Input entries in the range are first quantized according to this subdivision of the input range, and then mapped to one of 2 n integers. The input range is divided into 2 n evenly spaced intervals. This encoding adheres to the definition for uniform encoding specified in ITU-T Recommendation G.701. Algorithms uencode maps the floating-point input value to an integer value determined by the requirement for 2 n levels of quantization. The integer type of the output depends on the number of quantization levels 2 n and the value of 'SignFlag', which can be one of the following. La cimbali s39 barsystem manual transmission. MathWorks is the leading developer of mathematical computing software for engineers and scientists. Image Compression Using DCT Implementing Matlab. 1D DCT b) 2D DCT 4) DCT Matrix 5) Quantization 6).
Input entries outside this range are saturated. Y = uencode(u,n,v, 'SignFlag') maps entries in a multidimensional array of floating-point numbers u whose entries have values in the range to an integer output y.
For input entries greater than v, the value of the output of uencode is 2 n – 1.For input entries less than - v, the value of the output of uencode is 0.Elements of the input u outside of the range are treated as overflows and are saturated. The elements of the output y are unsigned integers with magnitudes in the range. The output y and the input u are arrays of the same size. Inputs can be real or complex, double- or single-precision. N must be an integer between 2 and 32 (inclusive). Description y = uencode(u,n) quantizes the entries in a multidimensional array of floating-point numbers u and encodes them as integers using 2 n-level quantization.
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