Abstract: An audio coding system in which a plurality of quantization methods are selectable for application to components of a streamed audio signal to achieve a target frame size that is determined by comparing an achieved bit rate against a target bit rate. Based on the target frame size, the system calculates a bit allocation for signal components and compares the bit allocation to the dynamic range of the signal components. Depending on the outcome of the comparison, the system may select to quantize or not quantize a signal component. The system employs lossless coding techniques, but is capable of introducing lossy coding by quantization in order to meet the target bit rate.

Abstract: An adaptive controller for a configurable audio coding system comprising a fuzzy logic controller modified to use reinforcement learning to create an intelligent control system. With no knowledge of the external system into which it is placed the audio coding system, under the control of the adaptive controller, is capable of adapting its coding configuration to achieve user set performance goals.

Abstract: An adaptive controller for a configurable audio coding system including a fuzzy logic controller modified to use reinforcement learning to create an intelligent control system. With no knowledge of the external system into which it is placed the audio coding system, under the control of the adaptive controller, is capable of adapting its coding configuration to achieve user set performance goals.

Abstract: An adaptive controller for a configurable audio coding system including a fuzzy logic controller modified to use reinforcement learning to create an intelligent control system. With no knowledge of the external system into which it is placed the audio coding system, under the control of the adaptive controller, is capable of adapting its coding configuration to achieve user set performance goals.

Abstract: An adaptive controller for a configurable audio coding system comprising a fuzzy logic controller modified to use reinforcement learning to create an intelligent control system. With no knowledge of the external system into which it is placed the audio coding system, under the control of the adaptive controller, is capable of adapting its coding configuration to achieve user set performance goals.

Abstract: An audio coding system in which a plurality of quantization methods are selectable for application to components of a streamed audio signal to achieve a target frame size that is determined by comparing an achieved bit rate against a target bit rate. Based on the target frame size, the system calculates a bit allocation for signal components and compares the bit allocation to the dynamic range of the signal components. Depending on the outcome of the comparison, the system may select to quantize or not quantize a signal component. The system employs lossless coding techniques, but is capable of introducing lossy coding by quantization in order to meet the target bit rate.

Abstract: Method for diagnosis of autoimmune diseases of the GSE-type or associated with gluten sensitive enteropathy comprising taking a sample and testing the sample for antibodies against human tissue transglutaminase, tissue-specific transglutaminases, or other transglutaminases.