vektorikvantointiin
Vektorikvantointi, also known as vector quantization, is a data compression technique used in digital signal processing and image compression. It is based on the principle of representing a large set of data with a smaller set of representative vectors, called codewords. The process involves mapping input vectors to the nearest codeword in a predefined codebook, which is a collection of codewords.
The vector quantization process typically involves three main steps: training, encoding, and decoding. During the training
Vector quantization is widely used in various applications, including speech and image compression, pattern recognition, and
In summary, vector quantization is a powerful data compression technique that enables efficient representation and transmission