TutorielMatlab

Simulation of static noise margin of 6T to 10T SRAM cells

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)

matlab绘制三维Hilbert谱程序，保证可用。上传文件采用的是.txt形式，实际使用时只需要将后缀改为.m即可在matlab中运行。(matlab draw three-dimensional Hilbert spectrum procedures to ensure that available. Upload file uses a .txt form, the actual use of the suffix to .m only need to be run in matlab.)

此程序使用MATLAB实现 利用升余弦滚降特性来检测信道质量(This program uses MATLAB implementation using raised cosine roll-off characteristics to detect the channel quality)

noise removal using spatial filter

这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱，代码包含的内容有：牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。(This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file). Based on MATLAB Optimization Toolbox, the content code contains: Newton and other non-binding one-dimensional extremum problems, such as simplex search method for unconstrained multi-dimensional extremum problems, Rosen gradient projection method and other constrained optimization problems, LM non-linear law least squares optimization problem, linear programming, integer programming, quadratic programming, particle swarm optimization, genetic algorithm.)

Matlab based program on Digital signal processing and DSK processor

基于核函数回归方法的图像去噪，图像平滑。对于图像领域的研究者有很大作用(Kernel regression method based on image denoising, image smoothing. Researchers in the field for the image plays a significant role)

bayesian classification performed for luekemia cancer cells data set

数字图像处理MATLAB版（中文版），找了很久才找到的，绝对经典教程，超详细(Digital Image Processing Using MATLAB (Chinese Edition), looking for a long time to find the absolute classic tutorial, ultra-detailed)