Abstract: Complex adaptive methods for complex information processing employ optimal individual convergence factors for real and imaginary components of the weight vector. For wireless receivers operating on QPSK, a Complex IA-ICA performs better than existing Complex Fast-ICA methods in terms of accuracy and convergence speed, can process such complex signals in time-varying channels, and employs time-varying and time-invariant convergence factors, independent for the real and imaginary components of the system parameters, and provide individual or group system parameter adjustments. Such systems employ the within complex adaptive ICA with individual element adaptation (Complex IA-ICA).

Abstract: An AWG includes a waveform memory providing a digital waveform signal at a sample rate and an arbitrary factor interpolator (AFI) coupled to receive the digital waveform signal or a processed digital waveform signal. A complex mixer for carrier modulation is coupled to the AFI which outputs a complex band pass signal. A DAC is coupled to an output of the complex mixer for receiving the complex band pass signal to provide an analog output signal. A fixed frequency sample clock clocks the DAC to provide a fixed DAC sample rate. The DAC provides a data clock signal to a sample request controller that generates a sample request signal that is coupled to the waveform memory for requesting the digital waveform signal from the waveform memory. The interpolated digital signal is sampled at the fixed DAC sample rate independent of the sample rate of digital waveform signal.

Abstract: Methods, system apparatus and devices for classification and recognition that is based on principal component analysis and is implemented in the transform domain using the fast two-dimensional PCA to processes the signal in the transform domain. The signal is represented with a reduced number of coefficients, therefore reducing the storage requirements and computational complexity while yielding high recognition accuracy.

Abstract: Complex adaptive methods for complex information processing employ optimal individual convergence factors for real and imaginary components of the weight vector. For wireless receivers operating on QPSK, a Complex IA-ICA performs better than existing Complex Fast-ICA methods in terms of accuracy and convergence speed, can process such complex signals in time-varying channels, and employs time-varying and time-invariant convergence factors, independent for the real and imaginary components of the system parameters, and provide individual or group system parameter adjustments. Such systems employ the within complex adaptive ICA with individual element adaptation (Complex IA-ICA).

Abstract: A Self-Designing Intelligent Signal Processing System Capable of Evolutional Learning for Classification/Recognition of One and Multidimensional Signals is described which classifies data by an evolutionary learning environment that develops the features and algorithms that are best suited for the recognition problem under consideration. The System adaptively learns what data need to be extracted in order to recognize the given pattern with the least amount of processing. The System decides what features need to be selected for classification and/or recognition to fit a certain structure that leads to the least amount of processing according to the nature of the given data. The System disclosed herein is capable of recognizing an enormously large number of patterns with a high accuracy.

Abstract: A one-way receiving path is connected to the input side of a first phase-shift network which produces signals in phase quadrature at its output side, which is connected to the input side of a second phase-shift network which is conjugate to the first and whose output side is connected to a one-way transmitting path. A two-way transmission path and a balancing impedance are connected to the junction between the phase-shift networks. The arrangement provides a balanced or unbalanced hybrid circuit. Each phase-shift network can comprise a symmetrical polyphase network with cascaded network sections for handling voice frequency signals.

Abstract: A symmetrical polyphase R-C network, in which each section has a resistor serially connected between its input and output and a capacitor connected between the input of one section and the output of an adjacent section, has a second resistor connected in shunt with the output of each section to decrease the passband ripple of the network with negligible effect on the stopband response.