Holoentropy and Multipass HoloDynamic Compression: Steps to a Prototype
To talk about building a prototype that will allow HoloDynamic compression of data one first needs to talk about the concept of Holoentropy. Entropy in physical systems or informational entropy, its analogy in systems based on information(data), is a concept based on structure and the lack of structure. Entropy tends to be a very linear concept with systems at the low end of the scale being highly structured(like a building) and systems at the high end of the system being low in structure(like a gaseous cloud). There is little consideration inherent in this concept as to what happens to systems as one moves along this scale or what happens to the system in time. It is assumed that the same definitions of entropy and structure can be applied no matter where a system is on this scale and what state that system is in at a particular time.In recent years much study has been given to systems of a more "chaotic" nature which I have also talked about in other pages on HoloDynamics. Many studies have shown that there is a whole world of structure in systems of very high entropy. Clearly, one needs to think of the whole idea of structure in systems in a different light. In previous articles I have talked about the ideas of underlying resonances in systems. I have found that there are profound resonance structures underlying data systems which are high in entropy. These resonances are reflected in both the whole system and the data rings that make it up(see "Data Rings in HoloDynamic Compression").
In this way the whole is mirrored in its parts and vice versa. A hologram has this type of structure in that every part of a hologram contains the information contained in the whole image. Rather than talking of these system's structure in terms of classical entropy one can think of their structure in terms of the underlying resonances and talk of the concept of Holoentropy.
Classical data compression works by removing redundancies from a file and reducing it structures. For example, if you had a line which was nothing but the letter "A" one hundred times and replaced it with the phrase "100 A's". You would be expressing the same information is a phrase 7 characters long that took you 100 characters to express before. You accomplish this be removing redundancies and structure from the original data. In other words, classical data compression operates by taking a system from a state of low informational entropy to a state of high informational entropy. Because of this when a system has high informational entropy classical data compression yields very little results. In the article "First Pass Compression of Chaotic Data" I talk about how it possible to still produce data compression in systems of high informational entropy using the concepts of HoloDynamic Compression. This is because HoloDynamic Compression is based on the concept of HoloEntropy and not informational entropy.
Generally classical data compression can only be done for "one pass". The data goes from a state of low informational entropy to high informational entropy and repeating the data compression process yields very little if anything at all. I found this not to be the case for HoloDynamic compression. After the first pass the underlying resonant structure were still intact and therefore the Holoentropy was increased very little. This allowed further HoloDynamic compression of the data. In fact this was the case for many passes. The amount of data compressed in each pass was slight but showed no pattern of decreasing with each additional pass. The only thing that has kept the process from being carried even further is that the amount of compression produced in each pass is slight and the run time for each pass is long.
So how can something practical come of this? In these articles I have talked only of HoloDynamic compression as a compression algortithm and not the decompression side of the process. The decompression side of the process is many thousands of times faster. This yields a type of data compression known as asymmetrical data compression where the compression side takes much more computing cycles than the decompression side. As a practical matter this means that HoloDynamic compression would be useful for data that is compressed once and then only decompressed after that. This would be useful for any data that needed to be archived and retrieved, be it text, video, still images, audio, or binary. The current focus is on archived video.
So what needs to be done to produce such a product? First, the compression algorithm needs to be made more efficient so that it requires less disk accesses and requires fewer computing cycles, secondly a more powerful HoloDynamic compression platform will be needed than the platform currently being used. Then a period of further testing would be needed. Finally a user interface would need to be added for ease of general use by all people.
In December or early 1996 a web site for protoptype development will be established for all who wish to participate in HoloDynamic compression development and/or develop products using HoloDynamic compression or HoloDynamically compressed data. Further information on HoloDynamics and HoloDynamic compression will also be available as development and new insights continue! Come Join Us!
To see some of the other other articles in this series start with HoloDynamic Compression: Mapping Miracles into the Machine
My research into HoloDynamic Compression has led to the general study of HoloDynamics. See Fundamental Concepts of HoloDynamics.
Presentations on HoloDynamic Compression are available if you are visiting Maui or if arrangements can be made for a presentation at your site.
Questions, comments, collaborations, all are welcome with Aloha!
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