tamrin1

覆盖了全书的信号与线性系统、随机过程、模拟调制、模拟数字转换、基带数字传输、带限信道的数字传输、载波调制的数字传输、信道容量和编码、扩频通信系统以及数字调制方法的SIMULINK仿真的 源代码(Book covers the signal and linear systems, stochastic processes, analog modulation, analog-to-digital conversion, base-band digital transmission, band-limited digital transmission channel, the digital transmission carrier modulation, channel capacity and coding, spread spectrum communication systems, and digital modulation SIMULINK simulation method source code)

计算水平地震作用的一个算例，适合初学者,希望对大家有所帮做。(it s so useful for fressman. )

In This Matlab Code we Use RLS Method To identify Any System Transfer Function, RLS is based of Recursive Least Squre Algorithm is very important method in System Identification.

精通MATLAB参考源码第九章，喜欢MATLAB和神经网络的可以好好学习下，绝对的好资源！(Chapter IX proficient MATLAB reference source, like MATLAB and neural networks can learn, the absolute good resource!)

ADVANCED MOUSE POINTER CONTROL USING TRAJECTORY

费诺码在MATLAB条件下的实现，可按概率降序排列的码字，求出码长及编码时间等功能 ((Fenaux code in MATLAB to achieve under the conditions, in descending order according to the probability of the code word, find time to code length and coding functions ()

WLAN设备的传播损耗计算模型，主要是指以下：Devasirvatham模型，也称为线性路径衰减模型，可用于各种建筑材料2.4G电磁穿透损耗的经验衰减因子模型信号的穿透损耗在这个阶段。(Both WLAN propagation loss calculation model is mainly refer to the following: Devasirvatham model, also known as a linear path attenuation model, the attenuation factor model signal penetration loss at this stage are available for a variety of building materials 2.4G electromagnetic penetration loss experience.)

MATLAB code that do the following NOT,AND,OR,NOR,XOR,NAND operation,Image dilation and erosion(binary and gray image),Image closing and opening(binary and gray image),Boundary detection e)Image thinning and thickening(binary and gray image),Skeletonizing

使用MATLAB实现运动目标检测，用的是背景差分法(moving detection by matlab)

Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial importance to human visual perception. Also, this code does have an effective way of determining threshold levels automatically. (Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial importance to human visual perception. Also, this code does have an effective way of determining threshold levels automatically.)