adaptive transform coding - significado y definición. Qué es adaptive transform coding
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Qué (quién) es adaptive transform coding - definición

Adaptive modulation; Adaptive modulation and coding; Adaptive modulation and error coding; Adaptive modulation scheme; Modulation and coding scheme; Modulation and Coding Scheme; Adaptive coding and modulation

Link adaptation         
Link adaptation, comprising adaptive coding and modulation (ACM) and others (such as Power Control), is a term used in wireless communications to denote the matching of the modulation, coding and other signal and protocol parameters to the conditions on the radio link (e.g.
Z-transform         
MATHEMATICAL TRANSFORM WHICH CONVERTS SIGNALS FROM THE TIME DOMAIN TO THE FREQUENCY DOMAIN
Z transform; Laurent transform; Bilateral Z-transform; Bilateral z-transform; Z Transform; Z-domain; Z-transformation
In mathematics and signal processing, the Z-transform converts a discrete-time signal, which is a sequence of real or complex numbers, into a complex frequency-domain (z-domain or z-plane) representation.
Adaptive Huffman coding         
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  • Slide_And_Increment(internal node) sliding step 4. Now the 'P' points to the former parent ( as in the case of internal node according to algorithm)
  • Slide_And_Increment(internal node) sliding starts. P is an internal node.
  • Slide_And_Increment(internal node) sliding step 3. Now we increase the weight to 9. Thus the '''''invariant is maintained''''' as the current node is an internal node and should occur in front of leaf nodes of equal weight as we have increased the weight.
  • Slide_And_Increment(internal node) sliding step 2. Node P slides in front of next block of leaves nodes, with weight wt+1.
  • Slide_And_Increment(leaf node) sliding step 4. Method comes to an end. P is the new parent.
  • Slide_And_Increment(leaf node) sliding starts. P is a leaf node.
  • Slide_And_Increment(leaf node) sliding step 3. Here we increase the current weight by 1.
  • Slide_And_Increment(leaf node) sliding step 2. As P is leaf node, it slides in front of next block nodes of equal weight.
ADAPTIVE CODING TECHNIQUE
Adaptive Hufman coding; Dynamic Huffman coding; Algorithm V; Vitter's algorithm; Vitter algorithm; Algorithm FGK; FGK; FGK algorithm; Adaptive huffman coding
Adaptive Huffman coding (also called Dynamic Huffman coding) is an adaptive coding technique based on Huffman coding. It permits building the code as the symbols are being transmitted, having no initial knowledge of source distribution, that allows one-pass encoding and adaptation to changing conditions in data.

Wikipedia

Link adaptation

Link adaptation, comprising adaptive coding and modulation (ACM) and others (such as Power Control), is a term used in wireless communications to denote the matching of the modulation, coding and other signal and protocol parameters to the conditions on the radio link (e.g. the pathloss, the interference due to signals coming from other transmitters, the sensitivity of the receiver, the available transmitter power margin, etc.). For example, WiMAX uses a rate adaptation algorithm that adapts the modulation and coding scheme (MCS) according to the quality of the radio channel, and thus the bit rate and robustness of data transmission. The process of link adaptation is a dynamic one and the signal and protocol parameters change as the radio link conditions change—for example in High-Speed Downlink Packet Access (HSDPA) in Universal Mobile Telecommunications System (UMTS) this can take place every 2 ms.

Adaptive modulation systems invariably require some channel state information at the transmitter. This could be acquired in time-division duplex systems by assuming the channel from the transmitter to the receiver is approximately the same as the channel from the receiver to the transmitter. Alternatively, the channel knowledge can also be directly measured at the receiver, and fed back to the transmitter. Adaptive modulation systems improve rate of transmission, and/or bit error rates, by exploiting the channel state information that is present at the transmitter. Especially over fading channels which model wireless propagation environments, adaptive modulation systems exhibit great performance enhancements compared to systems that do not exploit channel knowledge at the transmitter.