The present disclosure relates to a signal processing device and an image display apparatus including the same. A signal processing device according to an embodiment of the present disclosure comprises: a synchronizer configured to perform a Fourier transform based on the received baseband signal; and an equalizer configured to calculate a channel transfer function value, symbol based noise, and subcarrier frequency based noise based on the signal from the synchronizer, and calculate channel state information based on the calculated channel transfer function value, symbol based noise, and subcarrier frequency based noise. As a result, performances for burst noise and narrow band noise can be improved.

Methods, systems, and devices for wireless communications are described. For example, a user equipment (UE) may receive one or more reference signals from a base station. In some examples, the UE may receive the one or more reference signals over a channel for communications between the UE and the base station. The UE may measure a response of the channel based on the one or more reference signals received over the channel. In some examples, the UE may transmit a message indicating a set of channel coefficients. The set of channel coefficients may correspond to a two-dimensional (2D) model representative of the response. In some examples, the 2D model may include a spatial model and a time domain response of the channel.

An efficiently-transformed digital self-interference canceller, preferably including an FD transformer, a TD transformer, a channel estimator, a composer, and a controller. The canceller can optionally include a channel memory, a predictor, and/or an extender. A method for digital self-interference cancelation, preferably including receiving inputs, transforming the inputs, generating outputs based on the transformed inputs, transforming the outputs, and/or generating a cancellation signal based on the outputs.

Methods, systems, and devices for wireless communications are described. A device may receive a set of demodulation reference signals (DMRSs) over a multi-path channel on a set of resources in accordance with a reference signal pattern. The reference signal pattern may be associated with a non-uniform frequency spacing that results in a row-sampled Discrete Fourier Transform (DFT) matrix associated with the reference signal pattern having a lower coherence than other row-sampled DFT matrices. Additionally or alternatively, the device may receive a set of tracking reference signals (TRSs) over the multi-path channel. The set of TRSs may be specific to wide-area terrestrial broadcast services, single frequency network (SFN)-based broadcast services, multimedia broadcast multicast services (MBMSs), or the reference signal pattern. The device may perform channel estimation based on receiving one or both of the set of DMRSs or the set of TRSs over the multi-path channel.

Methods, apparatus, and computer program products for a user equipment receiving CSI-RS and computing channel support information. Based on the CSI, the UE derives tap locations of channel support, depending on the observed channel and used subcarrier spacing. The deriving can additionally be done in relation to power class and window size. The UE apprises a base station of those tap locations of the channel support and also informs the base station of the strongest tap locations, which can be done in various ways comprising a bit mask. Methods, apparatus, and computer program products for a base station to send CSI-RS to a UE for computing CSI feedback. The CSI-RS resources can be for one or multiple transmit receive points. The base station receives back an indication of tap locations and a bit mask and builds information on tap locations by combining that received indication and bit mask.

Computerized wireless transmitter/receiver system that automatically uses combinations of various methods, including transmitting data symbols by weighing or modulating a family of time shifted and frequency shifted waveforms bursts, pilot symbol methods, error detection methods, MIMO methods, and other methods, to automatically determine the structure of a data channel, and automatically compensate for signal distortions caused by various structural aspects of the data channel, as well as changes in channel structure. Often the data channel is a two or three dimensional space in which various wireless transmitters, receivers and signal reflectors are moving. The invention's modulation methods detect locations and speeds of various reflectors and other channel impairments. Error detection schemes, variation of modulation methods, and MIMO techniques further detect and compensate for impairments. The invention can automatically optimize its operational parameters, and produce a deterministic non-fading signal in environments in which other methods would likely degrade.

Techniques for wireless communications are described. A user equipment (UE) may initially configure a set of channel estimation parameters for a set of radio frequency spectrum subbands of a bandwidth part (BWP) of a transmission opportunity (TxOP). In some examples, the UE may identify an unavailable radio frequency spectrum subband within the BWP. Based on the identification, the UE may reconfigure the channel estimation parameters to avoid performing unnecessary channel estimation processes on the unavailable radio frequency spectrum subband. As part of reconfiguring the channel estimation parameters, the UE may set log-likelihood ratio (LLR) values of subcarriers associated with the unavailable radio frequency spectrum subband to a null value, thereby experiencing improvements in efficiency and reliability of channel estimation for the BWP.

Disclosed is an electronic device including a processor and memory, the processor being configured to perform frequency interpolation on a channel estimation at all resource elements (REs) located where a demodulation reference signal is transmitted, perform time interpolation on a frequency domain interpolated channel obtained from the frequency interpolation, and calculate an enhanced channel estimation based on channel estimates at REs in a frequency domain and REs in a time domain, the channel estimates being output from the time interpolation.

This application discloses a channel estimation method and apparatus, and relates to the field of communications technologies, to help reduce indication overheads. The method may include: generating and sending indication information. The indication information is used to indicate K N-dimensional spatial-domain component vectors, L M-dimensional frequency-domain component vectors, and a weight matrix, to indicate to construct an M×N-dimensional spatial-frequency matrix, or an M×N or N×M spatial-frequency matrix.

A method for minimizing a time domain mean square error (MSE) of channel estimation (CE) includes estimating, by a processor, a power delay profile (PDP) from a time domain observation of reference signal (RS) channels; estimating, by the processor, a noise variance of the RS channels; and determining, by the processor, a first arrival path (FAP) value and a delay spread estimation (DSE) value based on the estimated PDP and the estimated noise variance for minimizing the MSE of CE.