Schilling-Fundamentals-Digital-Signal-Processing-

我上载的最后一个空间数据挖掘的例外点检测程序（共4个）,用matlab编的。(Finally, I uploaded a spatial data mining exception detection procedures (a total of 4), using matlab series.)

说明：  Use of DFT or FFT with Matlab

多径理解2,理解多径对信号的影响 ,(two multi-path understanding, understanding of the multi-path signals and understanding of the multi-path signals,)

统一设定带宽、脉宽、采样率、脉冲重复频率，用Matab产生16个脉冲的LFM，每个脉冲有4个目标（低速，静止，高速，低速），第3个目标的距离、速度与学号有关。前3个目标的幅度相同，第四个目标幅度是前三个的一半。且距离与第2个静止目标相同。 依次做如下处理： 1 脉压 2 脉压后，相邻2脉冲做MTI（即相邻2个脉冲对应相减），产生15个脉冲 3 脉压后，16个脉冲到齐后，做MTD，输出16个多普勒通道 4 对MTD结果做CFAR（恒虚警） (Unified set bandwidth, pulse width, sampling rate, pulse repetition frequency, and produces 16 pulses Matab LFM, with four goals each pulse (low-speed, static, high-speed, low speed), the first three goals of distance, speed and Student ID related. The first three goals of the same magnitude, and the fourth target range is half of the first three. And from the stationary target with the first two the same. Followed by treatment as follows: 1 pulse 2 pulse pressure, the adjacent two pulses do MTI (that is adjacent to two pulses corresponding to the subtraction), resulting in 15 pulse 3 pulse pressure, 16 pulses in attendance after doing MTD, 16 Doppler channel output 4 MTD results do CFAR (CFAR))

基于malab的全搜索算法是H264块匹配中最基本的算法(Based on the malab the full search algorithm is the H264 algorithm for block matching in the most basic)

matlab教程和有关通信仿真的示例以及详细解释，学习通信仿真的可以看看。(matlab tutorials and examples of communication simulation and detailed explanation, learning communication simulation can see.)

信道估计中两种经典算法的对比，MMSE和SVD-MMSE，上传的为验证过的函数程序，自行补充(Channel estimation in two classic algorithms in contrast, the MMSE and SVD-the MMSE, upload function for proven program to complement their own)

说明：  这个源代码实在matlab平台上绘制一个语音序列的语谱图，简单易懂，希望对大家有用！(This source code is a matlab platform voice rendering of the language spectrum sequence, easy-to-understand, useful for all of us hope!)

GPS 软件接收机，非常适合GNSS接收机开发的初学者(GNSS SDR , very useful for beginner)

MATLAB线性神经网络应用实例，共有13个例子。(Linear neural network applications, a total of 13 examples.)