Abstract: Provided herein are anti-CCR8 antibodies or antigen binding fragment thereof, which bind to CCR8, wherein the CCR8 is a human CCR8 and the antibody does not bind human CCR4. The anti-CCR8 antibodies or antigen binding fragment of the disclosure are useful for the treatment of cancer diseases through the elimination of regulatory T cells. Also provided herein are methods of use for the anti-CCR8 antibodies or antigen binding fragment thereof.

Abstract: A device includes a projection and camera system to create an augmented reality environment in which images are projected onto a scene and user movement within the scene is captured. The projection and camera system have a camera to image scattered IR light from the scene and compute time of flight values used in depth mapping of objects in the room. The system also has a projector to project the images onto the scene. The system controls the camera and projector mounted in a moveable head of a lamp with a motor mounted elsewhere in the lamp. In one implementation, the motor is mounted in the base of a table lamp.

Abstract: A device includes a projection and camera system to create an augmented reality environment in which images are projected onto a scene and user movement within the scene is captured. The projection and camera system have a camera to image scattered IR light from the scene and compute time of flight values used in depth mapping of objects in the room. The system also has a projector to project the images onto the scene. The system controls the camera and projector mounted in a moveable head of a lamp with a motor mounted elsewhere in the lamp. In one implementation, the motor is mounted in the base of a table lamp.

Abstract: A receiver in which computation is simplified can be obtained by using a common factor for filter coefficients of FIR filters corresponding to a plurality of transmitting antennas and by using only the middle column of an inverse matrix of a gain matrix when the common factor is computed.

Abstract: A method of performing data equalization in a communication receiver with transmit and receive diversity includes (a) for each i-th receiver antenna and j-th transmitter antenna, calculating a channel response matrix Hi,j from multi-path channel estimates, (b) each i-th receiver antenna, calculating a channel gain matrix Gi from the channel response matrices Hi,j and a scalar noise factor ?, (c) calculating the middle column c0 of Gi?1, (d) calculating a filter coefficient vector wi,j from the middle column c0 of Gi?1 of and the Hermitian transpose Hi,jH of the corresponding channel response matrices Hi,j, (e) filtering input data ri received at each i-th receiver antenna with the corresponding filter coefficient vectors wi,j, (f) despreading the filtered input data from each i-th receiver antenna, (g) applying phase compensation to the despread data, and (h) combining the despread data from all antennas to obtain received equalized data.

Abstract: A method of performing data equalisation in a communication receiver with transmit and receive diversity includes (a) for each i-th receiver antenna and j-th transmitter antenna, calculating a channel response matrix Hi,j from multi-path channel estimates, (b) each i-th receiver antenna, calculating a channel gain matrix Gi from the channel response matrices Hi,j and a scalar noise factor ?, (c) calculating the middle column c0 of Gi?1, (d) calculating a filter coefficient vector wi,j from the middle column c0 of Gi?1 and the Hermitian transpose Hi,jH of the corresponding channel response matrices Hi,j, (e) filtering input data ri received at each i-th receiver antenna with the corresponding filter coefficient vectors wi,j, (f) despreading the filtered input data from each i-th receiver antenna, (g) applying phase compensation to the despread data, and (h) combining the despread data from all antennas to obtain received equalised data.

Abstract: A method of performing data equalization in a communication receiver with transmit and receive diversity includes (a) for each i-th receiver antenna and j-th transmitter antenna, calculating a channel response matrix Hi,j from multi-path channel estimates, (b) each i-th receiver antenna, calculating a channel gain matrix Gi from the channel response matrices Hi,j and a scalar noise factor ?, (c) calculating the middle column c0 of Gi?1, (d) calculating a filter coefficient vector wi,j from the middle column c0 of Gi?1 of and the Hermitian transpose Hi,jH of the corresponding channel response matrices Hi,j, (e) filtering input data ri received at each i-th receiver antenna with the corresponding filter coefficient vectors wi,j, (f) despreading the filtered input data from each i-th receiver antenna, (g) applying phase compensation to the despread data, arid (h) combining the despread data from all antennas to obtain received equalized data.

Abstract: A receiver in which computation is simplified can be obtained by using a common factor for filter coefficients of FIR filters corresponding to a plurality of transmitting antennas and by using only the middle column of an inverse matrix of a gain matrix when the common factor is computed.

Abstract: A cell search method for use in a mobile communication system, the method including: performing one or more identification steps for identifying timing and codes of oversampled input signals; and reducing the resolution of the oversampled input signals before performing the one or more identification steps.