Abstract: A transmission module is provided that includes a transmitter, a loopback receiver, and a QEC controller. The QEC controller identifies quadrature imbalance in the transmitter based at least one a comparison of the data signals at the output of the loopback receiver with data signals at the input of the transmitter. Based on the comparison, the QEC controller can adjust one or more characteristics of the transmitter to correct quadrature errors in the transmitter.

Abstract: Transmitter noise cancellation may be applied on a channel by channel basis to active channels of an incoming radio frequency signal received at a receiver. A noise cancellation filter may be provided for each active channel in a predetermined signal band. Applying noise cancellation on a per active channel basis instead of to the entire receive band may substantially reduce the filtering requirement and number of filter coefficients or taps to save power and reduce manufacturing costs. Channelized transmitter noise cancellers, multi transmitter-receiver cross coupling cancellers, and hybrid full signal band and channelized transmitter noise cancellers are also provided.

Abstract: Transmitter noise cancellation may be applied on a channel by channel basis to active channels of an incoming radio frequency signal received at a receiver. A noise cancellation filter may be provided for each active channel in a predetermined signal band. Applying noise cancellation on a per active channel basis instead of to the entire receive band may substantially reduce the filtering requirement and number of filter coefficients or taps to save power and reduce manufacturing costs. Channelized transmitter noise cancellers, multi transmitter-receiver cross coupling cancellers, and hybrid full signal band and channelized transmitter noise cancellers are also provided.

Abstract: Transmitter noise cancellation may be applied on a channel by channel basis to active channels of an incoming radio frequency signal received at a receiver. A noise cancellation filter may be provided for each active channel in a predetermined signal band. Applying noise cancellation on a per active channel basis instead of to the entire receive band may substantially reduce the filtering requirement and number of filter coefficients or taps to save power and reduce manufacturing costs. Channelized transmitter noise cancellers, multi transmitter-receiver cross coupling cancellers, and hybrid full signal band and channelized transmitter noise cancellers are also provided.

Abstract: A transmission module is provided that includes a transmitter, a loopback receiver, and a QEC controller. The QEC controller identifies quadrature imbalance in the transmitter based at least one a comparison of the data signals at the output of the loopback receiver with data signals at the input of the transmitter. Based on the comparison, the QEC controller can adjust one or more characteristics of the transmitter to correct quadrature errors in the transmitter.

Abstract: Transmitter noise cancellation may be applied on a channel by channel basis to active channels of an incoming radio frequency signal received at a receiver. A noise cancellation filter may be provided for each active channel in a predetermined signal band. Applying noise cancellation on a per active channel basis instead of to the entire receive band may substantially reduce the filtering requirement and number of filter coefficients or taps to save power and reduce manufacturing costs. Channelized transmitter noise cancellers, multi transmitter-receiver cross coupling cancellers, and hybrid full signal band and channelized transmitter noise cancellers are also provided.

Abstract: An approach to signal conversion adapts the signal conversion process, for example, by adapting or configuring signal conversion circuitry, according to inferred characteristics (e.g., probability distribution of value) of a signal being converted. As an example, an analog-to-digital converter (ADC) may be adapted so that its accuracy varies across the range of possible input signal values in such a way that on average the digital signal provides a higher accuracy than had the accuracy remained fixed. In another example, models (and corresponding inference circuitry) of both an input signal process and of a quantization process are used to improve signal conversion accuracy.

Abstract: A method for adaptively learning a sparse impulse response (100) of a continuous channel to which an input signal (x(t)) is applied and which delivers an output signal (y(t)), comprising the following steps: low-pass filtering the input signal and the output signal and obtain a filtered input signal (xF(t)) and a filtered output signal (yF(t)) sampling the filtered input signal and the filtered output signal with a sampling rate below the Nyquist rate and obtaining a sampled input signal (xS(t)) and a sampled output signal (yS(t)) retrieving from the sampled input signal (xS(t)) and the sampled output signal (yS(t)) an estimate (400) of the sparse impulse response (100) of the continuous channel.

Abstract: An approach to signal conversion adapts the signal conversion process, for example, by adapting or configuring signal conversion circuitry, according to inferred characteristics (e.g., probability distribution of value) of a signal being converted. As an example, an analog-to-digital converter (ADC) may be adapted so that its accuracy varies across the range of possible input signal values in such a way that on average the digital signal provides a higher accuracy than had the accuracy remained fixed. In another example, models (and corresponding inference circuitry) of both an input signal process and of a quantization process are used to improve signal conversion accuracy.

Abstract: A method for adaptively learning a sparse impulse response (100) of a continuous channel to which an input signal (x (t)) is applied and which delivers an output signal (y(t)), comprising the following steps: low-pass filtering the input signal and the output signal and obtain a filtered input signal (xF(t)) and a filtered output signal (yF(t)) sampling the filtered input signal and the filtered output signal with a sampling rate below the Nyquist rate and obtaining a sampled input signal (xS(t)) and a sampled output signal (yS(t)) retrieving from the sampled input signal (xS(t)) and the sampled output signal (yS(t)) an estimate (400) of the sparse impulse response (100) of the continuous channel. This method can be applied in CDMA channels, in acoustic room context, in ultra-wideband ranging and line echo cancellation problems, in transmission systems for optical fibres, in body scan devices, to name a few.

Abstract: The proportioner (10) has a variable speed controlled DC motor (12) having a gearbox (14) and crankshaft (16) at either end which are connected to reciprocating piston pumps (18). The outputs (18a) of the two pumps (18) are fed to a manifold (22) where the pressure of each output is measured. The user sets a setpoint pressure (e.g. 1000 psi) and the controller (26) then compares the pressures of the two components and controls the higher of the two relative to the setpoint. Ratio assurance is monitored by continuing to look at both output pressures. If one side falls below a predetermined percentage of the setpoint (50% in the preferred embodiment), an alarm may be raised or operation stopped.

Abstract: A work station suitable for use as a mixing station for paints includes a table with a hood mounted over the back edge of the table. Back and side walls of the table lead up to the hood. A downwardly sloping transparent panel extends over the front portion of the table so that materials being handled can be viewed from above while gaseous contaminants emitted by those materials are captured by the transparent cover and a vacuum applied to the hood.