CS493105-CLZR Allicdata Electronics
Allicdata Part #:

CS493105-CLZR-ND

Manufacturer Part#:

CS493105-CLZR

Price: $ 0.00
Product Category:

Integrated Circuits (ICs)

Manufacturer: Cirrus Logic Inc.
Short Description: IC DECODER AUD MULTI STD 44-PLCC
More Detail: Audio Decoder IC MP3 Players, Portable Media Playe...
DataSheet: CS493105-CLZR datasheetCS493105-CLZR Datasheet/PDF
Quantity: 1000
Lead Free Status / RoHS Status: Lead free / RoHS Compliant
Moisture Sensitivity Level (MSL): 2 (1 Year)
Stock 1000Can Ship Immediately
Specifications
Series: --
Packaging: Tape & Reel (TR) 
Lead Free Status / RoHS Status: --
Part Status: Obsolete
Moisture Sensitivity Level (MSL): --
Type: Audio Decoder
Applications: MP3 Players, Portable Media Players
Voltage - Supply, Analog: 2.37 V ~ 2.63 V
Voltage - Supply, Digital: 2.37 V ~ 2.63 V
Mounting Type: Surface Mount
Package / Case: 44-LCC (J-Lead)
Supplier Device Package: 44-PLCC
Base Part Number: CS493105
Description

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Encoders, Decoders, Converters

CS493105-CLZR is an adaptive coding and decoding technology, which is applied in various fields. It is based on a combination of adaptive arithmetic coding, bitstream reordering, progressive muxing and coding, a reliable channel coding technology, and scalable coding and decoding complexity reduction technologies.

Adaptive Arithmetic Coding

The Adaptive Arithmetic Coding technique works by assigning a probability to each bit of data that is to be encoded. When encoding a frame of data, each bit of data is assigned a probability. The probability is based on the previous bit(s) and the current bit. Based on these probabilities, for each bit, a certain number of bits is generated. The encoder then computes the optimal sequence of bits based on the probabilities and encodes the data.

Bitstream Reordering

A bitstream reordering technique allows for a reduction in the overall size of the coded bitstream. It works by predicting certain data patterns and ordering bits of data based on these patterns. By doing this, the sequence of data is more efficiently compressed and fewer bits are required to represent the same information.

Progressive Muxing and Coding

Progressive muxing and coding is a technique that allows for a reduction in the size of the coded bitstream. It works by dividing a frame of data into multiple segments, each containing a different type of data. Each of these segments is then encoded and muxed together to create a single bitstream. This allows for a more efficient organisation of the data, which reduces the overall size of the coded bitstream.

Reliable Channel Coding Technology

The CS493105-CLZR is an error correcting coding technique, which works by detecting errors in the data and correcting them. It works by using multiple parity bits for each bit of data. The parity bits are then used to detect errors and generate a correction code to fix the errors. This technique allows for a more reliable transmission of data and reduces the amount of data that is lost due to transmission errors.

Scalable Coding and Decoding Complexity Reduction Technologies

The CS493105-CLZR also incorporates a scalable coding and decoding complexity reduction technology. This technology works by using a range of coding techniques from very simple techniques to more complex techniques. By using a scalable coding and decoding technology, the coding and decoding process is more efficient, resulting in a reduction in the computational complexity of the process.

Conclusion

The CS493105-CLZR is an adaptive coding and decoding technology, which is applied in various fields. It is based on a combination of adaptive arithmetic coding, bitstream reordering, progressive muxing and coding, a reliable channel coding technology, and scalable coding and decoding complexity reduction technologies. This technology allows for a more efficient organisation of data, which reduces the overall size of the coded bitstream. It also allows for a more reliable transmission of data and reduces the amount of data that is lost due to transmission errors. In addition, it reduces the computational complexity of the coding and decoding process.

The specific data is subject to PDF, and the above content is for reference

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