36.912-1

OFDM仿真包括同步、信道估计、峰均比控制的相关算法(OFDM simulation, including synchronization, channel estimation, the correlation peak than the control algorithm)

小波包分析频带能量，应用小波包分析爆破震动信号不同频带的能量分布(Wavelet packet analysis band energy)

matlab实用程序百例2 很实用的 对初学者大有裨益(Matlab program the practical example 2 is very useful for beginners greatly )

线性调频信号匹配滤波仿真，给出了正确的相频特性，并对比了源信号与匹配核的幅频，相频特性。(LFM matched filter simulation, the correct phase frequency characteristics, and compares the source signal and the amplitude-frequency matching nuclear, phase frequency characteristics.)

递归法求解整数划分。 整数划分，是指把一个正整数n写成如下形式： n=m1+m2+…+mi （其中mi为正整数，并且1 <= mi <= n），则{m1,m2,...,mi}为n的一个划分。 如果{m1,m2,...,mi}中的最大值不超过m，即max(m1,m2,...,mi)<=m，则称它属于n的一个m划分。这里我们记n的m划分的个数为f(n,m) (Recursive method integer division. Integer division, refers to a positive integer n written as follows: n = m1+m2+ ...+mi (where mi is a positive integer, and 1 < = mi < = n), then {m1, m2, ..., mi} is a division of n. If {m1, m2, ..., mi} does not exceed the maximum value of m, i.e., max (m1, m2, ..., mi) < = m, m n is said that it belongs to a division. Where m is the number of division n our mind is f (n, m) )

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discrete-data l inear filtering problem. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation.)

融合压缩感知与网络编码的多速率与变速率传输(sensing with network coding.)

带约束因子的粒子群算法在电力系统无功优化中的应用(Constrained factor PSO in Reactive Power Optimization)

阵列信号处理DOA估计MUSIC算法 波束形成 capon 线性预测算法性能比较(MUSIC vs Beamformer capon Linear Prediction)

this is basic matlab explanation. i will upload 5documents.