cad

一个用盒计分维法编写的matlab程序可以用来求解曲线得分形维数(box with a scoreboard prepared by the Victoria Law Matlab procedures can be used to solve the curve fractal dimension scores)

扩展卡尔曼滤波(EKF)算法的matlab程序，包括UKF，PF性能的比较，滤波方差的比较(Extended Kalman filter (EKF) algorithm matlab procedures, including UKF, PF performance comparison, filtering variance comparison)

it s for TSP with Simulated Annealing

该应用程序能用来求解高级计量经济学中的核密度估计的窗宽，根据神经元上的一片杂志改编(The application can be used to solve high-level econometric estimation of the nuclear density of the window width, according to neurons in a magazine adaptation)

Notebook for matlab

ZERO CROSSING FILTER TO EXTRACT FEATRE

Biomedical Optics: Principles and Imaging源码(Biomedical Optics: Principles and Imaging )

In a series of papers in recent years new structures for coherent M-PSK (M-ary Phase Shift Keying) receivers were suggested. These include structures for carrier phase detectors for the carrier PLL (Phase Lock Loop), carrier PLL lock detectors, symbol timing error detectors, symbol synchronization PLL lock detectors, carrier and symbol PLL loop filters, and SNR (Signal to Noise Ratio) estimators

单载波频域均衡，迫零算法以及MMSE算法的比较(Single-carrier frequency domain equalizatio，compare zeros and MMSE )

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.