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说明：  超宽带无线电信号码元simulink仿真(Ultra-wideband wireless telecommunications numbers per simulink simulation)

Here is a project about Optimization lesson at Master of Science in Turkey. Fibonacci and Golden Ratio techniques are executed.

雷达目标检测 多干扰环境CA和GO的发现概率随SNR变化曲线 成功(Radar target detection probability of finding multiple interference environment with CA and GO SNR curve of success)

指纹识别算法的matlab程序，用的算法是gabor滤波器(matlab program of fingerprint recognition algorithm , using the algorithm of gabor filter)

matlab 有关于解决tsp 问题的 程序 (tsp matlab to solve the problem on the procedures)

Power flow studies, commonly known as load flow, form an important part of power system analysis. They are necessary for planning, economic scheduling and control of an existing system as well as planning its future expansion. The problem consists of determining the magnitudes and phase angle of voltages at each bus and active and reactive power flow in each line. In solving power flow problem, the system is assumed to be operating under balanced conditions and a single-phase model is used. Four quantities are assumed at each bus. These are voltage magnitude v, phase angle  , real power P, and reactive power Q.The Newton Raphson method of load flow analysis is an iterative method which approximates the set of non-linear simultaneous equations to a set of linear simultaneous equations using Taylor’s series expansion and the terms are limited to first order approximation.

matlab环境下编写的一维激波管问题，用Hll格式和Roe格式求解黎曼问题(matlab environment prepared by the one-dimensional shock tube problem with Hll formats and Roe scheme for solving the Riemann problem)

说明：  一个双向LSTM程序 Long Short Term 网络—— 一般就叫做 LSTM ——是一种 RNN 特殊的类型，可以学习长期依赖信息。LSTM 由Hochreiter & Schmidhuber (1997)提出，并在近期被Alex Graves进行了改良和推广。在很多问题，LSTM 都取得相当巨大的成功，并得到了广泛的使用。 LSTM 通过刻意的设计来避免长期依赖问题。记住长期的信息在实践中是 LSTM 的默认行为，而非需要付出很大代价才能获得的能力！ 所有 RNN 都具有一种重复神经网络模块的链式的形式。在标准的 RNN 中，这个重复的模块只有一个非常简单的结构，例如一个 tanh 层。(A bidirectional LSTM program Long short term network, commonly known as LSTM, is a special type of RNN that can learn long-term dependent information. LSTM was proposed by Hochreiter & schmidhuber (1997) and recently improved and promoted by Alex graves. In many problems, LSTM has achieved great success and has been widely used. LSTM is designed to avoid long-term dependency. Remember that long-term information is the default behavior of LSTM in practice, not the ability to acquire it at a great cost! All RNNs have a chained form of repetitive neural network modules. In the standard RNN, this repetitive module has only a very simple structure, such as a tanh layer.)

《深入浅出MATLAB7.X混合编程》主要讲了MATLAB与其他应用软件的接口，并附有实例源码(" Easy to understand MATLAB7.X hybrid programming," say the main MATLAB interface with other applications, together with examples of source)

自已编的一个matlab的harris角点检测的代码(Their own for a matlab the harris corner detection code)