The embodiments described herein are directed at techniques to de-correlate Bluetooth interference seen across WLAN receive antennas/space in a Bluetooth transceiver/WLAN transceiver combination device. A Bluetooth interference whitening technique may be utilized, wherein a whitening matrix is computed based on a leakage signal resulting from a training signal transmitted by the Bluetooth transceiver. The leakage signal may leak in to the WLAN transceiver and a set of attributes is calculated for each frequency the leakage signal is received on. One or more whitening matrixes are calculated based on the set of attributes for each frequency the leakage signal is received on. In response to the WLAN transceiver receiving a signal of interest, an appropriate whitening matrix from the one or more whitening matrixes is selected and is then applied to the received signal of interest to de-correlate any interference generated as a result of the Bluetooth transmission.

The invention is adapted to properly suppress noises of various frequency bands. An input unit (10) includes an acquiring element (11) for periodically acquiring signals from a load cell, so as to obtain time series signals; a plurality of frequency filters (121-123) for filtering the time series signals according to frequencies; and a transfer element (13) for transferring the signal filtered by at least one of the frequency filters (121-123) according to the frequency to a control device (90). The suppressed frequency bands of the frequency filters (121-123) are not repeated.

Joint demodulation of a desired transmission and an interfering transmission received from an interfering cell with an unknown combination of transmission parameters is performed. For each subcarrier, an exhaustive search for the serving cell symbols and projection for the interfering cell symbols is performed for tested hypotheses of the interfering cell, by minimizing a whitened noise parabola for each combination of searched hypothesis and hyper constellation point of the serving cell. A constellation point for the interfering cell that is closest to the minimum point of the parabola is selected, where coefficients of the parabola are calculated once for each subgroup of four modulation types of the interfering cell. A measure of likelihood for each of the tested hypotheses is calculated. A cumulative measure of likelihood for each of the tested hypotheses is calculated, and the most likely hypothesis is selected based on the cumulative measure of likelihood.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a receiving device may receive, in a communication, an indication of a shaping filter to be used with one or more subsequent communications. The receiving device may receive the one or more subsequent communications having the shaping filter applied. Numerous other aspects are described.

Embodiments of the present invention provide a signal receiving method and a receiver. The signal receiving method includes: sequentially preprocessing a received first signal to obtain to-be-processed second signals; generating filtering coefficients for the second signals by converting colored noise of the second signals into white noise; and filtering the corresponding second signals according to the filtering coefficients. Filtering can be performed according to different channel conditions and transmission requirements, thereby improving system performance of the receiver.

Disclosed are a compressive sensing system based on a personalized basis and a method thereof; first a sensing end senses an original signal and transmits the original signal to a reconstruction end; the reconstruction end generates a personalized basis by means of a dictionary learning method; next, the sensing end is made to sample the original signal according to a sampling matrix to generate a compressed signal and transmit the compressed signal to the reconstruction end, so that the reconstruction end executes a compressive sensing reconstruction algorithm according to the personalized basis and the compressed signal to recover the compressed signal into the original signal, thereby achieving an effect of improving signal recovering quality and a compression ratio.

Embodiments of the present invention provide a signal receiving method and a receiver. The signal receiving method includes: sequentially preprocessing a received first signal to obtain to-be-processed second signals; generating filtering coefficients for the second signals by converting colored noise of the second signals into white noise; and filtering the corresponding second signals according to the filtering coefficients. Filtering can be performed according to different channel conditions and transmission requirements, thereby improving system performance of the receiver.

Disclosed are a compressive sensing system based on a personalized basis and a method thereof; first a sensing end senses an original signal and transmits the original signal to a reconstruction end; the reconstruction end generates a personalized basis by means of a dictionary learning method; next, the sensing end is made to sample the original signal according to a sampling matrix to generate a compressed signal and transmit the compressed signal to the reconstruction end, so that the reconstruction end executes a compressive sensing reconstruction algorithm according to the personalized basis and the compressed signal to recover the compressed signal into the original signal, thereby achieving an effect of improving signal recovering quality and a compression ratio.

Systems, methods, and devices reduce and mitigate spurs that may occur in transmit waveforms of wireless communications devices. Methods include beginning transmission of a portion of a data packet from a baseband layer of a wireless communications device, and generating a spur canceling signal based on an estimated magnitude and an estimated phase of a spur signal at identified spur frequencies of a frequency band used for the transmission. Methods also include subtracting the spur canceling signal from the transmission of the portion of the data packet, and generating a transmitted signal based on the subtracting such that the spur canceling signal is subtracted during the transmission of the portion of the data packet.

Systems (100) and methods (200) for impulsive noise detection and mitigation are described. In particular, the system (100) includes a transmitter (102), a communication channel (106), and a receiver (104). The transmitter (102) is configured to encode an input signal, modulate the encoded signal for transmission through the communication channel (106), and transform the modulated signal into a time-domain signal. The communication channel (106) is configured to transmit the time-domain signal and a control signal from the transmitter (102) to a receiver (104). The receiver (104) is configured to transform the time-domain signal into a frequency-domain signal, detect a position of impulsive noise in the frequency-domain signal based at least on identifying a position of null subcarriers in the frequency-domain signal via the control signal, and initiate the suppression of the impulsive noise from the frequency-domain signal.