Information processing system using threshold passive modification
Encoding apparatus for color image data with block-by-block individual quantizing or individual encoding of luminosity, structure, and color information
Analog to digital conversion using correlated quantization and collective optimization
Speech processing system using adaptive vector quantization
Method of feature determination and extraction and recognition of voice and apparatus therefore
Encoding apparatus for compressing and outputting image data
Method and device for coding the energy of a vocal signal in vocoders with very low throughput rates
Neuram: neural network with ram
ApplicationNo. 094468 filed on 07/20/1993
US Classes:706/28, Modular706/20, Classification or recognition706/25, Learning method706/29, Lattice706/41Digital neural network
ExaminersPrimary: Davis, George B.
Attorney, Agent or Firm
International ClassG06F 015/18
AbstractAn integrated circuit lattice chip for computation of dynamic programming (DP) recursions uses identical nodal processor units arranged in regular lattice form. Interconnections between processor units on the chip are programmable using non-volatile EEPROM connections. The nodal processor units have computing element for generating a distance metric representative of the difference between the ith and jth elements of the unknown and prototype vectors that is combined with a maximum partial or minimum cumulative distance metric of preselected set of lower order nodal processors to produce an optimal (maximum or minimum) cumulative distance value for unknown and prototype vector elements with indices equal to or less than (i, j). A network is also provided for identifying the optimal path through the lattice for use in designing a DP classification system.