A-single-target-echo-simulation

不完全约束绳牵引机器人的运动学动力学编程(kinematic and dynamic programming of the under-restrained cable-driven parallel manipulator)

Software package for fuzzy calculus

神经网络理论与Matlab7电子工业出版社原代码(neural network theory and Matlab7 Electronic Industry Publishing House source)

层次分析法在数学建模中的应用，用matlab解决比较好。(AHP in mathematical modeling matlab solve.)

Keytable for kaiomy Remote Controller.

录制汉语拼音 a1（阴平）的发音。分别提交你所能录制的基音频率最高和最低的两个 录音文件。文件名为: 学号_a_h.wav（高音文件）和学号_a_l.wav（低音文件）。（用MathLab 编程） 1）分别对这两个文件进行观察分析。找出最高和最低基音频率位置，分别显示此时它们的 局部波形和短时频谱（按照最大值为100 归一化显示）。 要求：在时域波形上标出基音周期，并算出数值（精确到一个采样点）。在频域图上标出 基音频率。注意：标出分析波形的起始位置（精确到采样点位置），说明谱分析时所采用 的窗函数。 2）用倒谱分析法，估计语音产生模型的声道传输函数H(w)的模|H(w)|。在1)的频谱图上叠 加显示H(w), （按照最大值为100 归一化显示）。 3）用线性预测分析方法，估计语音产生模型的声道传输函数H( )的模| H( ) |。并在 1) 的频谱图上叠加显示H( ) 。(no no non )

数字滤波器的matlab仿真程序滤波器为fIR型的4阶切比雪夫I型带通滤波器，通带范围为10000—15000Hz，通带左边的阻带的截止频率为8000Hz，通带右边的阻带起始频率是18000Hz，通带最大衰减为1dB，阻带最小衰减为30dB，其采样频率为50000Hz，数据点数为1024个。(Digital filter matlab simulation program)

基于CPLEX和yalmip的PMU优化配置(Optimal PMU placement which is based on CPLEX and yalmip)

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

GUI系统进行图像的类型转换，能够吧图像转换成不同的格式。(GUI system for image conversion, it can convert images into a different format.)