Abstract: Provided are a multi-function device for intensive shrimp farming and intensive shrimp farming systems using this device. The system comprises: shrimp ponds (100) with brackish water pumped from rivers or seas then treated with chemicals, sedimentation and micro-organisms; at least one multifunction device (200) to generate water flow, dissolve molecular oxygen, deliver and dispense shrimp feed and provide solution containing minerals, micro-organisms and other additives; pure oxygen supply device (300) capable of generating oxygen from the air to supply oxygen with purity higher than 90% to water in intensive culture pond to achieve consistently higher concentrations of dissolved oxygen saturated dissolved oxygen concentration; a network of porous sheets floats on the water to reduce the diffusion of oxygen molecules from the water to the air; and a network of lights for providing artificial light to change the feeding cycle of shrimp with industrial and natural food.

Abstract: A method of conducting soft combining of at least two received MBMS signals in a user equipment (112) of a radio telecommunications network (100), the method including: demodulating (202) at least a subset of the received MBMS signals; converting (208-1-208-m) a floating point slot data vector to a fixed point slot data vector for each demodulated received MBMS signal; and soft combining (214) the fixed-point slot data vectors derived from at least two of said received MBMS signals.

Abstract: A method for calculating filter coefficients for an equalizer in a communication receiver, the method including the steps of calculating (22) channel response matrices G and H from channel estimation inputs; performing (24) a Cholesky decomposition of the channel response matrix G into a lower triangular matrix L and an upper triangular matrix U; performing (26) forward substitution on the lower triangular matrix L to calculate a column vector d; performing (28) backward substitution on the column vector d and the Hermitian transpose LH of the lower triangular matrix L to calculate a middle column c0 of the inverse G?4 of the channel response matrix G; and calculating (30) the filter coefficients from the middle column c0 of the inverse channel response matrix G?1 and the Hermitian transpose HH of the response matrix H.

Abstract: A device (20) for computing a threshold Sthi used in demodulating a quadrature amplitude modulated (QAM) signal to generate a plurality of soft bits per received symbol for input to a turbo decoder, the device including: means (30) for computing the mean amplitude A of the received symbols and multiplying the mean amplitude A by of the received symbols and multiplying the mean amplitude A by a constant Ci for a square QAM constellation with 4m points, such that Sthi=A×Ci where m is a positive integer and i is a positive integer from 1 to (?4m-1)?1.

Abstract: A method of noise factor computation for a chip equalizer in a spread spectrum receiver, the method including the steps of: computing channel and noise variance estimates for multiple resolvable fading paths of chip signals received at the spread spectrum receiver; computing the sum of power of the channel estimates; estimating the chip energy of the chip signals; and computing the noise factor from the chip energy estimate, channel and noise variance estimates, sum of power of the channel estimates, and spreading factor of the pilot signal.

Abstract: A method for calculating filter coefficients for an equaliser in a communication receiver, the method including the steps of calculating (22) channel response matrices G and H from channel estimation inputs; performing (24) a Cholesky decomposition of the channel response matrix G into a lower triangular matrix L and an upper triangular matrix U; performing (26) forward substitution on the lower triangular matrix L to calculate a column vector d; performing (28) backward substitution on the column vector d and the Hermitian transpose LH of the lower triangular matrix L to calculate a middle column c0 of the inverse G?4 of the channel response matrix G; and calculating (30) the filter coefficients from the middle column c0 of the inverse channel response matrix G?1 and the Hermitian transpose HH of the response matrix H.

Abstract: A method (200) of conducting soft combining of at least two MBMS signals in a user equipment (112) of a radio telecommunications network (100), the method including demodulating at least a subset of the received signals (202); and soft combining at least a MBMS data field from two or more of the demodulated signals into a single MBMS data field prior to de-interleaving the MBMS data fields (208).

Abstract: A method of conducting soft combining of at least two received MBMS signals in a user equipment (112) of a radio telecommunications network (100), the method including: demodulating (202) at least a subset of the received MBMS signals; converting (208-1-208-m) a floating point slot data vector to a fixed point slot data vector for each demodulated received MBMS signal; and soft combining (214) the fixed-point slot data vectors derived from at least two of said received MBMS signals.

Abstract: A method of signalling in a mobile communications network (2) from a base station (10) to a mobile station (12, 14, 16) using Hybrid Automatic Repetition Request (HARQ), the method comprising the steps of: selecting, at the base station, a code that indicates transmission of new data or retransmitted data; providing in the code combinations of redundancy version parameters and/or bit rearrangement parameters; and transmitting the selected code to the mobile station, wherein the selected code has the effect of increasing the number of available combinations or reducing the number of bits required for HARQ signalling.

Abstract: A method of signalling in a mobile communications network (2) from a base station (10) to a mobile station (12, 14, 16) using Hybrid Automatic Repetition Request (HARQ),