JP2003510729A - Method for processing signals and substances using self-organizing field effects - Google Patents

Abstract

(57) [Summary] Software methods use the effects of specific self-organizing fields. The self-organizing software method is described in part as specific inputs, processes, operations and outputs, and the software method produces a field effect. Particular input algorithms program the field effects for processing signals and materials (16). During certain processes and operations in a Hilbert space, i.e., a neutral network, exchange Hamiltonian and Lagrangian operators for a particular topological space. The programmed operator (10) serves as a specific output for generating the field effects of the radiative neutral network. This effect is transmitted through a neutral network to a specific target signal or substance. The source code algorithm utilizes self-organization, specific harmonics and exchange operations to process signals or substances (16). The use of source code at certain inputs, programs and operations and outputs results in certain quality and property changes within a signal or substance.

Description

Detailed Description of the Invention

BACKGROUND OF THE INVENTION 1. FIELD OF THE INVENTION The present invention relates to software methods that take advantage of special self-organizing field effects to generate field effects for modifying the quality and properties of signals and materials. This self-organizing software method has been described in part as being specific inputs, processes and operations, and outputs.

2. General Background and State of the Art Software methods can be applied to any system to provide source code for generating self-organizing field effects that can improve the qualitative characteristics of that system.

This software is applicable to entertainment electronic systems. As electronic circuits process signals, they produce defects that produce noise or other deleterious effects. Therefore, the reproduced signal of the digital or analog signal of the music recorded on the tape or the compact disc is inferior to the original performance regardless of the recording quality. Especially when using high-end recording, it is sometimes difficult to take measures against such inferiority. The difficulty of such measures is due in part to limitations or effects in the measurement circuit. However, the human ear and brain are often able to detect the inferior nature of the reproduced signal, although very poorly.

Similar deficiencies are evident in recorded analog and digital images, including films, videotapes and DVDs. The act of filming or recording a visible image often results in a recorded image that is inferior to the original scene. The color is incorrect, the contrast is poor, shadow details are lost, and the image may not be sharp. Humans who only use their own eyes and brain can often describe defects in recorded images. The effect on humans is often marginal. For example, digital animation can create fantastic animations, but for some people, the image looks uncomfortable, especially over a long period of time.

These problems are not limited to circuits, ie image and sound processing.
However, these problems are quite obvious due to the ability of a person to hear sound and see images. The software method described above affects such resulting images. Source code is used to engineer specific system software (object code) to improve the quality and performance of the particular system to which the object code is applied.

The chaotic effect also affects chemical processes. For example, each step of the photographic process, from image capture to negative film to film processing, negative image capture to print paper, and image print development, is a chemical reaction. Defects in these reactions at any stage adversely affect the resulting image of the process.

The present invention affects certain qualities and properties in signals and materials as described below. These effects are considered to be at a quantum level. Therefore, this application will provide background on quantum physics.

Quantum physicists describe exchange or messenger particles. For each basic force type, ie for gravity, electromagnetic forces, strong and weak interactions, there are associated uncharged exchange particles. Electromagnetic forces are transmitted by the exchange of virtual photons, weak forces are transmitted by W ⁻ and W ⁺ bosons and Z ⁰ particles. Gluon transmits strong mutual force, and gravitron transmits gravity.

The Hilbert space is a phase transition space in which virtual particles exchange as operators. This space represents the space in electrodynamics where the bandwidth is formed, maintained and destroyed. Schrodinger's time-independent equation describes that the bandwidth changes in proportion to the virtual exchange from the neutral current virtual particles explained in Hilbert space. The present invention accesses Hilbert spaces at critical phase transitions and transformation points in particular applications.

Schrödinger presupposed that for every force or effect in the real world, there must be an effect corresponding to the virtual world. Schrödinger's time-independent equation H Ψ = E Ψ shows this relationship. In the case of the exchange from H to E, that is, in the exchange from the virtual world through the Hilbert space to the real world,
The Hamiltonian value H is equal to the eigenvalue E for the signal Ψ. Schrödinger's time-independent equations show the advantage of software methods in Hilbert space, where the exchange of values of the virtual operator Hamiltonian directly affects bandwidth and noise in a particular system, equal to changes in eigenvalues and eigenstates. There is.

Most virtual operators working in Hilbert space work chaotically. Furthermore, according to the second law of thermodynamics, all open systems must change from a more ordered state to a more disordered state. However, biological systems appear to violate the second law. These systems appear to move towards higher complexity and change towards more complex tissue. Molecule of life, DNA
Is self-organizing. The present invention utilizes a specific bio-operator that has a self-organizing property and exchanges this property in Hilbert space.

[0012] Einstein's general theory of relativity plays a part in the present invention by relating the exchange of virtual gravitons with classical electronic and chemical systems at the mathematical level. The mechanism of the present invention utilizes the principle of Einstein's field equation for relative gravity given by:

[0013]

[0014]

By adding the above cosmological term, the following equations for quantization of gravity and unification of gravity and the standard model of elementary particles are obtained.

[0016]

This equation is the technical means available in the present invention. That is, by this equation, the gravitons, or exchange media for quantum gravity, generate long-term interactions with significant classical bounds. This limit consists of a large number of coherent quantum states with well-defined macroscopic properties. In the equation below,

[0018]

T ^μν is the total energy moment tensor that describes the covariant source of gravity. This tensor is used to construct a gravitational field consistent with special relativity. That is, it is used to use the symmetric and zero tensor gravitational potential of

[0020]

This gravitational potential is linked to the total energy moment tensor T ^μν by the wave equation. Thus, the gravitational effects generated using the present invention propagate as zero waves, the energy has mass, and gives the space-time geometry a dynamic effect. The present invention considers gravity to be a non-linear action closely related to the geometry of space-time itself, especially its curvature.

The invention also relies on what is referred to herein as the concept of neutral networks, or neutral currents. This neutral network is part of the electrically neutral system and is the signal path and reference for the virtual current of exchange particles and operators. In electronic circuits and signal processing, this neutral network is the reference for neutral earth, common neutral, return or earth conditions. Thus, for AC currents, the neutral point is at a position where the signal is referenced to ground every cycle. See FIG. 3 below. Each electronic component has a neutral point. For example, the capacitor dielectric is in a neutral position within the capacitor. In DC systems, neutral is the zero voltage reference for any signal in the DC system. In a transducer or oscillator,
Neutral is the phase transition space. Therefore, if the oscillator is 0 → 1 or 1 → 01 → 1 or 0
→ It is a network that changes to 0 (see FIG. 2 described later).

Chemical and material processes also have a neutral network. Physically, the neutral network exists in oxides, such as transistors, or silicon oxide in processors or iron oxide in magnetic tape. This neutral network is also present in the chemical reaction A + B ← → C + D phase transition and enzyme interaction. Even macroscale mechanical events have neutral paths. This neutral path occurs during the phase transition from potential energy to kinetic energy

The principle of neutral networks is also related to the concept of neutral current in quantum electrodynamic theory. After the 1973 experiment at the High Energy Particle Accelerator at Seln, scientists were able to confirm that a neutral current existed.

SUMMARY OF THE INVENTION It is an object of the present invention to specify a particular input algorithm for exchanging operators in a neutral network of signals and substances in order to generate specific qualities, in particular improved qualities for signals and substances. Is to use. Changes in these qualitative characteristics can have a beneficial effect on many different signals and substances.

For example, the application process of the present invention can improve many features of computer computing, including semiconductor devices, such as integrated circuits, memory devices such as materials used in hard drives, and capacitors. In addition, this method can improve the semiconductor manufacturing process and improve the properties of magnetic disks and tapes and other storage media. Further, the present invention can improve the chemical reactions that occur in batteries for laptops or other portable computers. For communications systems, the present invention can modify the characteristics of the copper wire pair and the characteristics of the signals on the wire pair. It can also affect the transmission characteristics of radio, microwave, satellite telephone, television and radio signals. It is also possible to improve switches and routers for computer networks and the Internet.

Applicants also anticipate effects in the entertainment field, including improved photographic film from film production to the processing of photographic film prints. Digital storage entertainment equipment including audio CDs and tapes, videotapes and DVDs can also be improved. This improvement can be extended to televisions, VTRs or other equipment used to reproduce and project signals containing entertainment content.

Many chemical processes should be able to improve the properties. A battery is an example of a device that relies on internal chemical reactions, and the present invention can improve the characteristics of the battery.
Further, the characteristics of the signal from the circuit being powered can affect the battery, as long as the battery is part of an electronic circuit using the present invention.

The above and other objects of the invention will now be apparent from the detailed description of the preferred embodiment.

Detailed Description of the Preferred Embodiments The self-assembly method of the present invention is divided into three distinct regions. That is, it is divided into 1) a specific input area, 2) a process and calculation area, and 3) an output area.
The inputs are the algorithms of the invention, the processes and operations are the exchanges of virtual operators in the neutral path, and the outputs are the qualities imposed on a signal or matter by the exchanged virtual operators. Is.

Starting from input, the present invention generates and uses a specific input algorithm. Algorithms exchange operators within the neutral network of signals or matter. The input has three components. The first component is the bio operator. That is, it is a DNA-based system that organizes virtual operators into algorithms. DNA
Is a self-assembling type, the present invention uses a DNA-based system.
The bio operator specifies the algorithm. The next part of the input is the discriminator. This discriminator looks for a specific neutral network or path in any system. In addition, the discriminator identifies the point of delivery to a particular application. The third part of the input is the resolver. The resolver is looking for a specific transition point in the system. As long as the present invention makes use of gravity exchange, the resolver seeks a gravity point at the zero phase transition point in the system. This resolver opens the operator feed operation by a virtual reference operation.

When the bio-operator, discriminator, and resolver are combined and co-exist for a particular application input, process and operation and output,
Spontaneous download or exchange of a particular Lagrangian operator into the Hilbert space occurs with a zero point phase transition. FIG. 4 illustrates this principle. In the Venn diagram of FIG. 4, the bio-operator 10, the discriminator 12, and the resolver 14 overlap each other in the hatched region 16. In the area 16, voluntary download of a specific operator is performed.

An algorithm is an inherent bio-physical operation. Since the algorithm is unique, the download or exchange is voluntary. The download or exchange of Lagrangian operators occurs up to the phase transition state. The phase transition state can be visualized by using the pendulum as a reference. In FIG. 1, the pendulum 20 has a point 2
Swing between 2 and 24. At these points the speed of the pendulum becomes zero and the pendulum energy becomes fully latent and varies with kinetic energy.

The sine wave or alternating current signal has an exchange point. These points occur when the signal crosses ground or a reference. Thus, in FIG. 3, a transition point occurs when signal 30 intersects ground at points 32, 34 and 36. The essential elements in the propagation of the signal are the attack, the internal dynamics and the decay, and when the signal is generated and enters the attack stage in FIG. These phase transition points occur when the dynamics change to the collapse stage. This figure relates to entertainment, broadcast and communication signals.

In the digital circuit, the phase transition point is a point changing from 1 to 0 or 0 to 1. Signal 40 is a square wave generated by the algebraic logic unit (ALU) of the microprocessor, which oscillates to maintain time within the microprocessor. This signal 40 jumps from 0 to 1 at phase transition points 42 and 46 and changes from 1 to 0 at phase transition points 44 and 48. The present invention downloads a particular algorithm at the phase transition point as the circuit changes states thousands of times per second.

It is at these phase transition points that noise and chaos effects are particularly introduced.
Chaos effects can be minimized by downloading certain self-organizing operators, such as DNA-based operators. That is, the quality and characteristics of the output of the hardware are changed for a particular phenomenon.

To describe the present invention as a software method, three essential elements of software design are used to provide the basic method used in the present invention. The three elements of software, including the software of the present invention, are as follows.

[0038]   1. Control-Bio Operator   2. Math-discriminator   3. Data Target-Resolver

Control refers to the memory function, the sequence of rules for generating the algorithm, the storage of the algorithm and the address and function of the memory. The bio-operator described in the present invention provides a control function in a software method.

The operation is a judgment function in software, and is displayed by a discriminator or a code writer engineer. The operations consist of transformations and operations that determine which algorithm interacts with the data object. This is done by a discriminator, which in the present invention is a quantum engineer code writer. Code writers translate certain operators, which are virtual algorithms discovered by bio-operators, into phase transition addresses discovered by resolvers.

This conversion process initiated by the discriminator has already been described. For a particular application, voluntary algorithmic exchanges or downloads that result in particular processes and operations and outputs when bio-operators, discriminators, and resolvers are present simultaneously.
This process and operation is the exchange of virtual operators in the neutral path.

The discriminator selects a bio operator. For example, a discriminator can select a potentially discoverable DNA-based sequence as a bio-operator algorithm. This sequence can be found in species, plants, unicellular tissues or more complex animals. These sequences can emerge directly from the DNA contained within the nucleus of one of these cells.

The data object is a sensory function and an action function corresponding to the resolver. Data objects consist of arrays, lists and files that break down where the system feels and acts. Resolvers send inputs and outputs to processes and operations. Thus, system analysis creates an array, list and file of unique addresses within the system to be used by the application. This transformation is via a neutral network and works within the system during the phase transition. Some of these effects are related to the effects expected by the above general relativity.

Now that the present application has described three input functions, a bio-operator, a discriminator and a resolver, these will now be discussed in more detail.

The bio-operator handles control of inputs and memory. The internal dynamics of a bio-operator is a unique bio-physical DNA sequence, and a bio-operator stores a particular sequence in memory. As a result, the Bi operator specifies the algorithm.

The discriminator can be viewed as an observable or discriminant function.
Quantum engineers with ordinary knowledge can usually determine which bio-operator to use for a particular application. The engineer determines the required conversions and operations. Therefore, the result is a transition from one state to another. The discriminator understands the process of self-organization of virtual fields. This process must be understood at the level of the DNA system and the level of information theory at which form and function interact with each other. The discriminator finds the bio-operator by the technique of self-interaction that captures the unique natural form of the bio-operator in a virtual state. This capture is achieved by understanding the self-recommendation process in a virtual state. The discriminator uses zero-point technology to find the bio-operator and uses a self-recommendation method to replace the bio-operator with the phase-shifting point selected by the resolver in the system selected for the application.

Resolvers are field specialization processes that run in the system for applications. This resolver is a virtual neutral network field operator, which is found by the discriminator and replaces the bio-operator's algorithm so that the specific phase transition (Hilbert space) point in a particular system You will be instructed by a particular algorithm to choose. Ultimately, improvement will allow the discriminator to automatically find a system point for the resolver, and skill will allow the discriminator to instantly attach or download a bio-operator at the resolver's selected system point. Program the resolver to power up. The resolver can feel and act voluntarily, allowing the discriminator to move around the system to a new phase transition point that may or may not be selected for the exchange operation.

A resolver can be thought of as a path integral function consisting of data objects that perform sensory and behavioral functions.

The input has source code or self-interaction, that is, a language that uses a particular harmonics, which is an observable in the self-interaction process, an exchange operation within the harmonics observable. The source code, in its basic form, is a binary oscillation in an electrical system, dealing with thermodynamics and phase transitions in chemical reactions.

Self-interactions in electrical systems work to discover the source code during a phase transition in a binary code where 0 changes to 1 and 1 changes to 0. The source code has specific harmonics in the electrical system and generates application algorithms. These application algorithms are commanded to look for specific phase transitions and exchanges in timers, algebraic logic units, oscillators, dielectrics and transducers. The source code makes use of commutation operations within harmonics observables to produce specific field effects.

The source code relates to non-dynamic equilibrium states and utilizes self-interaction in chemical reactions and chemical changes during phase transitions in enzymatic processes.

The source code of a chemical reaction displays certain harmonics in effects such as tunneling, stabilization, emission, propagation and exchange. The exchange operators for chemical reactions work within harmonics observables, which are thermodynamic phase transition operators.

The source code also has its own mathematical formula. The basic theory of this equation is quantum electrodynamics and general relativity. The basic equation in quantum electrodynamics is the Schrödinger equation, which is independent of time, and this equation uses renormalization to discard infinity when integrating the following integral equation, which is part of the equation: Extrapolated to the time-dependent Schrödinger equation.

[0054]

As an example of quantum electrodynamic equations, the source code functions as a renormalization along the source code language, especially the path integral functions associated with processes and operations and outputs.

As long as the basic theory is general relativity, the basic equations are the above equations and in particular the Lorentz-Einstein transformation equations below.

[0057]

The use of these equations suggests and extrapolates to the gravity-electromotive field effect. The gravity effect can propagate as a neutral current in neutral zero waves. The energies of these neutral currents have mass and add a dynamic effect to the space-time geometry.

The output of the invention produces a neutral field, which is the reference state for the system applying the invention. While this hardware, to which the term "hardware" has been used thus far, refers to electronic systems, the processes and operations of this invention are broader in definition. Furthermore, processes and operations, even in the electronic domain, are not limited to the microprocessor ALUs. Downloads can occur in the dielectric of the capacitor or in a ground condition for alternating current, or for the signal path relative to the reference for the DC path of the signal. Processes and operations can also occur when a phase transition in a chemical reaction or an enzyme causes the reaction. In material processing, the present invention selects metals and mineral oxides. In particular, the processes and operations affect the neutral network of the magnetic tape and the copper oxide of the conductors and can also affect the crystals.

Although particular embodiments of the invention have been described herein, those of ordinary skill in the art will be able to devise variations of the invention without departing from the inventive concept.

[Brief description of drawings]

FIG. 1 is a diagram showing an oscillator in an environment in which the present invention is used.

FIG. 2 is a diagram showing a digital square wave signal in an environment in which the present invention is used.

FIG. 3 is a diagram showing a sine wave in an environment in which the present invention is used.

FIG. 4 is a Venn diagram showing a relationship of output characteristics of the present invention.

FIG. 5 is a diagram showing the basic elements of a propagated signal.

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Claims (3)

[Claims] 1. A step of programming a particular input algorithm with a self-organizing operator, and b) a programmed operator to generate a field effect phase transition point in a particular system using the method. Exchanging a particular phase space quantum operator in a neutral network for a particular process and operation to act as a particular output for, and c) sending the output to a particular target signal or substance through the neutral network. A method for processing a signal and a substance, comprising: 2. The method of claim 1, wherein the self-assembly operator is DNA-based. 3. A) programming a particular input algorithm with a self-organizing operator, and b) a programmed operator to generate a field effect phase transformation point in a particular system using the method. Exchanging a particular phase space quantum operator in a neutral network for a particular process and operation to act as a particular output for, and c) sending the output to a particular target signal or substance through the neutral network. A method for processing a signal and a substance, comprising: