A hybrid multi-layer method for decomposing of a source signal to a plurality of decomposed signals that can be used to collectively represent the source signal or recover the source signal. An example embodiment is a method that includes multi-layer (or multi-stage) signal decomposition to generate constant envelope signals without impact on the original signal. In an example embodiment, the method includes signal decomposition to maintain constant envelope properties and limit bandwidth expansion from the signal decomposition. The method includes decomposing a source signal into two first-stage decomposed signals that each have a constant envelope amplitude value. The method further includes iteratively decomposing each of the constant envelope signals into further-stage decomposed signals based on a threshold amplitude value at each iteration. The further-stage decomposed signals have a constant envelope with an envelope amplitude value in dependence of the threshold amplitude value at each iteration.

Time-varying input signals are denoised by a neural network. The neural network learns features associated with noise added to reference signals. The neural network recognizes features of noisy time-varying input signals mixed with the noise that at least partially match at least some of the features associated with the noise. The neural network predicts denoised time-varying output signals that correspond to the time-varying input signals based on the recognized features of the noisy time-varying input signals that at least partially match at least some of the features associated with the noise.

Methods and systems are described for jointly processing multiple sectors in a wireless communication network. In one aspect, a first antenna serving a first sector is associated with a second antenna serving a second sector for joint processing. First and second antenna data is received. A plurality of wireless users associated with at least one of the first or second antenna data to model for channel estimation is determined, including an interfering wireless user connected via a third antenna serving a third sector not currently being jointly processed with the first or second antenna data. Channel estimates are determined for the plurality of wireless users. The first and second antenna data is jointly processed. Interference from the wireless user connected via a third antenna is suppressed based on a determined corresponding channel estimate for the wireless user and other received information for the wireless user.

The application relates to a receiving device for a communication system, where the receiving device includes a receiver configured to receive a Multiple-Input and Multiple-Output (MIMO) communication signal including a plurality of transmit symbols belonging to at least one complex-valued symbol constellation, a processing circuit configured to affine-transform the at least one complex-valued symbol constellation to obtain at least one affine-transformed complex-valued symbol constellation, compute a decision metric; based on the at least one affine-transformed complex-valued symbol constellation, detect the transmit symbols based on the computed decision metric.

A wireless apparatus configured to be cascaded to another wireless apparatus through a transmission path and to be coupled to an antenna multiplexer, the another wireless apparatus being coupled to the antenna multiplexer, the wireless apparatus includes a processor configured to specify a first time length for a first transmission signal having a first frequency band to pass through the wireless apparatus, specify a second time length for a second transmission signal having a second frequency band to pass through the wireless apparatus, the transmission path, and the another wireless apparatus, specify a difference between the first time length and the second time length, delay the second transmission signal by the specified difference, generate a cancellation signal for an intermodulation distortion that occurs in a received signal due to intermodulation between the first transmission signal and the second transmission signal, and combine the cancellation signal with the received signal.

A method for reducing electromagnetic interference (EMI) in a system that periodically operates with a fixed sampling frequency includes reading a digital signal to which an analog signal received from a sensor is converted, generating a time delay that is modulated each cycle of the fixed sampling frequency with software, starting to execute a digital signal processing algorithm by applying the time delay that is modulated, and transmitting to another device through write of the digital signal. Accordingly, the EMI spectrum is spread through the time delay that is modulated with software, resulting in reduced EMI level.

Methods and systems are described for jointly processing multiple sectors in a wireless communication network. In one aspect, a first antenna serving a first sector is associated with a second antenna serving a second sector for joint processing. First and second antenna data is received. A plurality of wireless users associated with at least one of the first or second antenna data to model for channel estimation is determined, including an interfering wireless user connected via a third antenna serving a third sector not currently being jointly processed with the first or second antenna data. Channel estimates are determined for the plurality of wireless users. The first and second antenna data is jointly processed. Interference from the wireless user connected via a third antenna is suppressed based on a determined corresponding channel estimate for the wireless user and other received information for the wireless user.

A base station includes a channel estimator, a scheduler, and a controller. The channel estimator estimates a channel matrix with respect to each of a plurality of terminals. The scheduler determines a transmission weight corresponding to each of the plurality of terminals on the basis of the channel matrix that is estimated by the channel estimator such that the transmission weight is orthogonal to a current channel matrix and a past channel matrix of a terminal that is a subject of interference. The controller controls, when the transmission weight is determined by the scheduler, the number of samples of the current channel matrix and the past channel matrix to which the transmission weight is to be orthogonal with respect to each of the terminals.

A base station includes a channel estimator, a scheduler, and a controller. The channel estimator estimates a channel matrix with respect to each of a plurality of terminals. The scheduler determines a transmission weight corresponding to each of the plurality of terminals on the basis of the channel matrix that is estimated by the channel estimator such that the transmission weight is orthogonal to a current channel matrix and a past channel matrix of a terminal that is a subject of interference. The controller controls, when the transmission weight is determined by the scheduler, the number of samples of the current channel matrix and the past channel matrix to which the transmission weight is to be orthogonal with respect to each of the terminals.

Binary forward error correcting (FEC) encoding is applied to a stream of input bits, to generate a stream of coded bits. The coded bits are mapped to multiple binary streams. In some embodiments, at least one coded bit is mapped to more than one of the binary streams and none of the binary streams are identical to each other. Stream-specific modulations are applied to the binary streams. Non-binary FEC encoding could be applied after the stream-specific modulations.