators, which are virtual algorithms located by the bio-operator, to phase transition addresses which have been located by the resolver. The exchange process initiated by the discriminator has been described above. When the bio-operator, discriminator and resolver coexist for a specific application, then a spontaneous exchange or downloading of algorithms occurs causing a specific process and opera- tions, and output to occur. The process and operation are the exchange of virtual operators in the neutral pathways. The discriminator chooses the bio-operator. For example, the discriminator may choose DNA-based sequences that potentially can be located as bio-operator algorithms. The sequences may be found within a seed, plant, single-celled organism or more complex animal life. They also can come directly from the DNA contained within a nucleus of the cell of one of those. The data objects are the sense and act functions which correspond with the resolver. The data objects consist of arrays, lists, and files which resolve where the system will sense and act. The resolver sends the input to process and operations, and output. Accordingly, system analysis creates arrays, lists and files, which are composed of innate addresses in the system to be used in applications. The transfer is through the neutral network and works within the system at phase transitions. Some of the effects relate back to the effects predicted by general relativity as discussed above. The application has discussed the three input functions, bio-operator, discriminator and resolver, and they now are considered in more detail. The bio-operator deals with the control and memory of the input. The internal dynamics of the bio-operator are innate bio-physical DNA sequences. The bio-operator stores the specific sequences in memory. As a result, the bio-operator specifies the algorithm. The discriminator can be considered to be the observables or the decide function. This normally is a quantum engineer using ordinary skill to decide which bio-operator to use for a specific application. The engineer defines the necessary transformations and manipulations. Consequently, the results are a commutation passing from one state to another. The discriminator will understand the process of virtual field self-organization. This process must be understood at the level of DNA systems and at the level of information theory where form and function self interact. The discriminator locates the bio-operator through a technology of self interaction which captures the bio-operator in its innate natural form in the virtual state. This capture is accomplished through understanding of the self referral process in the virtual state. The discriminator may use zero point technology to locate the bio-operator and use self referral methods to exchange the bio-operator to the phase transition points that the resolver selects in the chosen system for application. The resolver is a process of field localization performed within the system for application. The resolver is a virtual neutral network field operator which is located by the dis- eliminator and instructed via specific algorithms to select specific phase transition (Hubert space) points in a specific system for exchange of the bio-operator's algorithms. Eventually with proficiency the discriminator will allow the resolver to locate the system points automatically and with skill the discriminator will program the resolver to immediately activate the downloading or exchange of bio-operators at the system points selected by the resolver. The resolver may sense and act spontaneously and move about the system to new phase transition points where the discriminator can choose or not choose to exchange operations. The resolver can be considered as a path integral function composed of data objects performing sense and act functions. The input has a source code, or language utilizing self interaction, specific harmon- ics, which are observables within self interaction processes, and exchange operations within the harmonic observables. In its basic form, the source code is binary oscillations in electrical systems and deals with the thermodynamics and phase transition in chemical reactions. The self- interaction in electrical systems functions to enable source code to locate at the phase transitions in binary code when zero changes to one and one changes to zero. The source code has specific harmonics in electrical systems and generates application algorithms. These applications algorithms are instructed to locate at specific phase transition and transduction points in timers, arithmetic logic units, oscillators, dielectrics, and transducers The source code utilizes exchange operations within the harmonic observables to create specific field effects. Source code utilizes self-interaction in chemical reactions at phase transitions in chemical reactions and within enzymatic processes with respect to non-dynamic equilibrium. Chemical reaction source code expresses specific harmonics in effects such as tunneling, stabilization, radiance, propagation and exchanges. The chemical exchange operators function within the harmonic observables, and they are thermodynamic phase transition operators. The source code also has its own mathematics. The primary theories for the mathe- matics are quantum electrodynamics and general relativity. The primary equation for quantum electrodynamics is the time-independent Schrδdinger equation. That is extrapolated to the time-dependent Schrδdinger equation which uses renormalization to dispose of infinities when integrating an integral J ~° , which is part of the equation. As an example of the mathematics of quantum electrodynamics, the source code functions as renormalization along a path integral function related to the source code language and specifically to process and operations, and output. Insofar as the primary theory is general relativity, the primary equations are those discussed above and the Lorentz-Einstein transformation equations specifically: M, The use of these equations suggests and extrapolates to gravito-electromotive field effects. Gravitational effects may propagate as neutral currents in neutral null waves. The energy of those currents have mass and exert a dynamic effect on space-time geometry. The output of the invention generates a neutral field, which becomes a reference state for the system where the invention is applied. The term "hardware" was previously used. While hardware implies electronic systems, the process and operations of the invention is a broader definition. Furthermore, even in the electronic realm, process and operations is not limited to the ALU of microprocessors. The downloading can occur in a capacitor dielectric or to the path of a signal related to its ground state — for alternating current — or a refer- ence for the direct current path of a signal. Process and operation also can occur at any phase transition in any chemical reaction or where an enzyme moves the reaction. In material processing, the invention sites metal and mineral oxides. In particular, the process and operation affect the neutral network of magnetic tape and copper oxides of any conductors and can affect crystals. While the specification describes particular embodiments of the present invention, those of ordinary skill can devise variations of the present invention without departing from the inventive concept.

Claims: I claim: 1. A method for signal and material processing comprising: a) programming specific input algorithms with self-organizing operators; b) exchanging specific phase space quantum operators in the neutral network of a specific process and operation, the programmed operators acting as specific output to produce a field effect phase in transition points in specified system where the method is applied; c) transmitting the output through a neutral network to a specific target signal or material. 2. The method of claim 1 wherein the self-organizing operators are DNA based. 3. A method for signal and material processing comprising: a) programming specific input algorithms with self-organizing operators; b) exchanging specific phase space quantum operators in the neutral network of a specific process and operation, the programmed operators acting as specific output to produce a field effect phase transduction points in a specified system where the method is applied; c) transmitting the output through a neutral network to a specific target signal or material.

Inventors: SLADE KEVIN H, SLADE, KEVIN, H.
Applicants: SLADE KEVIN H, SLADE, KEVIN, H.
Application year: 2000
Main classification: G06N3
IPC codes: G06N1, G06N3