• Matlab Program For Uniform Quantization Encoding Video For Windows 7
• Matlab Program For Uniform Quantization Encoding Video Software

• The Scalar Quantizer block has three modes of operation. In Encoder mode, the block maps each input value to a quantization region by comparing the input value to the quantizer boundary points defined in the Boundary points parameter. The block outputs the index of the associated region. In Decoder mode, the block.
• The type of quantization in which the quantization levels are unequal and mostly the relation between them is logarithmic, is termed as a Non-uniform Quantization. There are two types of uniform quantization. They are Mid-Rise type and Mid-Tread type. The following figures represent the two types of uniform quantization. Figure 1 shows the mid.

The quantization Q of a real-world value V is represented by a weighted sum of bits. Within the context of the general slope and bias encoding scheme, the value of an unsigned fixed-point quantity is given.

Matlab Program For Uniform Quantization Encoding Video For Windows 7

Note The Scalar Quantizer block is still supported but is likely to be obsoleted in a future release. We strongly recommend replacing this block with the block or the block. The Scalar Quantizer block has three modes of operation. Bagpipe abc files lotro gold.

In Encoder mode, the block maps each input value to a quantization region by comparing the input value to the quantizer boundary points defined in the Boundary points parameter. The block outputs the index of the associated region.

In Decoder mode, the block transforms the input index values into quantized output values, defined in the Codebook parameter. In the Encoder and Decoder mode, the block performs both the encoding and decoding operations. The block outputs the index values and the quantized output values. You can select how you want to enter the Boundary points and/or Codebook values using the Source of quantizer parameters. When you select Specify via dialog, type the parameters into the block parameters dialog box.

Select Input ports, and port B and/or C appears on the block. In Encoder and Encoder and decoder mode, the input to port B is used as the Boundary points. In Decoder and Encoder and decoder mode, the input to port C is used as the Codebook. In Encoder and Encoder and decoder mode, the Boundary points are the values used to break up the input signal into regions. Each region is specified by an index number. When your first boundary point is -inf and your last boundary point is inf, your quantizer is unbounded.

When your first and last boundary point is finite, your quantizer is bounded. When only your first or last boundary point is -inf or inf, your quantizer is semi-bounded. For instance, when your input signal ranges from 0 to 11, you can create a bounded quantizer using the following boundary points.inf 0 2 5.5 7.1 10 inf When your input signal has values less than 0, these values would be assigned to index 0. When your input signal has values greater than 10, these values would be assigned to index 6. When an input value is the same as a boundary point, the Tie-breaking rule parameter defines the index to which the value is assigned. When you want the input value to be assigned to the lower index value, select Choose the lower index.

To assign the input value with the higher index, select Choose the higher index. In Decoder and Encoder and decoder mode, the Codebook is a vector of quantized output values that correspond to each index value. In Encoder and Encoder and decoder mode, the Searching method determines how the appropriate quantizer index is found. Select Linear and the Scalar Quantizer block compares the input value to the first region defined by the first two boundary points. When the input value does not fall within this region, the block then compares the input value to the next region.

Matlab Program For Uniform Quantization Encoding Video Software

This process continues until the input value is determined to be within a region and is associated with the appropriate index value. The computational cost of this process is of the order P, where P is the number of boundary points. Select Binary for the Searching method and the block compares the input value to the middle value of the boundary points vector. When the input value is larger than this boundary point, the block discards the boundary points that are lower than this middle value.

The block then compares the input value to the middle boundary point of the new range, defined by the remaining boundary points. This process continues until the input value is associated with the appropriate index value.

The computational cost of this process is of the order log 2 P, where P is the number of boundary points. In most cases, the Binary option is faster than the Linear option. In Decoder mode, the input to this block is a vector of index values, where 0 ≤ index. Data Type Support In Encoder mode, the input data values and the boundary points can be the input to the block at ports U and B. Similarly, in Encoder and decoder mode, the codebook values can also be the input to the block at port C. The data type of the input data values, boundary points, and codebook values can be double, single, uint8, uint16, uint32, int8, int16, or int32.

In Decoder mode, the input to the block can be the index values and the codebook values. The data type of the index input to the block at port Idx can be uint8, uint16, uint32, int8, int16, or int32. The data type of the codebook values can be double, single, uint8, uint16, uint32, int8, int16, or int32. In Encoder mode, the output of the block is the index values. In Encoder and decoder mode, the output can also include the quantized output values and the quantization error. In Encoder and Encoder and decoder mode, use the Output index data type parameter to specify the data type of the index output from the block at port Idx. The data type of the index output can be uint8, uint16, uint32, int8, int16, or int32.

The data type of the quantized output and the quantization error can be double, single, uint8, uint16, uint32, int8, int16, or int32. In Decoder mode, the output of the block is the quantized output values. Use the Output data type parameter to specify the data type of the quantized output values. The data type can be double, single, uint8, uint16, uint32, int8, int16, int32. Quantizer mode Specify Encoder, Decoder, or Encoder and decoder as a mode of operation.

Source of quantizer parameters Choose Specify via dialog to type the parameters into the block parameters dialog box. Select Input ports to specify the parameters using the block's input ports. In Encoder and Encoder and decoder mode, input the Boundary points using port B. In Decoder and Encoder and decoder mode, input the Codebook values using port C.

Boundary points Enter a vector of values that represent the boundary points of the quantizer regions. Codebook Enter a vector of quantized output values that correspond to each index value. Searching method Select Linear and the block finds the region in which the input value is located using a linear search. Select Binary and the block finds the region in which the input value is located using a binary search.

Tie-breaking rule Set this parameter to determine the behavior of the block when the input value is the same as the boundary point. When you select Choose the lower index, the input value is assigned to lower index value.

When you select Choose the higher index, the value is assigned to the higher index. Action for out of range input Choose the block's behavior when an input index value is out of range, where 0 ≤ index.