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 Datasheet/PDF |
Quantity: | 1000 |
Lead Free Status / RoHS Status: | Lead free / RoHS Compliant |
Moisture Sensitivity Level (MSL): | 2 (1 Year) |
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 |
Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us: sales@allicdata.com
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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