DYZ

This program plots spectrograms (vertical slices of intensities versus frequencies, with slices plotted against time).

这是一本研究目标定位跟踪的学习手册（在雷达，声纳，无线传感器网络领域等），采用的方法有最小二乘/极大似然，卡尔曼滤波，蒙特卡洛，粒子滤波等方法，更是很多读者需要的是里面有大量的仿真实例和程序代码，并配以中文注释，读者可以结合书中的原理和公式，对程序有进一步的理解。也适合很多读者在已有的代码的基础上对算法进行改进。(This is a study targeting the learning manual tracking (radar, sonar, wireless sensor networks, etc.), using the least squares method/maximum likelihood, Kalman filtering, Monte Carlo, particle filtering methods , but many readers need is there are a large number of simulation examples and program code, and with Chinese notes, the book the reader can combine the principles and formulas, a better understanding of the program. Also suitable for many readers on the basis of the existing code to improve the algorithm.)

1、 降噪步骤： （1） 一维信号的小波分解。选择一个小波并确定分解的层次，然后进行分解运算。 （2） 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。 （3） 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。 matlab里面有关于去噪的函数，你可以找一下~~ 这说的只是基本原理，希望有所帮助(1, noise reduction steps: (1) one-dimensional signal wavelet decomposition. Select a wavelet decomposition level and determining, and then divide the operation. (2) high coefficient wavelet thresholding. For each decomposition scales have high coefficient selection threshold soft threshold quantization. (3) one-dimensional wavelet reconstruction. According to the lowest level of the low frequency wavelet coefficients and high frequency coefficients of each one-dimensional wavelet reconstruction. There are about denoising matlab function, you can find some ~ ~ This says just the basic principle, we hope to help)

RBF of high order fundamental solution of 3D Helmholtz operator

基于susan、hirrs方法的角点检测程序、采用matlab编程，易于阅读。(Corner Detectio)

Comparison of performance for 2-PPM and 2-PAM under two pulse shapes, Gaussian Pulse and Hermit Pulse with Three scenarios are considered (5, 20, and50 users).

对智能小车的路径进行合理的规划，使得其俺预想的方式前进(Smart little path to be reasonable planning and made their way forward anticipated)

基于DSB算法的调制与解调技术，在simulink平台的仿真实现(DSB modulation and demodulation techniques based algorithm, implemented in the simulation platform simulink)

周期图法在雷达信号处理、目标检测、以及目标跟踪中有重要作用。他的主要特点为从噪声中将所需要的周期信号的特征以功率谱的形式表征出来，通过设置合适的阈值可以代表目标。调频信号则是典型的脉冲压缩信号，其扩频特性使得其不易受噪声干扰。(Periodogram in radar signal processing, target detection, and target tracking plays an important role. His main characteristics will be required from the noise characteristics of periodic signals in the form of the power spectrum characterized it, by setting the appropriate threshold may represent the target. FM signal is a typical pulse compression signal, the spreading characteristics make it less susceptible to noise interference.)

Far field of rectangular piston transducer