Matlab-Maze-procedure

这是本人夏季学期的课程设计：模拟信号数字化滤波处理的计算仿真-Chebyshev I型低通滤波，对模拟信号进行数字化滤波处理。根据数字滤波器的性能指标，计算出Chebyshev1型低通IIR数字滤波器的系统函数，画出数字滤波器的频率响应曲线，给出Chebyshev1型低通IIR数字滤波器的设计结果。(This is my summer semester of the curriculum design: analog signal processing digital simulation filtering-Chebyshev I-type low-pass filtering, on the analog signal to digital filter processing. Digital filter in accordance with performance indicators, calculated Chebyshev1-type low-pass IIR digital filter systems function, to draw the digital filter frequency response curve, give Chebyshev1 type low-pass IIR digital filter design.)

说明：  matlab科学计算继续上传，一共10个章节，由浅入深，几乎包括了绝大部分的科学计算方法以及仿真。本人把部分算法做了优化，更为完善(matlab scientific computing continue to upload a total of 10 chapters, easy-to-digest, almost, including most of the scientific method of calculation and simulation. I have done a part of algorithm optimization, a more perfect)

工程经济串讲，关于工程经济自考的资料，对正在自考的人也许有用，所以上传上来啦！(Engineering Economic Chuanjiang, with regard to engineering economy Zikao information on the person being Zikao may be useful, so upload the Laila!)

resonators IT IS A MATLAB CODE FOR CAVITY RESONATOR IN SPHERICAL CAVITY

数模资料。现在是聚类专题。这个是Cluster-FCM。刚刚运行完交的作业。(Digital to analog data. It is thematic clusters. This is the Cluster-FCM. Just finished running post jobs.)

adaptive control tutorial第二章习题程序(chapter 2 of adaptive control tutorial)

this function perform vector quantization on image by using matlab program ..

本代码是容量限制交通分配的代码。但是不通过完整的OD表进行配流，而是针对组成OD表的逐一起始点、终点的基础数据进行配流。路权是取的BFR函数，加了距离惩罚函数。(This code is the capacity limit traffic assignment code. But not through the complete OD table assignment, but for each table consisting OD initial, end with the underlying data stream. Right of way is to take the BFR functions, plus a distance penalty function.)

用matlab读取一个语音信号，对其进行变调，回音灯各种处理的设计报告，含代码与仿真图(Reads a speech signal with matlab, its tone, design reports echo lamp various treatments, including code and simulation map)

利用matalb初学深度学习的代码，这是这个系列的第第2章的源码(Using MATALB to learn the code for in-depth learning, this is the source code for Chapter 2 of this series.)