Εισάγετε μια λέξη ή φράση σε οποιαδήποτε γλώσσα 👆
Γλώσσα:
Μετάφραση και ανάλυση λέξεων από τεχνητή νοημοσύνη
Σε αυτήν τη σελίδα μπορείτε να λάβετε μια λεπτομερή ανάλυση μιας λέξης ή μιας φράσης, η οποία δημιουργήθηκε χρησιμοποιώντας το ChatGPT, την καλύτερη τεχνολογία τεχνητής νοημοσύνης μέχρι σήμερα:
- πώς χρησιμοποιείται η λέξη
- συχνότητα χρήσης
- χρησιμοποιείται πιο συχνά στον προφορικό ή γραπτό λόγο
- επιλογές μετάφρασης λέξεων
- παραδείγματα χρήσης (πολλές φράσεις με μετάφραση)
- ετυμολογία
Τι (ποιος) είναι quantization$500624$ - ορισμός
COMPRESSION TECHNIQUE INVOLVED IN IMAGE PROCESSING
Quantization matrix; Quantization matrices; Image quantization; Quantisation matrix; Quantisation matrices
Quantization (music)
STUDIO-SOFTWARE PROCESS OF TRANSFORMING PERFORMED MUSICAL NOTES
Beat quantization
In digital music processing technology, quantization is the studio-software process of transforming performed musical notes, which may have some imprecision due to expressive performance, to an underlying musical representation that eliminates the imprecision. The process results in notes being set on beats and on exact fractions of beats.
Quantization (image processing)
Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum value. When the number of discrete symbols in a given stream is reduced, the stream becomes more compressible.
quantize
WIKIMEDIA DISAMBIGUATION PAGE
Quantized; Quantize; Quantisation; Quantised; Quantizing; Quantise; Quantization step; Quantization stepping; Quantization (disambiguation)
or quantise
¦ verb
1. Physics form into quanta; make subject to quantum theory.
2. Electronics approximate (a continuously varying signal) by one whose amplitude is restricted to prescribed values.
Derivatives
quantization noun
quantizer noun
Βικιπαίδεια
Quantization (image processing)
Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum (discrete) value. When the number of discrete symbols in a given stream is reduced, the stream becomes more compressible. For example, reducing the number of colors required to represent a digital image makes it possible to reduce its file size. Specific applications include DCT data quantization in JPEG and DWT data quantization in JPEG 2000.
