wenjianshuzi

在matlab中使用m函数实现简单计算器功能，包括加、减、乘、除。(The use of m in the matlab function realize a simple calculator functions, including add, subtract, multiply, divide.)

说明：  空时自适应滤波，由王永良编著，是学习雷达滤波的一本好书。(Space time adaptive filter)

This code simulates QPSK modulation on base band. This code has been written on Matlab and it will be very useful I think! :)

peec电路电感和互感计算的解析公式，精确解，适用于peec等效电路，分布式电网络(Peec circuit inductance and mutual inductance calculation of analytical formulas, the exact solution, apply to the peec equivalent circuit, a distributed electric network )

关于信息融合的各种算法，以及各种算法的应用。(On information fusion algorithm, and a variety of algorithms.)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

语音信号处理中，基于小波分析的特征提取的源程序，实现效果较好(Speech signal processing, feature extraction based on wavelet analysis source to achieve better)

為jacobi與gauss seidal迭代法 只要把A,b,N更換成你要的即可(To jacobi and gauss seidal iterative method as long as the A, b, N you want to replace)

File panduan BPNN pada matlab

离散时间语音信号处理--原理与应用 相关matlab文件(Discrete-Time Speech Signal Processing:Principles and Practice )