kanglei_v58

案例为利用最有控制原理，实现对机械手转台的最优控制。运用matlab，以及simulink仿真实现。(Case for the use of the most control theory, to achieve optimal control of robotic turntable. Use matlab, simulink simulation, and implementation.)

这是一个随机网络产生模型,可以用它仿真网络进行实验,程序采用matlab 语言编写(This is a random network generation model, the network can use simulation test, the program written by matlab)

linear equation routines in matlab

Simplex algorithm method

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

for creating hsmm mode, you need some initialization code. hsmm initialization code can generate your hsmm model.

介绍了一种代数过完备ICA算法，采用这种方法对混合语言信号进行分解。(Algebraic independent component analysis an approach for separation of overcomplete speech mixtures)

这是一个捷联惯导算法matlab程序。首先读入数据，然后进行解算，其中先使用等效旋转矢量进行姿态计算，再进行速度、位置解算，循环进行直至数据结束。(This is a matlab process of sins.)

FIR与IIR滤波器在DSP上的实现.　　　DSP是利用计算机或专用DSP处理器，以数字形式对信号进行采集、变换、滤波、估值、增强、压缩、识别等处理，以得到符合人们需要的信号形式。FIR(Finite Impulse Response)滤波器：有限长单位冲激响应滤波器，又称为非递归型滤波器，是数字信号处理系统中最基本的元件，它可以在保证任意幅频特性的同时具有严格的线性相频特性，同时其单位抽样响应是有限长的，因而滤波器是稳定的系统。(FIR and IIR filter is implemented on the DSP. DSP is the use of a computer or a dedicated DSP processor in digital form to the signal acquisition, conversion, filtering, valuation, enhancement, compression, recognition processing needs of the people to give signal form. FIR (Finite Impulse Response) filter: finite impulse response filter units, also known as non-recursive filters, digital signal processing system is the most basic element, it can guarantee any amplitude-frequency characteristics of both a strict linear phase-frequency characteristics, while the unit sampling response is of finite length, and thus the filter is stable system.)

Design of Filters using GUI (The code provides the user friendly GUI usage in filter design)