基于bp神经网络的手写体字符识别

tracking using kalman

这个M文件产生了一个以T为周期，来自于经验估计信道的噪声信号，并且仿真了最新的自适应盲均衡恒模算法。(These M-files generate received noisy signals from empirically-measured channels and simulates a blind adaptive equalizer updated with Constant Modulus Algorithm)

运用光谱角法进行岩性填图的matlab代码(Matlab code for lithology mapping using spectral angle method)

Dual-tone Multi-Frequency (DTMF) signalling is used worldwide in modern telephony to dial numbers and configure switchboards. It is the tones that you hear when dialling using a standard touch tone telephone. A DTMF signal consists of the sum of two simultaneous sinusoids - or tones - with frequencies taken from two mutually exclusive groups. These frequencies were chosen to prevent any harmonics from being incorrectly detected by the receiver at some other DTMF frequency. Each pair of tones contains one frequency of the low group (697Hz, 770Hz, 852Hz, 941Hz) and one frequency of the high group (1209Hz, 1336Hz, 1477Hz) and represents a unique symbol. The frequencies allocated to the push-buttons of the telephone pad are shown below:

pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning pid tunning learning

基于k均值的强化学习的状态和动作的选择，可以有效的解决维灾难问题。(q learning with k-means )

一个选择器特效大全的例子：KNMultiItemSelector，IOS编程学习源码，很好的参考资料。(A selector effects Guinness examples: KNMultiItemSelector, learning IOS programming source code, a good reference.)

雷达阵列天线的方向图，有结果截图，适合于初学者(Radar array antenna pattern, with results screenshots, suitable for beginners )

利用matlab GUI实现的串口编程例子，给出接收信号眼图及系统仿真误码率，LDPC码的完整的编译码，阐述了负荷预测的应用研究,是一种双隐层反向传播神经网络，基于负熵最大的独立分量分析，包括最小二乘法、SVM、神经网络、1_k近邻法。

In this IEEE Paper "Visual Cryptography is Solved" in c and MATLAB