MUSIC-algorithm-performance-analysis

数字图像处理 取出高斯噪声的有效方法.通过matlab处理(Digital image processing effective way to remove the Gaussian noise)

说明：  Maximum likelihood Identification system

it is a implementation of a chaotic map.the chaotic map nam is logistic map

In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyPSO) is introduced to improve the performance of the standard particles swarm optimization to achieve better results and avoid stagnation at bad results. This new mechanism is also tested by the same benchmark functions. The results of improved PSO are then compared with those of standard PSO and different published improved PSO (SPSO, PSO-XD, CPSO-S and PSO-P5).

it is matlab code on spectrum sensing in cognitive radio network using matched filter

数字信号处理第三版对应实验的所有matlab程序(Digital signal processing matlab third edition of the corresponding test procedures for all)

Implement the K nearest neighbor algorithm by your own instead of using available software. 2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result. 3. Train the classifier using your training dataset, and test the classifier using your testing dataset. 4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.

protues库文件说明，用于方便查找元器件(protues library description, for easy to find components)

反应扩散方程 捕食者捕食模型HOiing模型2D(Reaction-diffusion equation model of predator prey model HOiing 2D)

matlab中绘制海洋地图以及海岸线的地图的程序(map in the ocean for matlab)