Deskt32op

神经网络模式识别及其实现源代码，包括 1 第3、4、6、8、9、10章代码 2 详细说明(Neural network pattern recognition and realization of the source code, including 1 3,4,6,8,9,10 Code Chapter 2 details)

一个matlab扩频通信系统simulink仿真系统从发送端到接收到各个部分(A spread spectrum communication system matlab simulation system simulink Send ended to receive from the various parts of)

实例：指定坐标轴范围 实例：绘制不同函数曲线的用户界面 上传了这些实例,大家参考!(Example: the scope of the designated axes Example: Draw different curves of the user interface From these examples, refer to everyone!)

偏最小二乘法,适用于输入变量的变量提取等(Partial least-squares method, applied to the input variable variable extraction)

说明：  基于牛顿拉夫逊法的 ieee14节点配电网算例PQ分解法潮流计算,含原始数据和计算结果。(Based on the Newton Raphson method, the power flow calculation of the ieee14-node distribution network by the PQ decomposition method, including the original data and the calculation results.)

Considered a 16QAM communication system. The information rate is 2 Mb/s and the carrier frequency is 12 GHz. Assumed perfect synchronization. a) Simulated the system if the channel is AWGN and draw bit error rate of the system versus Eb/No. Compare the results with what you obtain in theory. b) Considered (15,11) Hamming code. Apply this code into the above system. Compare the results with what you obtain in theory. c) Simulated uncoded system if we have a Doppler Spread due to mobile movement in the channel. Simulate and draw the bit error rate of the system for maximum mobile speed 42.3 Km/Hour. No equalizer is used in the system. d) Applied coding of part (b) into the system of part (c). Simulate the system and discuss the results. e) Designed an interleaver for the system of part (d) to improve the coded performance results. Simulated the system.

利用DCT域进行扩频水印的嵌入,含实验图像，和各种经典的攻击方式。可选择嵌入强度和攻击强度。利用Matlab编写(DCT domain using spread-spectrum watermark embedding, with the experimental images, and various classical attacks. The option embedded in the strength and intensity of attacks. Prepared using Matlab)

信号分析与处理，matlab语言及应用。(Signal analysis and processing, matlab language and application.)

this is the chenvese programme which can help to do the segmentation

Wavelet-based statistical signal processing using hidden markov models