Kalman01

direct linear convolution for digital signal processing

DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and transmitted. The JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients, computes the inverse two-dimensional DCT of each block, and then puts the blocks back together into a single image. For typical images, many of the DCT coefficients have values close to zero these coefficients can be discarded without seriously affecting the quality of the reconstructed image. The example code below computes the two-dimensional DCT of 8-by-8 blocks in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients in each block, and then reconstructs the image using the two-dimensional inverse DCT of each block. The transform matrix computation method is used.

Data Clustering with Normalized Cuts

Edge Detection,Color Find,Maximum Color in Image User Interface

以matlab做pitch-shift的功能展示.基於phase-vocoder技術在頻域上做pitch-shift.(In matlab to do the pitch-shift function display based on phase-vocoder techniques in the frequency domain to make pitch-shift.)

A structure an motion toolkit in Matlab This document describes a set of Matlab functions for SAM (structure and motion recovery) its primary aim is to illustrate various methods developped over the past few years in this area

image file is used for image retrieval

编码格式转换，UTF8， ASIC， BIG5， GBK 相互转化(Encoding format conversion, UTF8, ASIC, BIG5, GBK into each other)

matlab程序，可任意生产波形，包括正弦波，谐波或者叠加的n次谐波，也可产生mif文件 (matlab procedures, arbitrary waveform production, including sine wave, or a superposition of harmonic n harmonics can produce mif file)

使用Matlab实现图形图像的拼接，压缩包中包含有完整的图片及程序，以及程序运行说明。(The code of Image Processing using Matlab)