simd-viterbi-2.0.3.tar

it contains use case specification templates for a software engineering project

The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extraction, and classification. Each of these steps is a field unto itself, and is described briefly here in the context of a Matlab implementation of OCR.

扩频技术和cmda技术结合相结合进行通信系统的仿真(Cmda spread spectrum technology and communication technologies combining system simulation)

optimized-design-of-FIR-filters in pam

以速度为11m/s沿x轴做匀速直线运动，通过卡尔曼滤波跟踪目标，作出相应协方差图像，内有注释，根据相应功能可更改注释。(At the speed of 11 m/s, we perform uniform rectilinear motion along the X axis. We track the target through Kalman filter and make corresponding covariance images. There are annotations in it, and annotations can be changed according to the corresponding functions.)

Algorithm Collections for Digital Signal Processing

提供了比较流行的人脸识别算法源代码，非常适合实验仿真(a very useful tool for face reconizer)

MATLAB Controller Design GUI APPS

matlab粒子分析算法工具箱，这是最新的希望对有需要的人有用，这个是源代码(matlab particle analysis algorithm toolbox, which is the latest hope useful for people in need, this is the source code)

hiperlan2平台搭建，simulink，以及ml算法仿真(hiperlan2 simulink)