Abstract: A method includes: A first application on the first electronic device invokes a first function; the first electronic device determines to implement the first function by using the second electronic device; the first electronic device, implements data transmission with the second electronic device by using a first function transceiver module of the first electronic device; and a first function processing module of the first electronic device processes data generated during implementation of the first function, where the first function transceiver module and the first function processing module are disposed at a hardware abstraction layer of the first electronic device.

Abstract: The present invention discloses a method for effectively decomposing mixed wolframite and scheelite ore in an alkaline system, specifically comprising steps of: grinding mixed wolframite and scheelite ore, putting in an autoclave, adding an appropriate amount of water, and then adding sodium phosphate, sodium hydroxide and calcium fluoride for decomposition, and treating by solid-liquid separation to obtain crude sodium tungstate solution. The present invention has the advantage that the high-efficiency decomposition of the mixed wolframite and scheelite ore can be realized with low consumption of leaching agents. By this method, the mixed wolframite and scheelite ore can be directly treated by an existing tungsten smelting autoclave, with low leaching cost, high decomposition rate and easy industrial application.

Abstract: The present invention discloses a method for effectively decomposing mixed wolframite and scheelite ore in an alkaline system, specifically comprising steps of: grinding mixed wolframite and scheelite ore, putting in an autoclave, adding an appropriate amount of water, and then adding sodium phosphate, sodium hydroxide and calcium fluoride for decomposition, and treating by solid-liquid separation to obtain crude sodium tungstate solution. The present invention has the advantage that the high-efficiency decomposition of the mixed wolframite and scheelite ore can be realized with low consumption of leaching agents. By this method, the mixed wolframite and scheelite ore can be directly treated by an existing tungsten smelting autoclave, with low leaching cost, high decomposition rate and easy industrial application.

Abstract: A method for antenna subset selection by joint processing in RF and baseband in a multi-antenna systems. Lt input data streams are generated in a transmitter for either diversity transmission or multiplexing transmission. These streams are modulated to RF signals. These signals are switched to the t branches associated with the t transmit antennas, and a phase-shift transformation is applied to the RF signals by a t×t matrix multiplication operator ?1, whose output are t?Lt RF signals. These signals are transmitted over a channel by t antennas. The transmitted signals are received by r antennas in a receiver. A phase-shift transformation is applied to the r RF signals by a r×r matrix multiplication operator ?2. Lr branches of these phase shifted streams are demodulated and further processed in baseband to recover the input data streams.

Abstract: A source signal transmitted through multiple channels having space, time and frequency diversities to generate multiple received signals is recovered by an iterative associative memory model with dynamic maximum likelihood estimation. A current symbol vector representing the multiple received signals is projected to a net-vector using a linear matrix operation with a weight matrix W. The weight matrix is obtained by a singular value decomposition of an input symbol sequence. The net-vector is mapped to a nearest symbol vector using a non-linear operation with an activation function. The projecting and mapping steps are repeated until the nearest symbol vector converges to a valid symbol vector representing the source signal.

Abstract: A method for antenna subset selection by joint processing in RF and baseband in a multi-antenna systems. Lt input data streams are generated in a transmitter for either diversity transmission or multiplexing transmission. These streams are modulated to RF signals. These signals are switched to the t branches associated with the t transmit antennas, and a phase-shift transformation is applied to the RF signals by a t×t matrix multiplication operator ?1, whose output are t?Lt RF signals. These signals are transmitted over a channel by t antennas. The transmitted signals are received by r antennas in a receiver. A phase-shift transformation is applied to the r RF signals by a r×r matrix multiplication operator ?2. Lr branches of these phase shifted streams are demodulated and further processed in baseband to recover the input data streams.

Abstract: A receiver in a multiple-input-multiple-output, frequency-selective fading wireless communication systems sequentially recovers multiple data stream. A next input stream, having a highest signal-to-noise ratio is selected. The selected input stream is equalized, detected and decoded. The decoded data stream is then substracted from the data streams, and the selecting, equalizing, detecting and decoding, and subtracting is repeated until all of the data streams have been decoded.

Abstract: A source signal transmitted through multiple channels having space, time and frequency diversities to generate multiple received signals is recovered by an iterative associative memory model with dynamic maximum likelihood estimation. A current symbol vector representing the multiple received signals is projected to a net-vector using a linear matrix operation with a weight matrix W. The weight matrix is obtained by a singular value decomposition of an input symbol sequence. The net-vector is mapped to a nearest symbol vector using a non-linear operation with an activation function The projecting and converting steps are repeated until the nearest symbol vector converges to a valid symbol vector representing the source signal.