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研究了自适应参数谱估计的基本原理，提出了基于最小均方误差(MMSE)准则的LMS格型滤波算法实 现自适应参数谱估计的方法。通过对仿真测试信号和线性调频信号的计算表明，该方法能够在改善谱分辨率的 同时提高运算效率，满足遥测速变信号的处理和分析计算的要求(This paper discusses the principle of adaptive parametric spectrum estimation．It provides an approach to es— timate power spectrum with a lattice filter according to the minimum mean square error(MMSE)criterion．The test re— sults of simulated observation signal and linear frequency modulation signal indicate this method improves the spectrum resolution and calculation eficiency，completely meets the requirements of the teleme data processing and analysis、)

performance of channel capacity in wireless communication systems

the intersection of cycl in matlab.show the result in figur.

说明：  This Matlab script illustrate how to Enhance the color image without change in HUE and without GAMUT problem.

Euler-maruyama 方法生成色噪声(Euler-maruyama method to generate colored noise)

Image Encryption based on the RGB PIXEL Transposition and Shuffling Abstract — Privacy is one of the key issues information Security addresses. Through encryption one can prevent a third party from understanding raw data during signal transmission. The encryption methods for enhancing the security of digital contents has gained high significance in the current era of breach of security and misuse of the confidential information intercepted and misused by the unauthorized parties. This paper sets out to contribute to the general body of knowledge in the area of cryptography application and by developing a cipher algorithm for image encryption of m*n size by shuffling the RGB pixel values. The algorithm ultimately makes it possible for encryption and decryption of the images based on the RGB pixel. The algorithm was implemented using MATLAB. Index Terms — Cryptography, Encryption, algorithm, cipher image

Block Matching Algorithm (continuous) Four Step Search

The following attachment contains code in Matlab to perform operations to digital signals.

ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead and Lowe [1], which are motivated by observation on the local response in biologic neurons. Due to their better approximation capabilities, simpler network structures and faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs.

介绍matlab GUI的axes，获得axes的图形等等的方法都有。(Introduction matlab GUI' s axes, axes of graphs, etc. to obtain the method has.)