Hat-and-Vee-Map

递推最小二乘算法递推最小二乘算法递推最小二乘算法递推最小二乘算法递推最小二乘算法递推最小二乘算法递推最小二乘算法递推最小二乘算法(RLS)

The overall objective for LTE is to provide an extremely high performance radio-access technology that offers full vehicular speed 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

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Matlab Based Digital Signal Processing Labs

本科毕设要求参见标准测试模型，多姿态，多角度，有不同光照,各种kalman滤波器的设计，实现了对10个数字音的识别，包含位置式PID算法、积分分离式PID，使用matlab实现智能预测控制算法。( Undergraduate complete set requirements refer to the standard test models, Much posture, multi-angle, have different light, Various kalman filter design, To achieve the recognition of 10 digital sound, It contains positional PID algorithm, integral separate PID, Use matlab intelligent predictive control algorithm.)

这个是集成的小型文档图像透视变形校正的matlab源码(This is a small integrated document image perspective distortion correction matlab source)

使用C++语言编写的FastICA算法，并附带有Matrix类。(Use C++ language FastICA algorithm, together with the Matrix class.)

OKUMURA-HATA MODEL using MATLAB program.

用matlab实现了CDMA系统的RAke接收机，比较最大比合并，等增益合并和选择式合并接收机的性能(Using matlab to achieve a CDMA system RAke receiver, compare maximal ratio combining, equal gain combining and selective merge receiver performance)

增量式PID控制算法Matlab仿真程序 设一被控对象G（s）=50/(0.125s^2+7s),用增量式PID控制算法编写仿真程序（输入分别为单位阶跃、正弦信号，采样时间为1ms，控制器输出限幅：[-5,5],仿真曲线包括系统输出及误差曲线，并加上注释、图例）。(Incremental PID control algorithm Matlab simulation program to set up a controlled object G (s) = 50/(0.125s ^ 2+7s), with incremental PID control algorithm simulation program written (unit step input, respectively, sinusoidal signal sampling time is 1ms, the controller output limiter: [-5,5], including simulation system output and error curve curves, plus notes, legend).)