zhexian_xinlaiyu

前向链路的信道路径仿真 为通信事业做出点小小事情(Forward link channel simulation for the communications path to point the cause of small things)

该文档介绍了空域、频域图像增强的基本内容，并包含MATLAB程序(This document describes the spatial frequency domain image enhancement of the basic content and contains the MATLAB program)

直流电机调速的matlab实现框图，方便易懂，值得参考。(Matlab block diagram of the DC motor speed control, easy to understand, it is also useful.)

MATLAB自带的15种小波基的实现方法，附说明(MATLAB built-in 15 kinds of wavelet implementation)

对声音信号进行处理的matlab仿真，可以用于水声信号(Right audio signal processing matlab simulation can be used for underwater acoustic signal)

说明：  一片详细介绍adaboost进行目标识别的文章。采用MSTAR数据库作为数据来源，非常经典的adaboost实现(A detailed article adaboost target recognition. MSTAR database as the data source used, to achieve a very classic adaboost)

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. )

Softmax 函数处理，softmax 用于 Deep Learning 后的分类器的实现与识别，此函数的参数经过优化，有较强的泛化能力和性能(Softmax function processing, softmax classifier Deep Learning for the realization and recognition, the parameters of this function is optimized, there is a strong generalization ability and performance)

heat conversion and fare calculator for simulink

QPSK调制与解调，低通滤波器采用了时域和频域两种实现方式，截止频率fc = 200hz,采样频率fs= 1000hz,欢迎下载参考！(QPSK modulation and demodulation, using a low-pass filter with a time domain and frequency domain implemented way, the cutoff frequency fc = 200hz, the sampling frequency fs = 1000hz.Welcome to download !)