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写一个MATLAB程序，实现4个时间同步的CDMA用户的仿真，其中每个用户都使用长度为L=31的不同的Gold序列。每个用户都采用它们代表的Gold序列的二进制（+-1）调制。每个用户的接收端将这个复合的CDMA接收信号相关，而这个复合的信号都在它们各自的序列上受到AWGN的污损（基于按码片相加）。在N=10000信息比特下，仿真估值并画出作为SNR的函数的CDMA通信系统的差错概率。(Write a MATLAB program, the realization of the four time synchronization of the simulation of CDMA users, including the length of each user for use of the L = 31 different Gold sequences. They are used for each user on behalf of the Gold sequence of binary (+-1) modulation. Each user' s receiver will receive the composite CDMA signal, and this composite signal in the sequence of their respective defaced by the AWGN (additive based on the chip by). Information in the N = 10000 bits, the simulation value and draw as a function of SNR of the CDMA communication system the probability of error.)

It is great model of one part of engine diesel model. This particular file contains model of intake manifold.

相控阵直角坐标与极坐标先的方向图,可以调节字体与线条大小(Phased array Cartesian coordinates and polar coordinates before the pattern)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

Pulse shaping code for Matlab. This module use a square root raised cosine (SRRC) pulse.

说明：  侦察无人机搭载SAR设备对运动目标进行跟踪侦察的路径规划。(The path planning of tracking and reconnoitering the moving target with SAR equipment.)

Article about fault location using matlab

本书是关于PN512的天线设计方法,主要是关于天线匹配设计(This book is about the antenna design PN512 of)

通过N个独立的正弦函数叠加来产生窄带噪声(Narrow Noise Generation from N sine function)

说明：  三弯矩插值法 lagrange多项式插值 多项式最小二乘法 龙贝格积分法 分段线性插值 三转角插值 这些是数值分析中常用的集中经典方法，运用matlab展示出来！(three polynomial interpolation Hangzhou least squares polynomial interpolation Romberg integration subparagraph Line sex angle interpolation three interpolation these numerical analysis is commonly used in concentrated classical methods, and use Matlab show!)