Turboequalization

对数谱最小均方误差语音增强算法（LSA-MMSE），对加入有音无音判决进一步提高信噪比，消噪效果非常好。适合各种平稳噪声。(right spectrum minimum mean square error speech enhancement algorithm (LSA- MMSE). sound right to a sound judgment without further improve signal-to-noise ratio, denoising effect was very good. For a wide range of stationary noise.)

高斯-赛德尔迭代法求解方程组，通过matlab编程实现。(Gauss-seidel iterative method for solving equations, by matlab programming. )

The disparity map forms the basis of many computer vision techniques. A disparity map is effectively a limited 3D model

MATLAB GUI设计学习手记（第二版）源程序 第8章 本书推荐的学习方法： 1）若您是一个MATLAB初学者，且有充裕的时间来学习GUI设计，您可以从本书的第1章开始循序渐进地学习。 2）若您是一位MATLAB初学者，且时间非常紧迫，建议您先学好第1章，然后依次学习第4章、第5章和第6章，其他章节请根据项目需要有选择性地学习。 3）若您已经掌握了MATLAB的基础语法知识，有一定的MATLAB编程基础，也请浏览一下第1章的内容，尤其是专题分析部分。然后先学习本书第4、5和6章，其他章节请根据项目需要有选择性地学习。 4）若您是一位MATLAB GUI方面的专家或老师，您可以将本书作为一本教学的参考书，本书内容全面、讲解详实、代码精炼，是不可多得的GUI宝典。 (MATLAB GUI design learning Hearts (second edition), Chapter 8 of the book recommended source learning methods: 1) If you are a MATLAB beginners, and there is plenty of time to learn GUI design, you can start from Chapter 1 of the book The step-by-step learning. 2) If you are a MATLAB beginners, and the time is very tight, it is recommended that you first learn to Chapter 1, followed by learning Chapter 4, Chapter 5 and Chapter 6, in other sections based on project needs selective learning . 3) If you have mastered the basic grammar of the MATLAB, the MATLAB Programming Fundamentals, please visit the Chapter 1, in particular thematic analysis section. First learning book chapters 4, 5 and 6, then the other chapters selective learning based on project needs. 4) If you are an expert or teacher of a MATLAB GUI, you can book as a teaching reference books, the book is comprehensive, explain the detailed, refined code, is a rare GUI canon.)

典型的MATLAB编程实现MSK连续功率谱描述，并且绘出相应的离散点的功率谱值……(The typical MATLAB programming the MSK continuous power spectral description, and draw the power spectral values ​ ​ of the corresponding discrete points ......)

目动曝光控制参数的获得方法及控制方法和成像装置--专利(Project AE acquisition method and control method and control parameters of the imaging device)

实现功能 1) 在用户界面设置录音时长并实时录音 2) 调节放音幅度、播放原声并进行时域、频域绘图 3) 对收集的声音进行倒放处理并播放 4) 对收集声音进行回声处理并播放，比对时域波形 5) 对收集声音进行回响处理并播放，比对时域波形 6) 对经过回声处理的声音进行回音消除并比对时域波形 7) 采用自适应滤波器消除采集声音中的环境噪音 8) 设计相应的滤波器组成均衡器对收集的声音进行处理并播放 9) 男女声识别 10) 设计参数可调的滤波器对采集的声音进行处理 (1) in the user interface to set the recording length and real-time recording 2) to adjust sound, played acoustic amplitude and time domain, frequency domain mapping 3) to upend the collection of sound and play 4) to collect sound echo processing and playback, than in the time domain waveform 5) to collect sound echoes, processing and playback, than in the time domain waveform 6) to echo and treated with echo s voice than in the time domain waveform 7) using adaptive filter to eliminate ambient noise in acquisition voice 8) to design the corresponding filter to process the voice of equalizer to collect and display 9) NanNvSheng recognition 10) tunable filter design parameters for voice processing )

matlab基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵 输入图像数据 返回八维纹理特征行向量 (Matlab co-occurrence matrix texture feature extraction, based on the d=1, theta =0 degrees, 45 degrees, 90 degrees, 135 degrees four matrix The input image data to return to the eight dimensional texture feature vector line)

Taking into account all the parameters mentioned, forming the appropriate programming to the controller in order to achieve the synchronization between the two systems, the appropriate amplitude and as well as the power management to the DC to control the power that is injected to the electrical grid, the results we take are in the range of high performance inverters. In this simulation scenario the power is high as the current has been increased and the THD is low

说明：  在新材料制备过程中，会遇到大贡的实脸数据需要处理的问题，利用visualBasic6.0调用Matlab可解 决这一问题。介绍了基本原理，执行办法，以及曲线拟合的理论方法，并给出了实现的程序和编制软件的部分界面。 (Abstract The preparation process of the new materials will meet the real face great tribute to deal with the problem of data, using visualBasic6.0 call Matlab solve this problem. Introduced the basic principles, implementation, and the theoretical curve fitting method, and gives the implementation process and the preparation of some of the software interface.)