9414v06_Image_Proc_Toolbox

water mark needs other m-file

GAUSS滤波器 MATLAB语言 本科毕业设计需要(GAUSS filter)

计算机网络数据链路选择性重传实验。 　　设计一个滑动窗口协议，在仿真环境下编程实现有噪音信道环境下两站点之间无差错双工通信。信道模型为8000bps 全双工卫星信道，信道传播时延270毫秒，信道误码率为，信道提供字节流传输服务，网络层分组长度固定为256字节。(Computer network data link selective retransmission experiment. Design of a sliding window protocol in simulation programming environment there is no error duplex communication channel between the noisy environment the two sites. Channel model is 8000bps full-duplex satellite channel, the channel propagation delay 270 ms, channel bit error rate, channel provides a byte stream transmission services, network layer packet length is fixed at 256 bytes.)

交错网格---非均匀介质二维声波方程(一阶压力--速度)、2阶时间差分、2阶空间差分精度(Staggered grid- heterogeneous medium two-dimensional acoustic wave equation (first-order pressure- speed), 2 order time difference, space 2 order difference accuracy)

用于计算L_curve的计算程序，也包含了奇异值分解的部分程序段(it is used for the calculate the L-Curve)

Simulates DBPSK modulation.

信号与系统MATLAB仿真实验讲义，很适合初学者，理论与实践相结合才是最好的学习方法(Signals and Systems Lecture MATLAB simulations, it is suitable for beginners, combining theory and practice is the best way of learning)

传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)

使用遗传算法对BP网络权值阈值进行优化，再用BP算法训练网络的代码，文本格式的(bp propoganda and genetic algorithm)

OP37的一个资料。欢迎大家看看OP37的一个资料。欢迎大家看看