NMEA-0183协议说明(中文)

详细的GPS测量规范，对从业人很有参考价值(GPS measurement of the detailed specifications of great reference value for Practitioners)

Registre universale Permit operaţ ii de deplasare la stâ nga ş i la dreapta, î ncă rcare paralelă , citire serială sau paralelă a datelor. De menţ ionat că aceleaş i operaţ ii se pot realiza ş i cu registrul 7495 prezentat anterior, dar cu conexiuni externe pentru deplasarea la stâ nga.

前不久作三维校园用到的ARCGIS和SKETCHUP结合的一些资料(Not long ago, the campus used for three-dimensional combination of ARCGIS and SKETCHUP some information)

programming Arcobject with vba .one of the best book to learn Arcobject

CMOS在信号接收端的应用，Gilbert混频器的实现(A LINEARIZATION TECHNIQUE FOR RADIO FREQUENCY CMOS GILBERT- TYPE MIXERS)

实现gps无电离层改正和无对流层改正的单点定位 ，精度30m左右(Realize the GPS without ionospheric correction and tropospheric correction of single point positioning, precision about 30 m )

The quality of functional testing of supercomputer application often requires analyzing the interaction of the appli- cation and the underlying architecture. In this report, we incorpo- rate some performance counters in the minMIPS which monitor a variety of processor events such as pipeline stalls,branch predictions and memory access. We fi rst explain how proposed method implemented.We then describe how the performance counters can increase the test coverage for functional testing of the microprocessor.And fi nally we reported the result of both tests results with and with out performance counter.

A 6-DOF simulation has 6 degrees of freedom: three rotations and three translations. Since a vehicle both translates and rotates through the air, two coordinate systems keep track of the vehicle. The first is a known or fixed reference system, referred to here as a local-level coordinate system. The local-level system is a standard, right-hand, three-axis coordinate system with the x-y plane representing the horizontal ground plane the z-axis is positive down.

Fluent VC programmer 2.0 英文说明文件(Fluent VC programmer 2.0 english manual)

说明：  Taming the Complexity of mm-Wave Massive MIMO Systems: Efficient Channel Estimation and Beamforming