location

Function matlab to plot points with more flexibility

基于m序列的DS-CDMA通信系统仿真的调制解调模型(M-sequence-based DS-CDMA communication system simulation model of modulation and demodulation)

用矩阵的奇异值分解法确定ARMA模型的阶次，估计模型参数(ARMA model to determine the matrix of the singular value decomposition of the order, the estimated model parameters)

在一定的约束条件下，其输出与一给定函数（通常称为期望输出）的差的平方达到最小，通过数学运算最终可变为一个托布利兹方程的求解问题。维纳滤波器又被称为最小二乘滤波器或最小平方滤波器，目前是基本的滤波方法之一。维纳滤波是利用平稳随机过程的相关特性和频谱特性对混有噪声的信号进行滤波的方法，1942年美国科学家N.维纳为解决对空射击的控制问题所建立，是40年代在线性滤波理论方面所取得的最重要的成果。(Under some constraint conditions, the output with a given function (often referred to as expected output) the square of the difference between the minimum, through mathematical operation can be turned into a final taub Leeds equation to solve the problem.Wiener filter is also known as least squares filter or least square filter, is now one of the basic filter method.Wiener filtering is to use the related characteristics of stationary random process and spectrum characteristics of mixed with noise signal filtering method, scientists in the United States in 1942 n. wiener established to solve the control problem of empty shooting, is 40 s in the theory of linear filtering is the most important results.)

这个程序对简单LPC-10声码器做了一些改进，使其对浊音的激励变得较强，使用声激励LPC声码器来提高声音的质量。它与简单LPC-10音码器的差异是用激励检测器替换了基音检测器。(This program simply LPC-10 vocoder made some improvements to make them become a strong incentive voiced the use of acoustic excitation LPC vocoder to improve the sound quality. It sounds simple LPC-10 codec difference is replaced with the excitation detector pitch detector.)

基于m序列的DS-CDMA通信系统仿真的调制解调模型(M-sequence-based DS-CDMA communication system simulation model of modulation and demodulation)

Transformada discreta de Fourier

这是关于philips932源码GUI，我平时用的．(This is the source of philips932 GUI, I usually use.)

自适应控制，自校正控制系统参数估计matlab程序，利用递推最小二乘法进行系统参数估计(Adaptive control, self-tuning control system parameters estimated matlab procedures, the use of recursive least squares method for system parameter estimation)

说明：  Language 求已知数据点的拉格朗日插值多项式 Atken 求已知数据点的艾特肯插值多项式 Newton 求已知数据点的均差形式的牛顿插值多项式 Newtonforward 求已知数据点的前向牛顿差分插值多项式 Newtonback 求已知数据点的后向牛顿差分插值多项式 Gauss 求已知数据点的高斯插值多项式 Hermite 求已知数据点的埃尔米特插值多项式 SubHermite 求已知数据点的分段三次埃尔米特插值多项式及其插值点处的值 SecSample 求已知数据点的二次样条插值多项式及其插值点处的值 ThrSample1 求已知数据点的第一类三次样条插值多项式及其插值点处的值 ThrSample2 求已知数据点的第二类三次样条插值多项式及其插值点处的值 ThrSample3 求已知数据点的第三类三次样条插值多项式及其插值点处的值 BSample 求已知数据点的第一类B样条的插值 DCS 用倒差商算法求已知数据点的有理分式形式的插值分式 Neville 用Neville算法求已知数据点的有理分式形式的插值分式 FCZ 用倒差商算法求已知数据点的有理分式形式的插值分式 DL 用双线性插值求已知点的插值 DTL 用二元三点拉格朗日插值求已知点的插值 DH 用分片双三次埃尔米特插值求插值点的z坐标 (chazhi)