Abstract: Apparatus and methods using a first service provider such as a WAN cellular service provider to initiate a communications exchange between a plurality of communications units and a second service provider such as WLAN service provider to provide enhanced communications services to the units has been disclosed and described.

Abstract: In a video processing system (14), a method of detecting and compensating for motion of an image which includes the steps of: detecting a first pixel value, a second pixel value, and a third pixel value, the first pixel value of a first scan line in a first field, the second pixel value of a second scan line in the first field, and the third pixel value in a second field; providing a motion indicator based on the first, second, and third pixel values; selecting a plurality of interpolation coefficients from a memory based on the motion indicator signal; and providing an interpolated color space pixel based on a first color space pixel associated with the first pixel value, a second color space pixel associated with the second pixel value, and based on the plurality of interpolation coefficients.

Abstract: A method and system of identifying text in a handwriting input is provided. The system includes a feature extractor (30) and a classifier (32). The feature extractor (30) extracts a plurality of features from handwriting input. The classifier (32) classifies the handwriting input according to a discriminant function that is based on a polynomial expansion. The text is identified according to the discriminant function output.

Abstract: A system for controlling the movement of at least one limb of a person's body includes an interface unit in communication with the person's body for receiving an input signal. A polynomial processor generates a control signal as a polynomial function of the at least one input signal. A generator generates a functional electrical stimulation signal. A plurality of electrodes stimulates the movement of the at least one limb by introducing the functional electrical stimulation signal to the at least one of a plurality of inactive muscles.

Abstract: A pixel map signal is converted into a coefficient signal of block coefficient signals, each representing the pixels in a pixel map block (420) with the coefficients in a hybrid polynomial. The hybrid polynomial contains discrete cosine terms, a constant term separated from the discrete cosine terms, and polynomial terms. Each block coefficient signal contains a background component representing a coefficient of the constant term, a linear component representing the coefficients of a the polynomial terms, and a nonlinear component representing the coefficients of the discrete cosine terms. The background component represents constant, unchanging pixel values in a pixel map block (420), the linear component represents linearly changing pixel values in a pixel map block (420), and the nonlinear component represents nonlinear patterns in a pixel map block (420).

Abstract: A pixel map signal is separated into block signals, each representing pixels in a pixel map block (420) in a pixel map (410). The blocks signals each contain an overlap component having pixel values representing pixels contained both by the corresponding pixel map block (420) and an adjacent block. The pixel map signal is compressed by converting the block signals into a coefficient signal of block coefficient signals, each of which represents a pixel map block (420) with the coefficients in a hybrid polynomial. When the pixel map signal is decompressed, the pixel values in the overlap component for each pixel map block (420) are averaged with the pixel values in the overlap component for the adjacent block and replaced by the averaged pixel values in the corresponding pixel map block (420) and the adjacent pixel map block (420).

Abstract: A speech signal is sampled to form a sequence of speech data. The sequence of speech data is segmented into overlapping segments. Speech coefficients are generated by fitting each segment to a nonlinear predictive coding equation. The nonlinear predictive coding equation includes a linear predictive coding equation with linear terms, and additionally includes at least one cross term that is proportional to a product of two or more of the linear terms. If the segment is voiced, a sinusoidal term is included in the nonlinear predictive coding equation and sinusoidal parameters are generated. Otherwise, a noise term is included in the nonlinear predictive coding equation. The speech coefficients, a voiced bit, and, if the segment is voiced, the sinusoidal parameters are included as compressed speech data.

Abstract: A video signal is converted into compressed frame signals, each comprising a coefficient signal of block coefficient signals for each frame in a video image. Each of the block coefficient signals represents the pixels in a pixel map block (420) with the coefficients in a hybrid polynomial. The hybrid polynomial contains discrete cosine terms, a constant term separated from the discrete cosine terms, and polynomial terms extracted from the discrete cosine terms. Each block coefficient signal contains a background component representing a coefficient of the constant term, a linear component representing the coefficients of the polynomial terms, and a nonlinear component representing the coefficients of the discrete cosine terms.