fit2

主要解决96年的捕鱼模型，利用matlab的M文件计算出结果(Mainly to solve the 96-year fishing model, using the matlab file to calculate the results of M)

说明：  DS-CDMA直序扩频通信系统仿真源码，内部含有程序的详细中文解释以及word形势，系统大家下载~(DS-CDMA Direct Sequence Spread Spectrum Communication System Simulation source code, the internal procedures in detail with the Chinese to explain the situation and the word, the system you download ~)

图像处理程序集 (Image processing assembly )

详细介绍了利用等纹波设计和凯泽窗法设计FIR滤波器的方法，并进行了仿真，并对纹波系数和衰减进行了比较(Details of the method of utilization ripple design and Kaiser window FIR filter design, and simulation, and the ripple factor and attenuation compared)

一个用matlab GUI制作的登录界面，包括输入用户名和密码，点击确定即可登录界面；(it is for a system of a user use password to go to the system)

说明：  有用的matlab源，大家看一下是否有用啦。或许对你有帮助哦。(Matlab useful source, we look at whether it is useful to you. May be helpful to you, oh.)

Reed solomon codes manipulation

对matlab的使用就行了简单的介绍，通过该文档熟悉对matlab编程的操作以及在各个方面的应用。(Use of matlab' s a brief introduction on the line through the document familiar to matlab programming in all aspects of operation and applications.)

This model defines the spectrum sensing in cognitive radio applications

根据伪随机序列理论，由混合同余法产生均匀分布的随机数，进而根据中心极限定理来产生高斯噪声。 分析所产生的均匀分布和高斯分布随机信号的均值、方差、自相关等数字特征，估计其概率密度函数并进行分析，估计其功率谱密度并进行分析。说明该高斯噪声是否符合白噪声特性。 对该高斯噪声进行FIR低通滤波，估计输出低通型限带白噪声的功率谱、相关时间等，并结合白噪声通过线性系统相关理论来进行分析。 (According to the theory of pseudo-random sequence, a uniformly distributed random numbers by mixed congruential method to generate Gaussian noise, and then according to the central limit theorem. Produce a uniform distribution of the analysis and the mean of the Gaussian distribution random signals, variance, since the digital characteristics of the correlation, the probability density function is estimated and analyzed, it is estimated that its power spectral density, and analyzed. The Gaussian noise is in line with the characteristics of white noise. FIR low pass filter of the Gaussian noise, the estimated output of low-pass type band-limited white noise power spectrum, time, etc., combined with the white noise to be analyzed by linear system theory.)