ap_fft

tvnoise---a linear image denoising procedures denoising good results, a simple coding procedures

用MATLAB实现图像轮廓提取的方法和效果(MATLAB image contour extraction methods and results)

Python Testing Beginner s Guide

matlab中使用LM训练方法计算XOR，3-bit Parity，regression等问题的收敛速度，比较其收敛率。(using LEVENBERG MARQUARDT in matlab to compute convergence rate)

说明：  学习C调用Mathematica内核函数的一个例子,包括计算和图形接口.(Learning C calling Mathematica kernel functions with examples, including computing and graphics interfaces.)

This method usually increases the global contrast of many images, especially when the usable data of the image is represented by close contrast values. Through this adjustment, the intensities can be better distributed on the histogram. This allows for areas of lower local contrast to gain a higher contrast. Histogram equalization accomplishes this by effectively spreading out the most frequent intensity values.

The code is there for the Normalized Cross Correlation Techniques for object detection in matlab

说明：  模糊控制PID的simulink仿真(Simulink simulation of fuzzy PID control)

) Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree. () Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree. )

说明：  matlab时域分析法中GUI 设计响应(matlab GUI time-domain analysis of the design response)