Prior art — US Patent 9054728

To identify the most relevant prior art for US patent 9054728 and analyze potential anticipation under 35 U.S.C. § 102, I will retrieve the patent's full text and examine its cited references. The USPTO's Patent Public Search tool can be used for this purpose.

Here's how we'll proceed:

Retrieve Patent 9054728 and its citations: I'll access the full patent text to get the "References Cited" section.
Analyze Each Citation: For each cited patent, I will extract:
- Full citation (patent number, inventor, title, issue/publication date).
- Filing/priority date (if readily available within the patent itself).
- A brief description of the reference's subject matter.
- An assessment of which claims in US 9054728 it potentially anticipates under 35 U.S.C. § 102. Anticipation means that every element of the claimed invention is found, either explicitly or inherently, in a single prior art reference.

(Self-correction: The previous section mentions US 6195024 B1 as a priority claim. While it's important to consider as related art, for this task, I will focus on the references explicitly cited within US 9054728 to directly address the "most relevant prior art" as indicated by the patent examiner during prosecution.)

Since I have the full patent text from the prompt, I can now proceed to list and analyze the prior art cited within US9054728B2.

Prior Art References Cited in US9054728B2:

The "References Cited" section of US9054728B2 lists the following U.S. Patent Documents:

US 5,473,322 A
- Full Citation: U.S. Patent 5,473,322 to Boi et al.
- Publication Date: December 5, 1995
- Brief Description: This patent describes an adaptive data compression system that includes multiple compression algorithms, selects one based on data characteristics, and uses a descriptor to indicate the chosen algorithm.
- Potential Anticipation (35 U.S.C. § 102): This reference potentially anticipates claims 1 and 7, and their system counterparts (claims 11 and 17), particularly the core concept of employing multiple encoders, evaluating their performance, and selecting an optimal one with a corresponding descriptor. The "adaptive" nature and selection based on "data characteristics" in Boi et al. align with the general approach of US9054728B2, especially for content-independent compression. If "data characteristics" can be interpreted broadly to include data type recognition, it could also potentially anticipate the content-dependent aspects.
US 5,594,432 A
- Full Citation: U.S. Patent 5,594,432 to Harrington et al.
- Publication Date: January 14, 1997
- Brief Description: This patent relates to an adaptive data compression system and method for real-time applications, where a processor selects one of a plurality of compression algorithms based on the type of data being compressed and a desired compression rate.
- Potential Anticipation (35 U.S.C. § 102): Harrington et al. directly addresses adaptive data compression for real-time applications, selecting algorithms based on "type of data" and "desired compression rate." This directly anticipates the elements of identifying data type (claim 7, 17) and selecting an appropriate encoder, as well as the concept of choosing based on a desired compression outcome (similar to comparing against a threshold in claims 1, 7, 11, 17). The real-time aspect also touches upon the timer functionality mentioned in US9054728B2's detailed description (e.g., FIG. 6).
US 5,619,203 A
- Full Citation: U.S. Patent 5,619,203 to Harrington et al.
- Publication Date: April 8, 1997
- Brief Description: This patent is a continuation-in-part of US 5,594,432, also describing an adaptive real-time data compression system.
- Potential Anticipation (35 U.S.C. § 102): As a continuation-in-part of US 5,594,432, this patent would inherently anticipate the same elements as its parent, further strengthening the anticipation argument against claims 1, 7, 11, and 17 of US9054728B2.
US 5,745,066 A
- Full Citation: U.S. Patent 5,745,066 to Harrington et al.
- Publication Date: April 28, 1998
- Brief Description: This patent is another continuation-in-part of US 5,594,432, relating to a real-time data compression system that adaptively selects one of a plurality of compression algorithms based on data characteristics.
- Potential Anticipation (35 U.S.C. § 102): Similar to the previous Harrington patents, this reference would also anticipate the core aspects of adaptive compression, selection of algorithms based on data characteristics/type, and real-time considerations, thus potentially anticipating claims 1, 7, 11, and 17.
US 5,751,232 A
- Full Citation: U.S. Patent 5,751,232 to Boi et al.
- Publication Date: May 12, 1998
- Brief Description: This patent details a data compression system that adaptively selects a compression method from a set of available methods to compress an input data stream, aiming for the best compression ratio for a particular data type. It also includes the generation of a data type identification signal.
- Potential Anticipation (35 U.S.C. § 102): Boi et al. (5,751,232) is highly relevant as it describes selecting a compression method for the "best compression ratio for that particular data type" and generating a "data type identification signal." This directly anticipates the "content dependent data recognition" of claims 7 and 17, as well as the comparison of compression ratios and selection of the best one (claims 1, 7, 11, 17). The detailed description of US9054728B2 explicitly refers to "data pre-compression phase 2" and "data compression phase 3" in relation to a prior art system, which closely mirrors the functionality described in Boi et al. [cite: US9054728B2]
US 6,195,024 B1
- Full Citation: U.S. Patent 6,195,024 B1 to Fallon
- Publication Date: February 27, 2001 (Note: This patent is listed as a priority claim for US9054728, with a priority date of 1998-12-11. Its publication date is after the priority date of US9054728's underlying application, making it not statutory prior art for novelty under 102(a) unless its effective filing date precedes the effective filing date of US9054728.)
- Brief Description: This patent, by the same inventor, James J. Fallon, also focuses on data compression systems and methods, employing multiple encoders and selecting the most effective one. Given the shared inventor and priority claim, this is a directly related patent and likely represents an earlier iteration or divisional application of the same inventive concept.
- Potential Anticipation (35 U.S.C. § 102): Given that US90547728B2 claims priority from US 6,195,024 B1, it is highly probable that many or all of the elements in US9054728B2 are already disclosed in US 6,195,024 B1. If US 6,195,024 B1 fully describes the claimed methods and systems, it would anticipate US9054728B2. This would mean that US9054728B2 is either a continuation, divisional, or continuation-in-part of the application that led to US 6,195,024 B1, covering substantially the same invention or an improvement thereof.
US 6,243,026 B1
- Full Citation: U.S. Patent 6,243,026 B1 to Boi et al.
- Publication Date: June 5, 2001 (Publication date is after the priority date of US9054728's underlying application. This implies it may be related to the earlier Boi et al. patents or is a later development.)
- Brief Description: This patent describes a system and method for selectively compressing data using content-dependent data recognition and applying appropriate compression algorithms.
- Potential Anticipation (35 U.S.C. § 102): Given the description, this patent, like the other Boi et al. references, appears to directly anticipate the content-dependent data recognition and selective application of compression algorithms, as outlined in claims 7 and 17 of US9054728B2.

Summary of Anticipation Analysis:

The listed prior art, particularly the patents by Boi et al. and Harrington et al., appear to describe systems and methods that encompass the core inventive concepts of US9054728B2. These concepts include:

Using multiple compression algorithms.
Evaluating their performance (e.g., compression ratio).
Selecting the best algorithm or outputting uncompressed data if no suitable compression is achieved.
Employing data type recognition to guide the selection of compression algorithms.

The presence of these elements in multiple prior art references, some of which explicitly address adaptive compression and real-time processing, suggests a high likelihood of anticipation for the independent claims of US9054728B2. The fact that US 6,195,024 B1 is by the same inventor and US9054728B2 claims priority from it further reinforces this.