matlab

注水算法是根据某种准则，并根据信道状况对发送功率进行自适应分配，通常是信道状况好的时刻，多分配功率，信道差的时候，少分配功率，从而最大化传输速率。本文运用matlab通过对注水算法在mino系统中的三种不同的情况下进行了仿真，比较出在小信噪比时，相同信噪比下利用CSI的功率注水算法获得容量优于未知CSI的平均功率分配算法；相同容量下已知CSI信噪比比未知CSI时的信噪比小3dB.当信噪比增大到一定程度时，功率注水算法所获得的信道容量将收敛到平均功率分配的信道容量。(Water flooding algorithm is based on certain standards, and according to the channel condition to adaptive allocation of sending power, usually is a good moment, channel situation more distribution power, channel is poor, less power distribution, so as to maximize the transmission rate. This paper USES matlab based on water flooding algorithm in Austin system of three different cases are simulated and compared in small SNR, under the same SNR use CSI power allocation algorithm for capacity is superior to the average power allocation algorithm of unknown CSI Same capacity known CSI signal-to-noise ratio than the unknown CSI small signal-to-noise ratio of 3 db. When the signal-to-noise ratio increases to a certain degree, the power allocation algorithm for channel capacity will converge to the average power distribution channel capacity. )

用有限差分法编程求解拉普拉斯方程在网格结点处的值并统计迭代次数(Solving the value of the Laplace equation in a grid junction with the finite difference method and statistical programming iterations)

大学数学实验-清华出版社-姜启源-第5章例题源代码 (Mathematics Experiment-Tsinghua University- Chapter 5 Example )

联合对角化方法，用于对多个矩阵同时进行联合对角化，主要用处是盲源分离。(joint diagonalization method for the same time on a number of joint matrix diagonalization, the main use is Blind Source Separation.)

混沌现象出现于非线性系统中。Matlab模拟了复摆运动行为及混沌现象(Chaotic phenomena in nonlinear systems. Matlab simulation of the compound pendulum movement behavior and chaos phenomena)

Noise and vibration analysis for MDOF system

OFDM的性能仿真，绝对的好资料，在LTE和OFMDA中都有运用。(OFDM-performance simulation, the absolute good information, both in LTE and OFMDA in use.)

Array synthesis of antenna

电磁射线理论的经典教材，通信信道仿真必备(Classic textbook theory of electromagnetic radiation, an essential communication channel simulation)

Neural Networks（神经网络）在Matlab中的应用(Neural Networks (neural networks) applications in Matlab)