LTEtransmitter

说明：  多对象的旋转，实现用户自定义输入各个点的位置，并可以自己修改运动速度，轨迹A,B,C的径长。(more object rotation, user-defined input all points on the location and movement can change their speed, trajectory A, B, C-Path.)

mobility and that can readily coexist with HSPA and earlier networks. OFDM/OFDMA technology is introduced for the LTE downlink, supporting very high data rates of up to 300Mbps while Single-Carrier FDMA (SC-FDMA) is used in the uplink with data rates of 80Mbps possible. Additionally, LTE supports operation both in paired and unpaired spectrum (FDD and TDD) using channel bandwidths of approximately 1.4MHz up to 20MHz. The frequency domain scheduling can be done in OFDMA. One of the main challenges in OFDMA is the high peak-to-average radio of the transmitted signal, which requires linearity in the transmitter. The linear amplifiers have low efficiency therefore, OFDMA is not an optimized solution for a mobile uplink where the

这个是关于无线射频识别室内定位系统的编程框架，如果你想学习室内定位系统的编程，可以参考这个，可能会给你启发(This is about the RFID indoor positioning system, programming framework, if you want to learn programming indoor positioning system, can refer to this, it might give you inspiration)

Implement the following as inlines.

说明：  三层源码构架,vipcard 客户机，服务器，中间层。(san ceng yuan ma gou jia)

说明：  通过matlab实现图像的逆滤波、维纳滤波的方法，效果还不错，很简单(Through matlab image inverse filtering, wiener filtering method, the effect is good, very simple )

系统辨识与自适应控制程序 ，一个很小的.m文件(System identification and adaptive control procedure, a small. M file)

自编求自相关的函数，可以实现不同序列的自相关(zibianqiuzixiangguandehanshu，keyishixianbutongxuliedezixiangguan)

五组在matlab中应用的小程序：（1）carspls and carsplslda，竞争性自适应重加权算法（cars）筛选特征变量，并建立PLS定量或定性模型（2）mcuvepls 蒙特卡罗抽样无关信息消除后，建立PLS定量和定性模型（3）osc，正交信号校正的多变量数据处理方法（4）plot cars-lda-mcs,表征cars-lda-mcs的结果（5）demo 对以上carspls and carsplslda，mcuvepls 方法在matlab中实现举例演示(Five groups codes in matlabapplication: (1) carspls and carsplslda, competitive adaptive re-weighted algorithm (cars) for characteristic variables selection, and the establishment of PLS ​ ​ quantitative or qualitative model (2) mcuvepls， Monte Carlo sampling and the uninformative variables elimination （UVE）， and the establishment of quantitative and qualitative PLS model (3) Orthagnal signal correction（osc）, multivariate data processing method (4) plot cars-lda-mcs, characterization results of cars-lda-mcs (5) the demo about carspls and carsplslda, mcuvepls method implementation in matlab)

Inverse filter with thresshold