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ADV601JS 数据表(PDF) 8 Page - Analog Devices |
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ADV601JS 数据表(HTML) 8 Page - Analog Devices |
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8 / 52 page  ADV601 –8– REV. 0 Table II. ADV601 Typical Quantization of Mallat Data Block Data 1 Mallat Bin Width Reciprocal Bin Blocks Factors Width Factors 39 0x007F 0x0810 40 0x009A 0x06a6 41 0x009A 0x06a6 36 0x00BE 0x0564 33 0x00BE 0x0564 30 0x00E4 0x047e 34 0x00E6 0x0474 35 0x00E6 0x0474 37 0x00E6 0x0474 38 0x00E6 0x0474 31 0x0114 0x03b6 32 0x0114 0x03b6 27 0x0281 0x0199 24 0x0281 0x0199 21 0x0301 0x0155 25 0x0306 0x0153 26 0x0306 0x0153 28 0x0306 0x0153 29 0x0306 0x0153 22 0x03A1 0x011a 23 0x03A1 0x011a 5 0x0A16 0x0066 18 0x0A16 0x0066 12 0x0C1A 0x0055 20 0x0C2E 0x0054 19 0x0C2E 0x0054 17 0x0C2E 0x0054 16 0x0C2E 0x0054 14 0x0E9D 0x0046 13 0x0E9D 0x0046 6 0x1DDC 0x0022 9 0x1DDC 0x0022 3 0x23D5 0x001d 11 0x2410 0x001c 10 0x2410 0x001c 8 0x2410 0x001c 7 0x2410 0x001c 5 0x2B46 0x0018 4 0x2B46 0x0018 0 0xA417 0x0006 2 0xC62B 0x0005 1 0xC62B 0x0005 NOTE 1The Mallat block numbers, Bin Width factors, and Reciprocal Bin Width factors in Table II correspond to the shading per-cent fill) of Mallat blocks in Figure 8. THE RUN LENGTH CODER AND HUFFMAN CODER This block contains two types of entropy coders that achieve mathematically loss-less compression: run-length and Huffman. The run-length coder looks for long strings of zeros and replaces it with short hand symbols. Table III illustrates an example of how compression is possible. The Huffman coder is a digital compressor/decompressor that can be used for compressing any type of digital data. Essentially, an ideal Huffman coder creates a table of the most commonly occurring code sequences (typically zero and small values near zero) and then replaces those codes with some shorthand. The ADV601 employs three fixed Huffman tables; it does not create tables. The filters and the quantizer increase the number of zeros and strings of zeros, which improves the performance of the entropy coders. The higher the selected compression ratio, the more zeros and small value sequences the quantizer needs to generate. The transformed image in Figure 5 shows that the filter bank concentrates zeros and small values in the higher frequency blocks. Encoding vs. Decoding The decoding of compressed video follows the exact path as encoding but in reverse order. There is no need to calculate Bin Widths during decode because the Bin Width is stored in the compressed image during encode. PROGRAMMER’S MODEL A host device configures the ADV601 using the Host I/O Port. The host reads from status registers and writes to control regis- ters through the Host I/O Port. An optional DSP can perform Bin Width calculations for the ADV601. The ADV601 can transfer data from component video statistics registers and receive data for Bin Width registers as a packet I/O using the DSP I/O Port. Table IV illustrates the format used to describe the ADV601’s read and write registers. Table IV. Register Description Conventions Register Name Register Type (Indirect or Direct, Read or Write) and Address Register Functional Description Text Bit [#] or Bit or Bit Field Name and Usage Description Bit Range [High:Low] 0 Action or Indication When Bit Is Cleared (Equals 0) 1 Action or Indication When Bit Is Set (Equals 1) Table III. Uncompressed Versus Compressed Data Using Run-Length Coding 0000000000000000000000000000000000000000000000000000000000000000000(uncompressed) 57 Zeros (Compressed) |
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