kleinbauer

1、用for和if语句求出供求函数以及稳定时的产量和价格。 2、用多重for循环语句和plot语句画出蛛网模型。 3、制作动画语句。 (1, with for and if statements when you find a stable supply and demand functions and production and prices. 2, with multiple plot statement for loop and draw the cobweb model. 3, animation statements.)

遗传算法的matlab实现的多个实例介绍及实现(The introduction and implementation of multiple instances of matlab implementation of the genetic algorithm)

This Source Code for Image Segmentation and applying the threshold at image

基于矩阵重构的DOA估计算法，包含DSVD算法和ESVD算法(The DOA estimation algorithm including DSVD and ESVD)

说明：  变步长仿射自适应滤波器（VSS-APA）和集员仿射自适应滤波器（SM-APA-U）的MATLAB代码 里面包含两个自适应滤波器的性能分析和评价指标(The matlab code of variable step size affine adaptive filter (vss-apa) and set member affine adaptive filter (sm-apa-u) contains the performance analysis and evaluation indexes of two adaptive filters)

MATLAB实现Kalman滤波，注释详细，对Kalman滤波过程有详尽的解释，是初学者入门进阶的好程序(MATLAB implementation Kalman filtering, detailed notes on the Kalman filtering process has a detailed explanation on entry Advanced beginners are good procedures)

阵列信号处理的波达角方向估计，用于八单元线阵，对多个接受信号的来波方向进行估计(Array signal processing direction of arrival angle estimation, for the eight-cell linear array, to receive signals on a number of DOA estimation)

k mean matlab code for hyper imagery

基于神经网络之中的BP算法的matlab仿真(Based on the BP neural network algorithm matlab simulation)

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)