Loading...
Please wait, while we are loading the content...
Similar Documents
Video data compression using artificial neural network differential vector quantization
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Krishnamurthy, Ashok K. Ahalt, Stanley C. Bibyk, Steven B. |
| Copyright Year | 1991 |
| Description | An artificial neural network vector quantizer is developed for use in data compression applications such as Digital Video. Differential Vector Quantization is used to preserve edge features, and a new adaptive algorithm, known as Frequency-Sensitive Competitive Learning, is used to develop the vector quantizer codebook. To develop real time performance, a custom Very Large Scale Integration Application Specific Integrated Circuit (VLSI ASIC) is being developed to realize the associative memory functions needed in the vector quantization algorithm. By using vector quantization, the need for Huffman coding can be eliminated, resulting in superior performance against channel bit errors than methods that use variable length codes. |
| File Size | 740586 |
| Page Count | 8 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19920004996 |
| Archival Resource Key | ark:/13960/t2h75b337 |
| Language | English |
| Publisher Date | 1991-11-01 |
| Access Restriction | Open |
| Subject Keyword | Communications And Radar Application Specific Integrated Circuits Algorithms Vector Quantization Neural Nets Coding Bit Error Rate Data Compression Digital Television Machine Learning Very Large Scale Integration Video Data Real Time Operation Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
